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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 …
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
Importance Large language models (LLMs) have shown promise in their performance on
both multiple-choice and open-ended medical reasoning examinations, but it remains …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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
Importance Although artificial intelligence (AI) offers many promises across modern
medicine, it may carry a significant risk for the mass generation of targeted health …
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 …
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 …
learn gene and cellular functions. However, such models require extensive data curation …