Results 211 to 220 of about 63,129 (302)

CellOntologyMapper: Consensus mapping of cell type annotation

iMetaOmics, EarlyView.
CellOntologyMapper automates the standardization of cell type annotations in single‐cell RNA‐seq by mapping user‐defined names to the Cell Ontology (CL) and Cell Taxonomy (CT). The framework constructs a comprehensive embedding database of 19,381 curated cell types using sentence transformers, large language models, and synonym expansion.
Zehua Zeng, Xuehai Wang, Hongwu Du, Cencan Xing   +3 more
wiley   +1 more source

The Role of Large Language Models (LLMs) in Providing Triage for Maxillofacial Trauma Cases: A Preliminary Study. [PDF]

Diagnostics (Basel)
Frosolini A, Catarzi L, Benedetti S, Latini L, Chisci G, Franz L, Gennaro P, Gabriele G.   +7 more
europepmc   +1 more source

A Pilot Study on the Accuracy of Large Language Models (ChatGPT, Google Bard, and Microsoft Copilot) for Selecting the Correct Modality for Musculoskeletal Clinical Cases According to the ACR's Appropriateness Criteria

iRADIOLOGY, EarlyView.
In this paper we demonstrate that AI models can determine the most appropriate imagining modality for a given musculoskeletal clinical scenario in up to 89% of cases, with some models outperforming others. ABSTRACT Background Large language models (LLMs) are becoming more commonly used in many aspects of radiology.
Thomas Saliba, Patrick Omoumi, Grammatina Boitsios   +2 more
wiley   +1 more source

Enhancing Dental Students' History‐taking Skills with a Generative Artificial Intelligence Chatbot

Journal of Dental Education, EarlyView.
ABSTRACT Purpose Accurate history‐taking is crucial for diagnosis and treatment planning in dentistry yet there is insufficient time in pre‐clinical years to practice this essential skill. This study evaluated dental student motivations and enjoyment using a generative artificial intelligence (AI) chatbot to practice these skills.
Aidan Or, Smitha Sukumar, Andrew Ma, Derick Ang, Max Liu, Helen E. Ritchie, Babak Sarrafpour   +6 more
wiley   +1 more source

Assessing the performance of large language models (LLMs) in answering medical questions regarding breast cancer in the Chinese context. [PDF]

Digit Health
Piao Y, Chen H, Wu S, Li X, Li Z, Yang D.   +5 more
europepmc   +1 more source

Enhanced semantic classification of microbiome sample origins using Large Language Models (LLMs)

Gaio D, Tackmann J, Perez-Molphe-Montoya E, Näpflin N, Patsch D, Malfertheiner L, von Mering C.   +6 more
europepmc   +1 more source

The Ethical Boundaries of Chairside Generative Artificial Intelligence in Dental Education

Journal of Dental Education, EarlyView.
ABSTRACT In dental school clinics, students are increasingly using Generative Artificial Intelligence (GenAI) tools like ChatGPT during patient care. This chairside, or point of care, use raises ethical concerns, particularly around supervision, patient safety, and training quality. This paper argues that GenAI can be ethically used in dental education
Sonal Anand, Ram Vaderhobli
wiley   +1 more source

Can Large Language Models (LLMs) Predict the Appropriate Treatment of Acute Hip Fractures in Older Adults? Comparing Appropriate Use Criteria With Recommendations From ChatGPT. [PDF]

J Am Acad Orthop Surg Glob Res Rev
Nietsch KS, Shrestha N, Mazudie Ndjonko LC, Ahmed W, Mejia MR, Zaidat B, Ren R, Duey AH, Li SQ, Kim JS, Hidden KA, Cho SK.   +11 more
europepmc   +1 more source

Incidence, contributing factors, and predictors of diagnostic errors in medical inpatients: A retrospective cohort study

Journal of Hospital Medicine, EarlyView.
Abstract Background Diagnostic error is a major patient safety concern in hospitals, yet most studies have focused on selected high‐risk subgroups, leaving the broader general internal medicine inpatient population understudied. Objectives To determine the incidence, contributing factors, resulting harm, and predictors of diagnostic error in medical ...
Caterina E. Marx, Elena Hofmann, Martin Perrig, Gurpreet Dhaliwal, Wolf Hautz, Jörg P. Isenegger, Ernst Lipp, Drahomir Aujesky, Manuel R. Blum, Tobias Tritschler   +9 more
wiley   +1 more source

Evaluating capabilities of large language models: Performance of GPT-4 on surgical knowledge assessments. [PDF]

Surgery
Beaulieu-Jones BR, Berrigan MT, Shah S, Marwaha JS, Lai SL, Brat GA.   +5 more
europepmc   +1 more source