人気の記事一覧
光技術の医療応用を加速するには？ 医・工・産が共に考えるシンポジウムを初開催
Addressing cognitive bias in medical language models
Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice
現代の三大バカ話：①AIシンギュラリティ②生成AI・chatGPT③人類の地球脱出
「手術中に神経を見分ける装置で、QOL低下を防ぐ」～大阪大学工学研究科助教、熊本康昭さん
連合学習（Federated learning）の医療応用について
M3H: Multimodal Multitask Machine Learning for Healthcare
The medicine of the past, present, and future generations: From Sir William Osler to ChatGPT
The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes
Distilling Large Language Models for Matching Patients to Clinical Trials
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study
Generative AI could revolutionize health care — but not if control is ceded to big tech
A Survey of Large Language Models in Medicine: Progress, Application, and Challenge
Towards rapid augmented phenotyping using large language models
