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March 2026

Images (a) to (d) show the four acquisitions with respective AI-based segmentation and computed EECD values of (a) 1100 cells/mm2, (b) 1426 cells/mm2, (c) 1337 cells/mm2, and (d) 1296 cells/mm2. Noticeable shifts in guttae positioning across acquisitions lead to varying morphometric parameters, highlighting the need for using the median value as a robust measure for assessing corneal endothelium health. Marrugo et al. 2026

Image Credit: Marrugo et al.

Research Articles

Association between deep learning–based atrial fibrillation burden and in-hospital mortality

Yongseop Lee, Yujee Chang, Jihoon Seo, Jung Ah Lee, Jung Ho Kim, Jin Young Ahn, Su Jin Jeong, Jun Yong Choi, Joon-Sup Yeom, Nam Su Ku, Dukyong Yoon

SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare

Thomas Callender, Anders Boyd, Robert Davis, Silas Ruhrberg Estevez, Juan M. Lavista Ferres, Mihaela van der Schaar

Real-world effects of alcohol on heart rate, sleep, and physical activity by age and sex

Gregory J. Grosicki, Austin T. Robinson, Michael J. Joyner, Jason R. Carter, William von Hippel, David M. Presby, Finnbarr Fielding, Jeremy A. Bigalke, Jeongeun Kim, Christopher Chapman, Kristen E. Holmes

How exclusion criteria can hinder eligibility for lung cancer studies among different racial and ethnic groups

Jennifer Y. Kim, Abigail Dirks, Ruby Madison Ford, Lori Pai, Calvin Ludwig, Umit Tapan

Real World Human-LLM Interactions – Prospective blinded versus unblinded expert physician assessments of LLM responses to complex medical dilemmas

Itamar Ben Shitrit, Daphna Idan, Mark Volevich, Hadar Sharabi Goldenberg, Dolev Vaknin, Or Degany, Nitzan Abelson, Yair Binyamin, Raouf Nassar, Majd Nassar, Aviya Kedmi, Alexander Zlotnik, Sharon Einav

Advancing the science of qualitative patient preference assessment using large language models

Ted Grover, Emanuel Krebs, Deirdre Weymann, Morgan Ehman, Dean A. Regier

Cardiology knowledge assessment of retrieval-augmented open versus proprietary large language models

Constantine Tarabanis, Shaan Khurshid, Areti Karamanou, Rodo Piperaki, Lucas A. Mavromatis, Aris Hatzimemos, Dimitrios Tachmatzidis, Constantinos Bakogiannis, Vassilios Vassilikos, Patrick T. Ellinor, Lior Jankelson, Evangelos Kalampokis

Interpretable machine learning for predicting delays in seeking abortion among reproductive-aged women in Ethiopia: A study using EDHS 2016 data

Meron Asmamaw Alemayehu, Almaw Genet Yeshiwas, Abebaw Molla Kebede, Habitamu Mekonen, Getaneh Atikilt Yemata, Amare Genetu Ejigu, Ahmed Fentaw Ahmed, Abathun Temesgen, Gashaw Melkie Bayeh, Chalachew Yenew, Rahel Mulatie Anteneh, Zeamanuel Anteneh Yigzaw, Fantu Mamo Aragaw, Getasew Yirdaw, Sintayehu Simie Tsega, Anley Shiferaw Enawgaw, Tilahun Degu Tsega, Zufan Alamrie Asmare, Berhanu Abebaw Mekonnen

Evaluating the impact of discordant and missing demographic information on population health assessments using linked electronic health records and Census Bureau microdata

Derek Ouyang, Aubrey Limburg, David H. Rehkopf, Jacob Goldin, Robert L. Phillips, Victoria Udalova, Daniel E. Ho

Using supermarket loyalty card data to investigate seasonal variation in laxative purchases in the UK

Romana Burgess, Neo Poon, Edward Sloan, James Goulding, Helen Bould, Anya Skatova

Visual recognition limitations in multimodal large language models: A comparative analysis of histological image interpretation

Volodymyr Mavrych, Einas M. Yousef, Ahmed Yaqinuddin, Aftab Ahmed Shaikh, Olena Bolgova

Explainable artificial intelligence for personalized prognosis in pancreatic cancer: A nationwide study from Taiwan

Dai-Rong Tsai, Chun-Ju Chiang, Pei-Chun Hsieh, Chi-Yen Huang, Wen-Chung Lee

Participatory-informed preference optimization (PiPrO): A reinforcement learning simulation study

Tara Templin, Shuyi Song, Sophia Fort, Nasa Sinnott-Armstrong

Impact of electronic health records on nursing workflow efficiency and predictive factors in Palestinian hospitals

Fuad Farajalla, Mousa Farajallah, Nesreen Alqaissi, Mohammad Qtait, Zeenat Mousa Mesk

Clustering of disease trajectories with explainable machine learning: A case study on postoperative delirium phenotypes

Xiaochen Zheng, Ahmed Allam, Manuel Schürch, Xingyu Chen, Maria Angeliki Komninou, Reto Schüpbach, Jan Bartussek, Michael Krauthammer

A problem of Epic proportion

Rawan Abulibdeh, Matthew G. Crowson, Molly J. Douglas, Mena Ramos, Noelle N. Saillant, Leo Anthony Celi

SpiroLLM: Finetuning pretrained LLMs to understand spirogram time series with clinical validation in COPD reporting

Shuhao Mei, Yongchao Long, Xiaoyu Xiao, Shan Cao, Xiaobo Han, Shijia Geng, Jinbo Sun, Yuxi Zhou, Shenda Hong

Improvements in blood and fitness tracker biomarkers in a longitudinal real-world cohort of digital health platform users

Nimisha Schneider, Paul Fabian, Michelle Cawley, Bartek Nogal, Gil Blander, Renee Deehan

Patterns of smartphone typing performance by time awake: implications for unobtrusive ambulatory mental fatigue assessment

Yu Fang, Peter Yang, Elena Frank, Cathy Goldstein, Aidan G. C. Wright, Amy S. B. Bohnert, Vik Kheterpal, Srijan Sen, Zhenke Wu

Safeguarding patient privacy in eHealth systems: Bridging theory and practice through a scoping review and healthcare survey

Michael Winter, Robin Kraft, Celine Belas, Manfred Reichert, Maximilian Ertl, Rüdiger Pryss

Privacy concerns regarding personal health information in Myanmar: A cross-sectional survey in a least developed country

Khaing Zin Zin Htwe, Saranath Lawpoolsri, Ngamphol Soonthornworasiri, Panithee Thammawijaya, Jaranit Kaewkungwal

AVPENet: Pain estimation from audio-visual fusion of non-speech sounds

Sami Naouali, Oussama El Othmani

Vascular age estimation using a consumer wearable sleep tracker

Gizem Yilmaz, Shohreh Ghorbani, Ju Lynn Ong, Hosein Aghayan Golkashani, Chen Zhang, B. T. Thomas Yeo, Michael W. L. Chee

Large language model detects previously undiagnosed heart failure with preserved ejection fraction in patients with metabolic-associated fatty liver disease: A multicenter cohort study

Xiaodan Lu, Xuliang Wang, Da Liu, Zhiyuan Zhang, Yuqiang Zhang, Tiancheng Zhang, Di Lu, Shengli Kuang, Chunjin Lai, Fushi Piao, Min Lin, Shengsong Zhu, Zhuchang Tian, Wei Fu, Yongbin Dai, Chengli Yao, Gang Li, Zhenzhong Zheng, Xiangbin Meng, Hongxing Luo

3D-ViT-UNet: 3D Vision transformer based Unet-like model for Volumetric Brain Tumor Segmentation

Sikandar Afridi, Atif Jan, Muhammad Abeer Irfan, Muhammad Irfan Khattak, Taimur Ahmed Khan

Reviews

Autism data sharing: Benefits, challenges, and recommendations

Alexandra Lautarescu, Brett Trost, Azadeh Kushki, Bethany Oakley, Síofra Heraty, David Belton, Alison Boyle, Sarah Douglas, Ciara J. Molloy, Rosemary Holt, Madeleine Bloomfield, Florence Campana, Miro Cupak, Erica Stevenson, Julian Tillmann, Christopher Chatham, Evdokia Anagnostou, Dean Hartley, Tony Charman

Recent advances in corneal specular microscopy image analysis through artificial intelligence

Andres G. Marrugo, Fernando Quintero, Alejandro Tello, Angélica M. Prada, Virgilio Galvis, Lenny A. Romero

Correction

Correction: A feature-based qualitative assessment of smoking cessation mobile applications

Lydia Tesfaye, Michael Wakeman, Gunnar Baskin, Greg Gruse, Tim Gregory, Erin Leahy, Brandon Kendrick, Sherine El-Toukhy

Related Articles

Opinions

Beyond translation: A review into preserving human connection in AI-mediated health language interpretation

Kristina M. Kokorelias, Kateryna Metersky, Christina Reppas-Rindlisbacher, Areej Al-Hamad

Empowering the nursing workforce for cyber-resilience: Strategic preparedness and care management during hospital cyberattacks

Amir Mohammad Dorosti, Amin Soheili, Hamed Gholizad Gougjehyaran, Mir Amirhossein Seyednazari