People who share encounters with racism are silenced online by humans and machines, but a guideline-reframing intervention holds promise.
遭遇種族主義的人在網上受到人類和機器的沉默，但指導方針重塑干預措施顯示出希望。
Proc Natl Acad Sci U S A 2024-09-09
Towards Dataset-scale and Feature-oriented Evaluation of Text Summarization in Large Language Model Prompts.
大型語言模型提示中文本摘要的數據集規模和特徵導向評估。
IEEE Trans Vis Comput Graph 2024-09-09
Quality and Accountability of ChatGPT in Health Care in Low- and Middle-Income Countries: Simulated Patient Study.
低收入和中等收入國家中 ChatGPT 在醫療保健中的質量與問責性：模擬病人研究。
J Med Internet Res 2024-09-09
The Large Language Model GPT-4 Compared to Endocrinologist Responses on Initial Choice of Antidiabetic Medication under Conditions of Clinical Uncertainty.
在臨床不確定情況下，GPT-4 大型語言模型與內分泌科醫生對初始抗糖尿病藥物選擇的回應比較。
Diabetes Care 2024-09-09
Evaluating text and visual diagnostic capabilities of large language models on questions related to the Breast Imaging Reporting and Data System Atlas 5<sup>th</sup> edition.
評估大型語言模型在與乳腺影像報告與數據系統 Atlas 第五版相關問題的文本和視覺診斷能力。
Diagn Interv Radiol 2024-09-09
Advances in critical care nephrology through artificial intelligence.
透過人工智慧在重症護理腎臟學的進展。
Curr Opin Crit Care 2024-09-09
這篇評論探討了人工智慧（AI）在重症護理腎臟科的進展與應用。AI 演算法能提升早期檢測、風險預測及個性化治療，特別是在急性腎損傷（AKI）管理上。機器學習模型可在血清肌酸酐變化前預測 AKI，而大型語言模型則能自動生成臨床筆記和患者教育材料。儘管如此，為了發揮 AI 的潛力，仍需解決數據質量和倫理等挑戰。成功整合 AI 需要腎臟科醫生、重症醫師與 AI 專家的合作與持續教育。
相關文章PubMedDOI
Explainable depression symptom detection in social media.
社交媒體中可解釋的憂鬱症狀檢測。
Health Inf Sci Syst 2024-09-09
Potential of ChatGPT to Pass the Japanese Medical and Healthcare Professional National Licenses: A Literature Review.
ChatGPT 通過日本醫療與健康專業國家執照的潛力：文獻回顧。
Cureus 2024-09-09