Submissions from 2026
Endoscopist and Patients' Values and Preferences on Artificial Intelligence in Endoscopy: An Intercontinental Opinion Survey by the World Endoscopy Organization., O F Ahmad, A de Groof, A Ali, P Bassett, M Engels, S Hoogenboom, N Coelho-Prabhu, H Yu, M Mwachiro, Sravanthi Parasa, R Mansilla Vivar, J Mushtaq, H Neumann, S Thakkar, M F Byrne, J E van Hooft, T Yano, and Y Mori
Let's Talk Tech: The Role of Technology in Neurology Education., Catherine S W Albin, Jaclyn M Martindale, Rohit Marawar, Rachel Gottlieb-Smith, Ashley Paul, Jeffrey Strelzik, Alison Christy, Kathryn Xixis, and Jessica Goldstein
An AI-Ready Phosphorylation Meta-Analysis for, Ellen L Boswell, Kerry A Ramsbottom, Jun Fan, Yasset Perez-Riverol, Emily H Bowler-Barnett, Zhi Sun, Shahram Mesdaghi, Daniel J Rigden, Maria J Martin, Eric W Deutsch, Juan Antonio Vizcaíno, and Andrew R Jones
AI’s Role in Searching for Evidence: Friend and Foe, Barbara (Basia) Delawska-Elliott and Brandon Wilkinson
Expanding the human proteome with microproteins and peptideins., Eric W Deutsch, Leron W Kok, Jonathan M Mudge, Cristian F Valls, Irwin Jungreis, Jorge Ruiz-Orera, Zhi Sun, Ulrike Kusebauch, Ivo Fierro-Monti, Jennifer G Abelin, M Mar Alba, Julie L Aspden, Sreejan Bandyopadhyay, Kaushik Banerjee, Pavel V Baranov, Ariel A Bazzini, Francis Bourassa, Elspeth A Bruford, Lorenzo Calviello, Steven A Carr, Anne-Ruxandra Carvunis, Sonia Chothani, Jim Clauwaert, Kellie Dean, Pouya Faridi, Adam Frankish, Amy Goodale, Thomas Green, Norbert Hubner, Nicholas T Ingolia, Manolis Kellis, Michele Magrane, Maria Jesus Martin, Thomas F Martinez, Gerben Menschaert, Uwe Ohler, Sandra Orchard, Alisa Potter, Owen J L Rackham, Matthew G Rees, David E Root, Jennifer A Roth, Xavier Roucou, Fernando J Sialana, Sarah A Slavoff, Michał I Świrski, Jack A S Tierney, Félix-Antoine Trifiro, Eivind Valen, Valeriia Vasylieva, Aaron Wacholder, Shengbo Wang, Li Wang, Jonathan S Weissman, Wei Wu, Zhi Xie, Jyoti S Choudhary, Michal Bassani-Sternberg, Juan Antonio Vizcaíno, Nicola Ternette, Marie A Brunet, Robert L Moritz, John R Prensner, and Sebastiaan van Heesch
Artificial Intelligence for Gastroenterology Practice: A Modified Delphi Consensus., Seth A Gross, Aasma Shaukat, Anita Afzali, Joseph C Ahn, Jasmohan S Bajaj, Jodie A Barkin, Mohammad Bilal, Saurabh Chawla, Nayantara Coelho-Prabhu, Sarah M Enslin, Andrew D Feld, Harish K Gagneja, David J Hass, Yasmin G Hernandez-Barco, Sara N Horst, Brian C Jacobson, Patricia D Jones, Vivek Kaul, Vladimir M Kushnir, Cadman L Leggett, Galen Leung, Miguel Mascarenhas, Sravanthi Parasa, Nasim Parsa, Jason N Schairer, Eric D Shah, Douglas A Simonetto, Brennan Spiegel, Ryan W Stidham, Praveen Suthrum, Sapna Thomas, and Meridith E Phillips
Patient Perspectives on Artificial Intelligence in Gastroenterology: A Multicenter Survey of Knowledge, Concerns, and Beliefs., Vinay Jahagirdar, Sachin Srinivasan, Kareem Khalaf, Bhanu Siva Mohan Pinnam, Kaanthi Rama, Natalia Causada Calo, Madhav Desai, Vincent Hayes, Rajeev Chhabra, John P Campbell, Misha Gautam, Nivitha Kandulla, Carly Campbell, Sravanthi Parasa, and Prateek Sharma
Robotic assistance in revision spine surgery: a scoping review., Mohsen Karami, Luke L Jouppi, Mark Kraemer, Amir Abdul-Jabbar, Jens R Chapman, and Rod J Oskouian
Neighborhood matters: Predicting lung cancer screening adherence with explainable AI., Kun-Han Lu, Yi Xiao, Aamna Akhtar, Jazma Tapia, Calvin P Tribby, Peter Vien, Naj Boucher, Termisha Pete, David M Kadar, Viviana Rosales, Cherry Lee, WingYin Lau, Sophia Yueng, Jonjon Macalintal, Jiue-An Yang, Marta Jankowska, Chi Wah Wong, and Loretta Erhunmwunsee
Artificial intelligence versus experts: Navigating challenging cases in psoriatic disease., Lourdes M Pérez-Chada, Victoria Garfinkel, Beth A Childs, Akhil Bedapudi, Michael Woodbury, Arianna J Zhang, Eric Ruderman, Anthony P Fernandez, Philip Mease, Evan Siegel, Rebecca Haberman, Dafna D Gladman, Soumya M Reddy, Alexis Ogdie, Jose U Scher, Ryan W Stidham, and Joseph F Merola
Early Detection of Wellness-to-Disease Transitions in the AI Era: Implications for Pharmacology and Toxicology., Noa Rappaport, Bartek Nogal, Kevin Perrott, Vincenzo Domina, Leroy Hood, and Nathan D Price
We wait for disease to shout-What if we listened when biology whispered?, Noa Rappaport, Annalise Schweickart, Leroy Hood, and Nathan D Price
Priorities for advancing artificial intelligence in inflammatory bowel disease: a technology update., Anna L Silverman, Ryan W Stidham, Sravanthi Parasa, Prateek Sharma, and Uma Mahadevan
Machine Learning-Based Phenotypes Combined with Comorbidity Burden in Cardiogenic Shock., Jonas Sundermeyer, Elric Zweck, Song Li, Van-Khue Ton, Rachna Kataria, Manreet K Kanwar, Jaime Hernandez-Montfort, Shashank S Sinha, Christian Said, A Reshad Garan, Peter S Natov, Jacob Abraham, Paavni Sangal, Kevin J John, Daniel Burkhoff, and Navin K Kapur
Multi-modal AI for comprehensive breast cancer prognostication., Jan Witowski, Ken G Zeng, Joseph Cappadona, Jailan Elayoubi, Khalil Choucair, Elena Diana Chiru, Nancy Chan, Young-Joon Kang, Frederick Howard, Irina Ostrovnaya, Carlos Fernandez-Granda, Freya Schnabel, Zoe Steinsnyder, Ugur Ozerdem, Kangning Liu, Waleed Abdulsattar, Yu Zong, Lina Daoud, Rafic Beydoun, Anas M Saad, Nitya Thakore, Mohammad Sadic, Frank Yeung, Elisa Liu, Theodore Hill, Benjamin Swett, Danielle Rigau, Andrew J Clayburn, Valerie Speirs, Marcus Vetter, Lina Sojak, Simone Muenst, Daniel Baumhoer, Jia-Wern Pan, Haslina Makmur, Soo-Hwang Teo, Linda M Pak, Victor Angel, Dovile Zilenaite-Petrulaitiene, Arvydas Laurinavicius, Natalie Klar, Brian D Piening, Carlo Bifulco, Sun-Young Jun, Jae Pak Yi, Su Hyun Lim, Adam Brufsky, Francisco J Esteva, Lajos Pusztai, Yann LeCun, and Krzysztof J Geras
Submissions from 2025
Clinical and Multiomic Features Differentiate Young Black and White Breast Cancer Cohorts Derived by Machine Learning Approaches., Kawther Abdilleh, Boris Aguilar, and George Acquaah-Mensah
Radiomics Combined with Transcriptomics Improves Prediction of Breast Cancer Recurrence, Molecular Subtype and Grade., George K Acquaah-Mensah, Boris Aguilar, and Kawther Abdilleh
Evaluation of the use of convoluted neural network for detecting early gastric cancer and predicting its invasion depth: A systematic review and meta-analysis., Samagra Agarwal, Mahender Singh Rajput, Shivam Pandey, Daryl Ramai, James H Tabibian, Andrew Ofosu, Monique T Barakat, Mohit Girotra, and Soumya Jagannath Mahapatra
Discrimination of normal from slow-aging mice by plasma metabolomic and proteomic features., Bretton Badenoch, Oliver Fiehn, Noa Rappaport, Noa Rappaport, Kengo Watanabe, Sriram Chandrasekaran, and Richard A Miller
Exploring the Intersection of Artificial Intelligence and Psychosocial Oncology: Enhancing Care in the Digital Age, Jennifer Bires, Elizabeth Franklin, Krista Nelson, Kyle Bonesteel, and Douglas Flora
Evaluating human-in-the-loop strategies for artificial intelligence-enabled translation of patient discharge instructions: a multidisciplinary analysis., Ryan Cl Brewster, Gabriel Tse, Angela L Fan, Marwa Elborki, Maiah Newell, Priscilla Gonzalez, Amitra Hoq, Crystal Chang, Maksud Chowdhury, Adiba Geeti, Marlin Hana, Hoda Hassan, Osama Ibrahim, Lucine Keseyan, Qing Li, Md Mamoon, Maymona Nageye, Arthur Ohannessian, Ilan Rozen Eisenberg, Mohammad Sallam, Giordano Sosa Soto, Christina Su, Raffi Tachdjian, Mondira Ray, Hannah Lev, Jonathan D Hron, Nate Shaar, Nicholas Kuzma, and Alisa Khan
Credible inferences in microbiome research: ensuring rigour, reproducibility and relevance in the era of AI., Alberto Caminero, Carolina Tropini, Mireia Valles-Colomer, Dennis L Shung, Sean M Gibbons, Michael G Surette, Harry Sokol, Nicholas J Tomeo, Scientific Advisory Board of the Center for Gut Microbiome Research and Education of the American Gastroenterological Association, Phillip I Tarr, and Elena F Verdu
Large language models for detecting colorectal polyps in endoscopic images., Luca Carlini, Davide Massimi, Yuichi Mori, Giulio Antonelli, Tommy Rizkala, Marco Spadaccini, Chiara Lena, Sravanthi Parasa, Raf Bisschops, Daniel von Renteln, Susanne O'Reilly, Prateek Sharma, Douglas K Rex, Michael Bretthauer, Alessandro Repici, Elena De Momi, and Cesare Hassan
Electroencephalography-based diagnosis of schizophrenia using machine learning., Frederick Chien, Valentina L Kouznetsova, Santosh Kesari, and Igor F Tsigelny
Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets., Kyle Ellrott, Christopher K Wong, Christina Yau, Mauro A A Castro, Jordan A Lee, Brian J Karlberg, Jasleen K Grewal, Vincenzo Lagani, Bahar Tercan, Verena Friedl, Toshinori Hinoue, Vladislav Uzunangelov, Lindsay Westlake, Xavier Loinaz, Ina Felau, Peggy I Wang, Anab Kemal, Samantha J Caesar-Johnson, Ilya Shmulevich, Alexander J Lazar, Ioannis Tsamardinos, Katherine A Hoadley, A Gordon Robertson, Theo A Knijnenburg, Christopher C Benz, Joshua M Stuart, Jean C Zenklusen, Andrew D Cherniack, and Peter W Laird
The role of digital twins in P4 medicine: A paradigm for modern healthcare., Frank Emmert-Streib, Seppo Parkkila, Reinhard Laubenbacher, Arto Mannermaa, Leroy Hood, and Olli Yli-Harja
Mining the gaps: Deciphering Alzheimer's biology through AI-driven reconciliation., Cory C Funk, Tom Paterson, Alex Bangs, David M Cannon, George Savage, Eric Ringger, and Lee Hood
Analysis of clinical, single cell, and spatial data from the Human Tumor Atlas Network (HTAN) with massively distributed cloud-based queries., David L Gibbs, Dar'ya Pozhidayeva, Yamina Katariya, Boris Aguilar, Kristen Anton, Clarisse Lau, William Jr Longabaugh, Ino de Bruijn, Alex Lash, Milen Nikolov, Jennifer Altreuter, Ashley Clayton, Aditi Gopalan, Adam J Taylor, Nikolaus Schultz, Ethan Cerami, and Vesteinn Thorsson
miRNA-Based Diagnosis of Schizophrenia Using Machine Learning., Vishrut Heda, Saanvi Dogra, Valentina L Kouznetsova, Alex Kumar, Santosh Kesari, and Igor F Tsigelny
Machine Learning Model Predictors of Intrapleural Tissue Plasminogen Activator and DNase Failure in Pleural Infection: A Multicenter Study., Danai Khemasuwan, Candice Wilshire, Chakravarthy Reddy, Christopher Gilbert, Jed Gorden, Akshu Balwan, Trinidad M Sanchez, Billie Bixby, Jeffrey S Sorensen, and Samira Shojaee
Selective diagnostics of Amyotrophic Lateral Sclerosis, Alzheimer's and Parkinson's Diseases with machine learning and miRNA., Juhyeok Lee, Valentina L Kouznetsova, Santosh Kesari, and Igor Tsigelny
Point-of-Care Potassium Measurement vs Artificial Intelligence-Enabled Electrocardiography for Hyperkalemia Detection., Chin Lin, Chien-Chou Chen, Chin-Sheng Lin, Hung-Sheng Shang, Chia-Cheng Lee, Tom Chau, and Shih-Hua Lin
Longitudinal big biological data in the AI era., Adil Mardinoglu, Hasan Turkez, Minho Shong, Vishnuvardhan Pogunulu Srinivasulu, Jens Nielsen, Bernhard O Palsson, Leroy Hood, and Mathias Uhlen
Application of artificial intelligence to analyze data from randomized controlled trials: An example from DECAAF II., Mario Mekhael, Han Feng, Nazem Akoum, Christian Sohns, Philipp Sommer, Christian Mahnkopf, Eugene Kholmovski, Jeroen J Bax, Prashanthan Sanders, Christopher J McGann, Francis Marchlinski, Moussa Mansour, Gerhard Hindricks, David Wilber, Hugh Calkins, Pierre Jais, Hadi Younes, Ala Assaf, Charbel Noujaim, Chanho Lim, Chao Huang, Amitabh Pandey, Oussama Wazni, and Nassir Marrouche
Individualized dynamic risk assessment and treatment selection for multiple myeloma., Carl Murie, Serdar Turkarslan, Anoop P Patel, David G Coffey, Pamela S Becker, and Nitin S Baliga
Artificial intelligence in sleep medicine: an updated American Academy of Sleep Medicine position statement., Margarita Oks, Ramesh Sachdeva, Mattina A Davenport, Aatif M Husain, Maninder Kalra, Vidya Krishnan, Trung Le, Ankit A Parekh, Hyung Park, Bharati Prasad, Scott M Ryals, Subaila Zia, Matthew Anastasi, Anita V Shelgikar, Fariha Abbasi-Feinberg, Alexandre Rocha Abreu, Anuja Bandyopadhyay, Indira Gurubhagavatula, Vishesh K Kapur, David Kuhlmann, Eric J Olson, Susheel P Patil, James A Rowley, Lynn Marie Trotti, and Emerson M Wickwire
Natural Language Processing in Gastroenterology: Current Applications and Future Directions., Sravanthi Parasa and Arun R Sridhar
Use of Artificial Intelligence in Lower Gastrointestinal and Small Bowel Disorders: An Update Beyond Polyp Detection., Mili Parikh, Sooraj Tejaswi, Tavishi Girotra, Shreya Chopra, Daryl Ramai, James H Tabibian, Soumya Jagannath, Andrew Ofosu, Monique T Barakat, Rajnish Mishra, and Mohit Girotra
An Indicator Cell Assay-based Multivariate Blood Test for Early Detection of Alzheimer's Disease., Yijun Sherry Qi, Leslie Rae Miller, Mark D D'Ascenzo, Jason D Berndt, G Adam Whitney, Fergal Duffy, Samuel A Danziger, Elaine Peskind, Ge Li, Colin L Masters, Christopher Fowler, Robert Lipshutz, John D Aitchison, and Jennifer J Smith
Deep Learning Methods in the Imaging of Hepatic and Pancreaticobiliary Diseases., Daryl Ramai, Brendan Collins, Andrew Ofosu, Babu P Mohan, Soumya Jagannath, James H Tabibian, Mohit Girotra, and Monique T Barakat
Adoption of Single-Port Robotic Partial Nephrectomy Increases Utilization of the Retroperitoneal Approach: A Report from the Single-Port Advanced Research Consortium., Michael Raver, Mutahar Ahmed, Kennedy E Okhawere, Indu Saini, Ruchir Chaturvedi, Milan Patel, Ruben Sauer Calvo, Nicolas A Soputro, Roxana Ramos, Mubashir Billah, Simone Crivellaro, Ahmed M Mansour, Jihad Kaouk, Nirmish Singla, James Porter, Ronney Abaza, Akshay Bhandari, Ashok K Hemal, Phillip M Pierorazio, Benjamin I Chung, Craig G Rogers, Reza Mehrazin, Ketan Badani, and Michael Stifelman
External evaluation of a commercial artificial intelligence-augmented digital auscultation platform in valvular heart disease detection using echocardiography as reference standard., Valentina Roquemen-Echeverri, Peter G Jacobs, Evan F Shalen, Peter M Schulman, Stephen B Heitner, Quin Denfeld, Bethany Wilson, John Halvorson, Daniel Scott, Tomás Londoño-Murillo, and Clara Mosquera-Lopez
Reply to: Correction to external evaluation of a commercial artificial intelligence-augmented digital auscultation platform in valvular heart disease detection using echocardiography as reference standard., Valentina Roquemen-Echeverri, Peter G Jacobs, Evan F Shalen, Peter M Schulman, Stephen B Heitner, Quin Denfeld, Bethany Wilson, John Halvorson, Daniel Scott, Tomás Londoño-Murillo, and Clara Mosquera-Lopez
Medical digital twins: enabling precision medicine and medical artificial intelligence., Christoph Sadée, Stefano Testa, Thomas Barba, Katherine Hartmann, Maximilian Schuessler, Alexander Thieme, George M Church, Ifeoma Okoye, Tina Hernandez-Boussard, Leroy Hood, Ilya Shmulevich, Ellen Kuhl, and Olivier Gevaert
Development and validation of clinical screening systems for Cushing disease in the United States., Jorge E Salcedo-Sifuentes, Sonal Mehta, Carter M Suryadevara, Marvin Bergsneider, Kevin C J Yuen, Paul A Gardner, Julie M Silverstein, Albert H Kim, James J Evans, Garni Barkhoudarian, Juan C Fernandez-Miranda, William T Couldwell, Robert C Rennert, Varun R Kshettry, Kyle C Wu, Carolina Benjamin, Gabriel Zada, Michael R Chicoine, Jamie J Van Gompel, Michael P Catalino, Michael Karsy, Adam Mamelak, Ildiko Torok, Trevor Low, Won Kim, Donato R Pacione, and Nidhi Agrawal
Single-port Robotic Retroperitoneal Partial Nephrectomy via Low Anterior Access: A Propensity-matched Comparative Analysis to Standard Transperitoneal Multiport Robotic Surgery from the Single Port Advanced Research Consortium (SPARC)., Nicolas A Soputro, Sonam Saxena, Jewel Bamby, Arianna Biasatti, Francesco Aguirre, Ruben Sauer Calvo, Gabriela Nieto-Blanco, Rasheed Thompson, Kennedy E Okhawere, Graham Kupsaw, Abdulrahman Al-Bayati, Sarah Duncan, Gianna Jimenez, Dattatraya Patil, Shamsunnahar Imtiaz, C Adam Lorentz, Jennifer A Linehan, Simone Crivellaro, Srinivas Vourganti, Riccardo Autorino, Mihir S Shah, Andrew Wagner, Peter Chang, Mutahar Ahmed, Michael D Stifelman, Bertram Yuh, Ketan K Badani, and Jihad Kaouk
Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection., Andrea M Storås, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Wojciech Samek, Pål Halvorsen, Thomas de Lange, Yuichi Mori, Alexander Hann, Tyler M Berzin, Sravanthi Parasa, and Michael A Riegler
Development of a Diagnostic Model for Pancreatic Ductal Adenocarcinoma Using Machine Learning and Blood-Based miRNAs., Jason Y Tang, Valentina L Kouznetsova, Santosh Kesari, and Igor F Tsigelny
Multimodal AI generates virtual population for tumor microenvironment modeling., Jeya Maria Jose Valanarasu, Hanwen Xu, Naoto Usuyama, Chanwoo Kim, Cliff Wong, Peniel Argaw, Racheli Ben Shimol, Angela Crabtree, Kevin Matlock, Alexandra Q Bartlett, Jaspreet Bagga, Yu Gu, Sheng Zhang, Tristan Naumann, Bernard A Fox, Bill J. Wright, Ari Robicsek, Brian D. Piening, Carlo Bifulco, Sheng Wang, and Hoifung Poon
Developing a novel medulloblastoma diagnostic with miRNA biomarkers and machine learning., Chloe Wang, Valentina L Kouznetsova, Santosh Kesari, and Igor F Tsigelny
The Philosophy of Artificial Intelligence in Healthcare: Facilitating a Human-Centred Paradigm to Optimize Healthcare Outcomes., Holly Wei, Sylvain Trepanier, Trent Wei, David Marshall, Robert D Wiley, and Darrin D'Agostino
Deploying ambient clinical intelligence to improve care: A research article assessing the impact of nuance DAX on documentation burden and burnout., Staci J. Wendt, Catherine T Dinh, Michael G Sutcliffe, Kyle G Jones, James Scanlan, and J Scott Smitherman
Deploying Ambient Clinical Intelligence to Improve Care: A Research Article Assessing the Impact of Nuance DAX on Documentation Burden and Burnout, Staci J. Wendt, Catherine T Dinh, Michael G Sutcliffe, Kyle Jones, James M Scanlan, and J Scott Smitherman
Disease diagnostics using machine learning of B cell and T cell receptor sequences., Maxim E Zaslavsky, Erin Craig, Jackson K Michuda, Nidhi Sehgal, Nikhil Ram-Mohan, Ji-Yeun Lee, Khoa D Nguyen, Ramona A Hoh, Tho D Pham, Katharina Röltgen, Brandon Lam, Ella S Parsons, Susan R Macwana, Wade DeJager, Elizabeth M Drapeau, Krishna M Roskin, Charlotte Cunningham-Rundles, M Anthony Moody, Barton F Haynes, Jason D Goldman, James R Heath, R Sharon Chinthrajah, Kari C Nadeau, Benjamin A Pinsky, Catherine A Blish, Scott E Hensley, Kent Jensen, Everett Meyer, Imelda Balboni, Paul J Utz, Joan T Merrill, Joel M Guthridge, Judith A James, Samuel Yang, Robert Tibshirani, Anshul Kundaje, and Scott D Boyd
Digital twin models for predicting venetoclax and azacitidine-induced neutropenia in patients with acute myeloid leukemia., Yue Zhang, Jonathan Martinez, Bahar Tercan, Heikki Kuusanmäki, Frank Emmert-Streib, Jerome G Chandraseelan, Amer Farea, Olli Yli-Harja, Caroline A Heckman, David L Gibbs, Vesteinn Thorsson, Ilya Shmulevich, Mika Kontro, Guangrong Qin, and Boris Aguilar
Machine-learning diagnostics of breast cancer using piRNA biomarkers., Amy R Zhao, Valentina L Kouznetsova, Santosh Kesari, and Igor F Tsigelny
Submissions from 2024
Clinical and Multiomic Features Differentiate Young Black and White Breast Cancer Cohorts Derived by Machine Learning Approaches., Kawther Abdilleh, Boris Aguilar, and George Acquaah-Mensah
Evaluating the fairness and accuracy of machine learning-based predictions of clinical outcomes after anatomic and reverse total shoulder arthroplasty., Christine Allen, Vikas Kumar, Josie Elwell, Steven Overman, Bradley S Schoch, William Aibinder, Moby Parsons, Jonathan Watling, Jiawei Kevin Ko, Bruno Gobbato, Thomas Throckmorton, Howard Routman, and Christopher P Roche
The doc versus the bot: A pilot study to assess the quality and accuracy of physician and chatbot responses to clinical questions in gynecologic oncology., Mary Katherine Anastasio, Pamela Peters, Jonathan Foote, Alexander Melamed, Susan C Modesitt, Fernanda Musa, Emma Rossi, Benjamin B Albright, Laura J Havrilesky, and Haley A Moss
QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy., Giulio Antonelli, Diogo Libanio, Albert Jeroen De Groof, Fons van der Sommen, Pietro Mascagni, Pieter Sinonquel, Mohamed Abdelrahim, Omer Ahmad, Tyler Berzin, Pradeep Bhandari, Michael Bretthauer, Miguel Coimbra, Evelien Dekker, Alanna Ebigbo, Tom Eelbode, Leonardo Frazzoni, Seth A Gross, Ryu Ishihara, Michal Filip Kaminski, Helmut Messmann, Yuichi Mori, Nicolas Padoy, Sravanthi Parasa, Nastazja Dagny Pilonis, Francesco Renna, Alessandro Repici, Cem Simsek, Marco Spadaccini, Raf Bisschops, Jacques J G H M Bergman, Cesare Hassan, and Mario Dinis Ribeiro
Using Machine Learning and miRNA for the Diagnosis of Esophageal Cancer., Vishnu A Aravind, Valentina L Kouznetsova, Santosh Kesari, and Igor F Tsigelny
Leveraging the electronic health record to identify delivery of goal-concordant care., Catherine L Auriemma, Anne Song, Lake Walsh, Jason Han, Sophia Yapalater, Alexander Bain, Lindsay Haines, Stefania Scott, Casey Whitman, Stephanie P Taylor, Gary E Weissman, Matthew J Gonzales, Roshanthi Weerasinghe, Staci J Wendt, and Katherine R Courtright
Segmentation of pre- and posttreatment diffuse glioma tissue subregions including resection cavities., Saif Baig, Igor Vidic, George M Mastorakos, Robert X Smith, Nathan White, Suzie Bash, Anders M Dale, Carrie R McDonald, Thomas Beaumont, Tyler M Seibert, Jona Hattangadi-Gluth, Santosh Kesari, Nikdokht Farid, and Jeffrey D Rudie
Can Artificial Intelligence Be Utilized to Predict Real-Time Adverse Outcomes in Individuals Arriving at the Emergency Department With Hyperglycemic Crises?: Implications for APRN Practice., Alisha Amin Bhimani, Tova Safier Frenkel, and Adam Kaizer Hasham
We Need RI and Not Just AI! Thoughts on the Implementation of Artificial Intelligence in Medicine and Spine Surgery Specifically., Jens R Chapman, Jeffrey C Wang, and Karsten Wiechert
Let's Put AI to Really Good Use!, Jens R Chapman, Jeff Wang, and Karsten Wiechert
A Physician-Created Platform to Speed Clinical Decision-Making and Referral Workflow, Eve Cunningham, Jessica Schlicher, Adrian Yanes, Erin Longley, and Rebecca Poage
Use of a Novel Artificial Intelligence System Leads to the Detection of Significantly Higher Number of Adenomas During Screening and Surveillance Colonoscopy: Results From a Large, Prospective, US Multicenter, Randomized Clinical Trial., Madhav Desai, Karlee Ausk, Donald Brannan, Rajiv Chhabra, Walter Chan, Michael Chiorean, Seth A Gross, Mohit Girotra, Gregory Haber, Reed B Hogan, Bobby Jacob, Sreeni Jonnalagadda, Lulu Iles-Shih, Navin Kumar, Joanna Law, Linda Lee, Otto Lin, Meir Mizrahi, Paulo Pacheco, Sravanthi Parasa, Jennifer Phan, Vonda Reeves, Amrita Sethi, David Snell, James Underwood, Nanda Venu, Kavel Visrodia, Alina Wong, Jessica Winn, Cindy Haden Wright, and Prateek Sharma
Development and validation of metrics for a new RAPN training model., Rui Jorge Dos Santos Almeida Farinha, Adele Piro, Angelo Mottaran, Marco Paciotti, Stefano Puliatti, Alberto Breda, James Porter, Ben Van Cleynenbreugel, Jos Vander Sloten, Alexandre Mottrie, RAPN-Delphi Surgeons Group, and Anthony G Gallagher
The AI Maturity Roadmap: A Framework for Effective and Sustainable AI in Health Care, Peter Durlach, Robert Fournier, Jeremy Gottlich, Tristan Markwell, Jon McManus, Andy Merrill, and David Rhew
Complexity data science: A spin-off from digital twins., Frank Emmert-Streib, Hocine Cherifi, Kimmo Kaski, Stuart Kauffman, and Olli Yli-Harja
Deep Learning Segmentation of Infiltrative and Enhancing Cellular Tumor at Pre- and Posttreatment Multishell Diffusion MRI of Glioblastoma., Louis Gagnon, Diviya Gupta, George Mastorakos, Nathan White, Vanessa Goodwill, Carrie R McDonald, Thomas Beaumont, Christopher Conlin, Tyler M Seibert, Uyen Nguyen, Jona Hattangadi-Gluth, Santosh Kesari, Jessica D Schulte, David Piccioni, Kathleen M Schmainda, Nikdokht Farid, Anders M Dale, and Jeffrey D Rudie
Increasing Realism and Variety of Virtual Patient Dialogues for Prenatal Counseling Education Through a Novel Application of ChatGPT: Exploratory Observational Study., Megan Gray, Austin Baird, Taylor Sawyer, Jasmine James, Thea DeBroux, Michelle Bartlett, Jeanne Krick, and Rachel Umoren
A data-driven approach to improve wellness and reduce recurrence in cancer survivors., Ramkumar Hariharan, Leroy Hood, and Nathan D Price
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations., Steven Hicks, Andrea Storås, Michael A Riegler, Cise Midoglu, Malek Hammou, Thomas de Lange, Sravanthi Parasa, Pål Halvorsen, and Inga Strümke
Digital Pathology for Better Clinical Practice., Assia Hijazi, Carlo Bifulco, Pamela Baldin, and Jérôme Galon
Machine Learning Model Predictors of Intrapleural tPA and DNase Failure in Pleural Infection: A Multicenter Study., Danai Khemasuwan, Candice L. Wilshire, Chakravathy Reddy, Christopher Gilbert, Jed A Gordon, Akshu Balwan, Trinidad M Sanchez, Billie Bixby, Jeffrey S Sorensen, and Samira Shojaee
Parkinson's Disease Diagnosis Using miRNA Biomarkers and Deep Learning., Alex Kumar, Valentina L Kouznetsova, Santosh Kesari, and Igor F Tsigelny
Forum on immune digital twins: a meeting report., Reinhard Laubenbacher, Fred Adler, Gary An, Filippo Castiglione, Stephen Eubank, Luis L Fonseca, James Glazier, Tomas Helikar, Marti Jett-Tilton, Denise Kirschner, Paul Macklin, Borna Mehrad, Beth Moore, Virginia Pasour, Ilya Shmulevich, Amber Smith, Isabel Voigt, Thomas E Yankeelov, and Tjalf Ziemssen
Toward mechanistic medical digital twins: some use cases in immunology., Reinhard Laubenbacher, Fred Adler, Gary An, Filippo Castiglione, Stephen Eubank, Luis L Fonseca, James Glazier, Tomas Helikar, Marti Jett-Tilton, Denise Kirschner, Paul Macklin, Borna Mehrad, Beth Moore, Virginia Pasour, Ilya Shmulevich, Amber Smith, Isabel Voigt, Thomas E Yankeelov, and Tjalf Ziemssen
Digital twins in medicine., R Laubenbacher, B Mehrad, Ilya Shmulevich, and N Trayanova
Predicting Early-Onset Colorectal Cancer with Large Language Models., Wilson Lau, Youngwon Kim, Sravanthi Parasa, Md Enamul Haque, Anand Oka, and Jay Nanduri
Physician perceptions on the current and future impact of artificial intelligence to the field of gastroenterology., Cadman L Leggett, Sravanthi Parasa, Alessandro Repici, Tyler M Berzin, Seth A Gross, and Prateek Sharma
Artificial intelligence-enabled electrocardiography contributes to hyperthyroidism detection and outcome prediction., Chin Lin, Feng-Chih Kuo, Tom Chau, Jui-Hu Shih, Chin-Sheng Lin, Chien-Chou Chen, Chia-Cheng Lee, and Shih-Hua Lin
A multiscale model of immune surveillance in micrometastases gives insights on cancer patient digital twins., Heber L Rocha, Boris Aguilar, Michael Getz, Ilya Shmulevich, and Paul Macklin
Tumour evolution and microenvironment interactions in 2D and 3D space., Chia-Kuei Mo, Jingxian Liu, Siqi Chen, Erik Storrs, Andre Luiz N Targino da Costa, Andrew Houston, Michael C Wendl, Reyka G Jayasinghe, Michael D Iglesia, Cong Ma, John M Herndon, Austin N Southard-Smith, Xinhao Liu, Jacqueline Mudd, Alla Karpova, Andrew Shinkle, S Peter Goedegebuure, Abdurrahman Taha Mousa Ali Abdelzaher, Peng Bo, Lauren Fulghum, Samantha Livingston, Metin Balaban, Angela Hill, Joseph E Ippolito, Vésteinn Thorsson, Jason M Held, Ian S Hagemann, Eric H Kim, Peter O Bayguinov, Albert H Kim, Mary M Mullen, Kooresh I Shoghi, Tao Ju, Melissa A Reimers, Cody Weimholt, Liang-I Kang, Sidharth V Puram, Deborah J Veis, Russell Pachynski, Katherine C Fuh, Milan G Chheda, William E Gillanders, Ryan C Fields, Benjamin J Raphael, Feng Chen, and Li Ding
Machine learning clustering of adult spinal deformity patients identifies four prognostic phenotypes: a multicenter prospective cohort analysis with single surgeon external validation., Sarthak Mohanty, Fthimnir M Hassan, Lawrence G Lenke, Erik Lewerenz, Peter G Passias, Eric O Klineberg, Virginie Lafage, Justin S Smith, D Kojo Hamilton, Jeffrey L Gum, Renaud Lafage, Jeffrey Mullin, Bassel Diebo, Thomas J Buell, Han Jo Kim, Khalid Kebaish, Robert Eastlack, Alan H Daniels, Gregory Mundis, Richard Hostin, Themistocles S Protopsaltis, Robert A Hart, Munish Gupta, Frank J Schwab, Christopher I Shaffrey, Christopher P Ames, Douglas Burton, Shay Bess, and International Spine Study Group
Augmenting colonoscopy with AI: insights and future directions., Sravanthi Parasa
Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology., Sravanthi Parasa, Tyler Berzin, Cadman Leggett, Seth Gross, Alessandro Repici, Omer F Ahmad, Austin Chiang, Nayantara Coelho-Prabhu, Jonathan Cohen, Evelien Dekker, Rajesh N Keswani, Charles E Kahn, Cesare Hassan, Nicholas Petrick, Peter Mountney, Jonathan Ng, Michael Riegler, Yuichi Mori, Yutaka Saito, Shyam Thakkar, Irving Waxman, Michael Bradley Wallace, and Prateek Sharma
Mutation Patterns Predict Drug Sensitivity in Acute Myeloid Leukemia., Guangrong Qin, Jin Dai, Sylvia Chien, Timothy J Martins, Brenda Loera, Quy H Nguyen, Melanie L Oakes, Bahar Tercan, Boris Aguilar, Lauren Hagen, Jeannine McCune, Richard Gelinas, Raymond J Monnat, Ilya Shmulevich, and Pamela S Becker
Using Large Language Models to Annotate Complex Cases of Social Determinants of Health in Longitudinal Clinical Records., Alexandra Ralevski, Nadaa Taiyab, Michael Nossal, Lindsay Mico, Samantha N Piekos, and Jennifer Hadlock
Using Large Language Models to Abstract Complex Social Determinants of Health From Original and Deidentified Medical Notes: Development and Validation Study., Alexandra Ralevski, Nadaa Taiyab, Michael Nossal, Lindsay T Mico, Samantha Piekos, and Jennifer Hadlock
Trifecta Outcomes After Use of 3-Dimensional Digital Models for Planning of Robotic Prostatectomy: A Secondary Analysis of a Randomized Clinical Trial., Joseph D Shirk, Robert E Reiter, Eric M Wallen, Raymond W Pak, Thomas Ahlering, Ketan K Badani, and James R Porter
Development of a Diagnostic Model for Pancreatic Ductal Adenocarcinoma Using Machine Learning and Blood-Based miRNAs., Jason Y Tang, Valentina L Kouznetsova, Santosh Kesari, and Igor F Tsigelny
Detection of the Arabidopsis Proteome and Its Post-translational Modifications and the Nature of the Unobserved (Dark) Proteome in PeptideAtlas, Klaas J van Wijk, Tami Leppert, Zhi Sun, Alyssa Kearly, Margaret Li, Luis Mendoza, Isabell Guzchenko, Erica Debley, Georgia Sauermann, Pratyush Routray, Sagunya Malhotra, Andrew Nelson, Qi Sun, and Eric W Deutsch
Using an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levels., Pranav Warman, Anmol Warman, Roshan Warman, Andrew Degnan, Johan Blickman, David Smith, Paul McHale, Zachary Coburn, Sean McCormick, Varun Chowdhary, Dev Dash, Rohit Sangal, Jason Vadhan, Tulio Bueso, Thomas Windisch, and Gabriel Neves
A deep learning method to identify and localize large-vessel occlusions from cerebral digital subtraction angiography., Roshan Warman, PranavI Warman, Anmol Warman, Tulio Bueso, Riichi Ota, Thomas Windisch, and Gabriel Neves
Machine learning to understand risks for severe COVID-19 outcomes: a retrospective cohort study of immune-mediated inflammatory diseases, immunomodulatory medications, and comorbidities in a large US health-care system., Qi Wei, Philip J Mease, Michael Chiorean, Lulu Iles-Shih, Wanessa F Matos, Andrew Baumgartner, Sevda Molani, Yeon Mi Hwang, Basazin Belhu, Alexandra Ralevski, and Jennifer Hadlock
When Will Peer-Review Become A.I.-Review?, Karsten Wiechert, Jeffrey C Wang, and Jens R Chapman
A whole-slide foundation model for digital pathology from real-world data., Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, Roshanthi Weerasinghe, Bill J Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, and Hoifung Poon
