The ethical compass: establishing ethical guidelines for research practices in sports medicine and exercise science

N Guelmami, L Ben Ezzeddine, G Hatem… - International Journal of …, 2024 - zora.uzh.ch
Objective: Research in sports medicine and exercise science has experienced significant
growth over recent years. With this expansion, there has been a concomitant rise in ethical …

Large language model influence on diagnostic reasoning: a randomized clinical trial

E Goh, R Gallo, J Hom, E Strong, Y Weng… - JAMA Network …, 2024 - jamanetwork.com
Importance Large language models (LLMs) have shown promise in their performance on
both multiple-choice and open-ended medical reasoning examinations, but it remains …

Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine

T Savage, A Nayak, R Gallo, E Rangan… - NPJ Digital Medicine, 2024 - nature.com
One of the major barriers to using large language models (LLMs) in medicine is the
perception they use uninterpretable methods to make clinical decisions that are inherently …

Evaluation of the performance of GPT-3.5 and GPT-4 on the Polish Medical Final Examination

M Rosoł, JS Gąsior, J Łaba, K Korzeniewski… - Scientific Reports, 2023 - nature.com
The study aimed to evaluate the performance of two Large Language Models (LLMs):
ChatGPT (based on GPT-3.5) and GPT-4 with two temperature parameter values, on the …

Clinical reasoning of a generative artificial intelligence model compared with physicians

S Cabral, D Restrepo, Z Kanjee, P Wilson… - JAMA Internal …, 2024 - jamanetwork.com
Methods| We recruited internal medicine residents and attending physicians at 2 academic
medical centers in Boston, Massachusetts, from July to August 2023. We used 20 clinical …

An evaluation framework for clinical use of large language models in patient interaction tasks

S Johri, J Jeong, BA Tran, DI Schlessinger… - Nature Medicine, 2025 - nature.com
The integration of large language models (LLMs) into clinical diagnostics has the potential to
transform doctor–patient interactions. However, the readiness of these models for real-world …

GenePT: a simple but effective foundation model for genes and cells built from ChatGPT

Y Chen, J Zou - bioRxiv, 2024 - pmc.ncbi.nlm.nih.gov
There has been significant recent progress in leveraging large-scale gene expression data
to develop foundation models for single-cell biology. Models such as Geneformer and …

Health disinformation use case highlighting the urgent need for artificial intelligence vigilance: weapons of mass disinformation

BD Menz, ND Modi, MJ Sorich… - JAMA internal …, 2024 - jamanetwork.com
Importance Although artificial intelligence (AI) offers many promises across modern
medicine, it may carry a significant risk for the mass generation of targeted health …

[HTML][HTML] Advancing the democratization of generative artificial intelligence in healthcare: a narrative review

A Chen, L Liu, T Zhu - Journal of Hospital Management and …, 2024 - jhmhp.amegroups.org
Methods: We conducted a deep literature search for GenAI studies using Google Scholar,
PubMed, ChatGPT, Journal of the American Medical Association (JAMA), Nature, Springer …

Simple and effective embedding model for single-cell biology built from ChatGPT

Y Chen, J Zou - Nature Biomedical Engineering, 2024 - nature.com
Large-scale gene-expression data are being leveraged to pretrain models that implicitly
learn gene and cellular functions. However, such models require extensive data curation …