2024-12
CASE STUDIES 案例研究Cognitive Biases and Artificial IntelligenceJ. Wang and D.A. RedelmeierAbstractGenerative artificial intelligence (AI) models are increasingly utilized for medical applications. We tested whether such models are prone to human-like cognitive biases when offering medical recommendations. We explored the performance of OpenAI generative pretrained transformer (GPT)-4 and Goog...
2024-12
CASE STUDIES 案例研究Rubrics to Prompts: Assessing Medical Student Post-Encounter Notes with AIA.R. Jamieson and OthersAbstractThis case study, conducted at UT Southwestern Medical Center’s Simulation Center, describes the first successful prospective deployment of a generative artificial intelligence (AI)–based automated grading system for medical student post-encounter Objective Structured ...
2024-12
CASE STUDIES 案例研究National Use of Artificial Intelligence for Eye Screening in SingaporeD.V. Gunasekeran and OthersAbstractDiabetes is a major health care challenge, affecting 10% of the global population. One third of patients with diabetes have an ocular complication known as diabetic retinopathy (DR). DR progression to manifestations such as vision-threatening diabetic retinopathy (VTDR) ...
2024-12
ORIGINAL ARTICLES原创文章FDA-Authorized AI/ML Tool for Sepsis Prediction: Development and ValidationA. Bhargava and OthersAbstractBACKGROUNDSepsis is a life-threatening condition that demands prompt treatment for improved patient outcomes. Its heterogenous presentation makes early detection challenging, highlighting the need for effective risk assessment tools. Artificial intelligence (AI) mode...
2024-12
ORIGINAL ARTICLES原创文章Does AI-Powered Clinical Documentation Enhance Clinician Efficiency? A Longitudinal StudyT.-L. Liu and OthersAbstractBACKGROUNDNuance’s Dragon Ambient eXperience (DAX) Copilot is an artificial intelligence (AI)–driven ambient clinical documentation software platform. Atrium Health, a large multisite academic learning health system, was the first to use DAX Copilot. Th...
2024-12
ORIGINAL ARTICLES原创文章Development and Validation of a Multimodal Multitask Vision Foundation Model for Generalist Ophthalmic Artificial IntelligenceJ. Qiu and OthersAbstractBACKGROUNDSpecialized single-use, single-modality models often have limited or no generalization to new diseases, modalities, and clinical tasks. Foundation models are built for multipurpose use, enabling them to perform ...
2024-12
PERSPECTIVES观点AI Grand Rounds: Reclaiming Voice with AIF.N. Mirza and OthersAbstractVoice impairments affect millions of Americans, with personalized text-to-speech technology offering limited solutions due to the need for extensive voice banking. Here, we report the case of Alexis Bogan, a 20-year-old patient who acutely lost her voice after surgery to resect her brain stem hemangioblastoma....
2024-12
PERSPECTIVES观点Artificial Intelligence–Based Copilots to Generate Causal EvidenceM. Petersen and OthersAbstractWhile there is growing consensus that real-world data should play a larger role in generating causal evidence for health care, it is less clear whether and how AI can help. Current approaches to AI-driven analysis of health data are ill-equipped to account for the many threats to cau...
2024-12
PERSPECTIVES观点Mary Steps Out: Capturing Patient Experience through Qualitative and AI MethodsV. Renard and OthersAbstractFrank Jackson’s 1982 thought experiment, “Mary’s Room,” illustrates the philosophical divide between propositional and experiential knowledge. We present a compelling case for the incorporation of lived experience into biomedical research and advocate the integration of...
2024-12
EDITORIALS社论A New Foundation Model for Multimodal Ophthalmic Images: Advancing Disease Detection and PredictionM.A. Chia, Y. Zhou, and P.A. KeaneAbstractFoundation models are a powerful tool in ophthalmology for building generalizable systems that can be efficiently applied to a range of ocular and systemic health tasks. A new foundation model for ophthalmic images demonstrates important prog...
官方微博
官方微信
