LC
Leo Anthony Celi
Artificial Intelligencecs.LGcs.AIArtificial intelligencehealth informaticsIntensive Care UnitsCritical Carecs.CLartificial intelligenceMachine learning
On Valency
published · living versionsW_r4hehapn·v1 · currentpublished
Data Provenance and Ethics in the Curricula of U.S. Health AI Education Programs
with Raffaele Giancotti, Francesca Santucci, Amama Anjum, Monique de Villa +3
1 version
W_p9e7su6t·v1published
W_qg2btp2g·v1published
Preprints & journals
641 papers in the corpus · 1998–2027DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses2610.23839v2 · Jianyuan Zhong, Chenwei Wu, Zhaochen Yu et al.2026 · 0 citationsarXiv
Progressing From Association to Causation: Examining Prior Antibiotic Exposure and Antimicrobial Resistance Across Three US Health Systems Using Causal Machine Learning.42878671 · Kuruvikkattil, Aravind V, Shukla, Shikhar, Celi, Leo A et al.2026 · 1 citationClinical infectious diseases : an official publication of the Infectious Diseases Society of America. 2026
PAINT: A Framework for Multilingual Pain Representation from Medical Licensing Exams to Real-World Clinical Texts2610.18269v1 · Boya Zhang, Yuanchao Ma, Jiageng Wu et al.2026 · 0 citationsarXiv
AI-assisted scoping review of code sharing in clinical prediction model research.42855584 · Sounack, Thomas, Giancotti, Raffaele, Gao, Catherine A et al.2026 · 0 citationsNature medicine. 2026
Credential farming in the age of generative AI: relocating trust from outputs to communities.42926928 · Agyemang, Gift Osei, Al-Louzi, Rawad, Bawoke, Melat Mezgebu et al.2026 · 0 citationsResearch square. 2026
ReMAP: Restoring the Perceptual Cycle with Reasoning-Time Latent Visual Memory2610.05097v1 · Hao Jiang, Zhanyu Guo, Chenwei Wu et al.2026 · 0 citationsarXiv
Licensure Framework for Autonomous Clinical Artificial Intelligence.42814414 · Jaiswal, Nikhil, Acevedo, Hector, Celi, Leo Anthony2026 · 0 citationsJAMA. 2026;336(16):1477
Diabetic retinopathy screening using artificial intelligence: a comprehensive performance comparison on datasets from diverse populations and imaging modalities.42697237 · Schapotschnikow, Philipp, Dusiak, Vladyslav, Osswald, Murat et al.2026 · 0 citationsPhysiological measurement. 2026;47(9)
The dead science theory.42759220 · Le Guellec, Bastien, Bentegeac, Raphaël, Boyer, Laurent et al.2026 · 1 citationJournal of epidemiology and population health. 2026;74(5):203798
M3: Conversational LLMs simplify secure clinical data access, understanding, and analysis.42752561 · Al Attrach, Rafi, Moreira, Pedro, Fani, Rajna et al.2026 · 3 citationsPLOS digital health. 2026;5(9):e0001671
ModaLens: Measuring Image Sensitivity in Report-Conditioned Medical VLMs2609.15635v1 · Sebasti'an Andr'es Cajas Ord'onez, Maximin Lange, Quang Bui et al.2026 · 0 citationsarXiv
Towards a Deterministic Math Solver for Clinical Language Models2609.10728v1 · Felipe Ocampo Osorio, Sebasti'an Andr'es Cajas Ordonez, Maximin Lange et al.2026 · 0 citationsarXivon Valency
Artificial intelligence for Amazonian health: validation is the price of entry.42740791 · Serrao, Matheus, Lasmar, Michella, Nakayama, Luis et al.2026 · 0 citationsLancet regional health. Americas. 2026;62:101627
Hidden in Plain Sight: Vector Embeddings give away Demographic Information.42696629 · Quarta, Alessandro, Santos, Filipe, Marzullo, Aldo et al.2026 · 0 citationsIEEE journal of biomedical and health informatics. 2026;PP
Echo Chambers: Bias and Representation in Cardiac Imaging Datasets for Artificial Intelligence.42671712 · Gorijavolu, Rahul, Jaiswal, Nikhil, Pratap, Jayanth S et al.2026 · 0 citationsCurrent cardiology reports. 2026;28(1)
When an Algorithm Renews a Prescription.42671833 · Jaiswal, Nikhil, Gorijavolu, Rahul, Hernandez-Boussard, Tina et al.2026 · 0 citationsJAMA internal medicine. 2026;186(11):1292-1294
1,357 AI medical devices cleared, 3 actually tested on patient outcomes.42616721 · Abulibdeh, Rawan, Cajas Ordóñez, Sebastián Andrés, Celi, Leo Anthony et al.2026 · 0 citationsPLOS digital health. 2026;5(8):e0001597
Large Language Models Generate Stigmatizing Language During Reasoning Over Real-World Clinical Data10.64898/2026.08.12.26360210v2 · Yang, Y., Gu, B., Hathaway, D. B. et al.2026 · 1 citationmedRxiv
Impact of an ROX index-guided intubation strategy on mortality in patients receiving high-flow nasal cannula: a target trial emulation.42698089 · Yamamoto, Ryohei, Tohyama, Takeshi, Han, Ahram et al.2026 · 0 citationsJournal of intensive care. 2026;14(1)
Clinical predictive artificial intelligence evaluation: A narrative review of trial designs and practical considerations.42579710 · Fosset, Maxime, Pensier, Joris, Jung, Boris et al.2026 · 1 citationPLOS digital health. 2026;5(8):e0001621
Cultivating adaptive expertise in critical care: reimagining intensive care unit education in the era of Artificial Intelligence.42585378 · Teng, Miini Minami, Tsuei, Sian Hsiang-Te, Koblanski, Maya et al.2026 · 0 citationsCritical care science. 2026;38:e20260040
Deep Learning Estimation of Forced Expiratory Volume in One Second/Forced Vital Capacity and Obstructive Lung Disease Classification From Chest Radiographs With Subgroup Performance Analysis in a North American Cohort: Retrospective Cohort Study.42555927 · Nashnoush, Eptehal, D'Couto, Helen, Fine, Benjamin et al.2026 · 0 citationsJMIR AI. 2026;5:e87770
Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent Systems2608.03744v2 · Sebasti'an Andr'es Cajas Ord'onez, Agastya Munnangi, Aldo Marzullo et al.2026 · 0 citationsarXiv
Loud or Silent? A Reusable Framework for Per-Modality Failure Analysis in Multimodal Clinical AI2608.01462v1 · Quang Bui, Shlok Jaiswal, Samuel Paik-Heintz et al.2026 · 0 citationsarXiv
Whose Federation? Epistemic Closure, Community Exclusion, and the Political Economy of Federated Learning.42545290 · Acevedo, Hector, Al-Louzi, Rawad, Celi, Leo Anthony et al.2026 · 1 citationThe American journal of bioethics : AJOB. 2026;26(8):133-136
Correction: Raising awareness of potential biases in medical machine learning: Experience from a Datathon.42507638 · Hochheiser, Harry, Klug, Jesse, Mathie, Thomas et al.2026 · 0 citationsPLOS digital health. 2026;5(7):e0001616
Deception in clinical large language models: an under-recognised safety risk.42392906 · Reddy, Aakash, Zhu, David T, Khan, Kinza et al.2026 · 0 citationsThe Lancet. Digital health. 2026;8(8):101043
What Utah's clinical AI sandbox reveals about independent oversight.42203975 · Gorijavolu, Rahul, Jaiswal, Nikhil, Kesselheim, Aaron S et al.2026 · 1 citationNature medicine. 2026;32(7):2330-2332
Impact of Exposure Parameters on Deep Learning Models in Chest Radiography and Implications for Deployment.42340188 · Shu, Han-Jay, Chang, Shun-Ting, Gameiro, Rodrigo Rosa et al.2026 · 1 citationRadiology. Artificial intelligence. 2026;8(4):e250731
OCR-mediated modality dominance in vision-language models: implications for radiology AI trustworthiness.42482794 · Akbasli, Izzet Turkalp, Ozturk, Baris, Serin, Oguzhan et al.2026 · 0 citationsJournal of medical imaging (Bellingham, Wash.). 2026;13(4):045501
NIH Funding for Artificial Intelligence in Surgical Specialties: Allocation and Alignment with US Disease Burden.42305075 · Gorijavolu, Rahul, Cho, Andrew, Boparai, Saurav et al.2026 · 0 citationsJournal of the American College of Surgeons. 2026;243(4):861-871
Large Language Models Provide Accurate but Potentially Unsafe Answers to Multimodal Critical Care Medicine Board Review Questions.42307255 · Sethi, Ish, Khan, Sharaf, Lyons, Patrick G et al.2026 · 1 citationCritical care medicine. 2026;54(9):2245-2255
BRIDGE: benchmarking large language models for understanding real-world clinical practice texts.42310130 · Wu, Jiageng, Gu, Bowen, Zhou, Ren et al.2026 · 5 citationsNature biomedical engineering. 2026
An evidence gap map of digital health interventions for enhancing patient engagement in healthcare.42297970 · Iqbal, Usman, Manga, Yankuba B, Nkhoma, Dumisani Enricho et al.2026 · 1 citationNPJ digital medicine. 2026;9(1)
Discriminating HFrEF vs HFpEF from chest radiographs: Mitigating demographic performance gaps via augmentation and multimodal fusion.42284341 · Shu, Han-Jay, Chen, Chao-Ju, McCoy, Liam G et al.2026 · 0 citationsPLOS digital health. 2026;5(6):e0001467
A Pilot Study Protocol for AI-Assisted Interpretation of Chest X-rays for Pulmonary Abnormalities in Uganda.42428196 · Obungoloch, Johnes, Tumusiime, Julius, Nkwanga, Jacob et al.2026 · 0 citationsCureus. 2026;18(6):e110504
Testing the Black Box: Structural Barriers to Independent Evaluation of Consumer-Facing Health LLMs2606.08483v1 · Rahul Gorijavolu, Kaushik Madapati, Pritika Vig et al.2026 · 0 citationsarXiv
Dialogues of delivery: a multilingual question-answer dataset for maternal healthcare in East African languages.42231392 · Kimera, Richard, Kuyeso, Rogers, Maleka, Emmanuel et al.2026 · 0 citationsBMC research notes. 2026;19(1)
Global gaps in how we assess undergraduate medical students' mental health: a scoping review protocol.42215260 · Michaloud, Floriane, Olié, Emilie, Deruelle, Philippe et al.2026 · 1 citationBMJ open. 2026;16(5):e120861
Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models: a scoping review.42209328 · Matos, João, Van Calster, Ben, Celi, Leo Anthony et al.2026 · 6 citationsThe Lancet. Digital health. 2026;8(7):101001
Coconstructing CHAMP, an Artificial Intelligence Chatbot for Pediatric Infectious Symptoms Management: Protocol for a Multiphase Participatory Study.42189574 · Lin, Jia, Jaiswal, Nikhil, Ma, Yuanchao et al.2026 · 0 citationsJMIR research protocols. 2026;15:e89852
Moving beyond the benchmarks: Five foundational principles for meaningful AI evaluation in healthcare.42189829 · Bielick, Catherine G, Awwad, Aya, Ellen, Jacob et al.2026 · 2 citationsPLOS digital health. 2026;5(5):e0001115
Language-Related Disparities in History Documentation in Patients Admitted for Heart Failure10.64898/2026.05.19.26353593v1 · Gottlieb, E. R., Mullan, I. D., Celi, L. A. A.2026 · 0 citationsmedRxiv
Causal Machine Learning Is Not a Panacea: A Roadmap for Observational Causal Inference in Health2605.20782v1 · Donna Tjandra, Trenton Chang, Sonali Parbhoo et al.2026 · 0 citationsarXiv
A global call to action on the digital determinants of health.42162220 · Shaw, James, Atuire, Caesar, Celi, Leo Anthony et al.2026 · 4 citationsNPJ digital medicine. 2026;9(1)
Multi-Class Neurological Disorder Prediction with Tensor Network Feature Engineering2605.17771v1 · Keshav Balakrishna, Aaryan Chityala, Vivan Kanna et al.2026 · 0 citationsarXiv
The IMPACT framework for evaluating generative AI in critical care: development and multinational consensus validation.42179657 · Yeh, Yu-Chang, Shih, Ming-Chieh, De Backer, Daniel et al.2026 · 0 citationsAnnals of intensive care. 2026;16:100078
Centennial Reflections of Academia’s ‘Publish or Perish’ Culturen7kc5_v1 · Hana Ali, Divya Kewalramani, Milit S Patel et al.2026 · 0 citationsSocArXiv
Can AI Say "I Don't Know"?42112850 · Sikora, Andrea, Celi, Leo A, Abdulnour, Raja-Elie E2026 · 13 citationsThe New England journal of medicine. 2026;394(19):1873-1875
Hubris in the age of intelligent medicine-from clinical hierarchies to algorithmic amplification.42098238 · Patel, Milit S, Scales, David, Arslan, Janan et al.2026 · 0 citationsNPJ digital medicine. 2026;9(1)
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