Biomedical Research Investigating Artificial Intelligence Large Language Models Needs to Move Beyond Measuring Accuracy and Focus on Improving Patient Care.
生物醫學研究探討人工智慧大型語言模型需要超越準確性測量,專注於改善病患照護。
Arthroscopy 2024-10-20
Current Concepts Review: Large Language Models in Orthopaedics: Definitions, Uses, and Limitations.
骨科中的大型語言模型:定義、用途和限制的現行概念回顧。
J Bone Joint Surg Am 2024-06-19
Studies Evaluating Artificial Intelligence (AI) Large Language Models Ability to Respond to Questions Are Repetitive and Out-of-Date: AI Must Now Be Applied to Improving Clinical Practice and Patient Care.
評估人工智慧 (AI) 大型語言模型回答問題能力的研究重複且過時:AI 現在必須應用於改善臨床實踐和病人護理。
Arthroscopy 2024-10-26
Quantifying the Scope of Artificial Intelligence-Assisted Writing in Orthopaedic Medical Literature: An Analysis of Prevalence and Validation of AI-Detection Software.
量化人工智慧輔助寫作在骨科醫學文獻中的範圍:AI 偵測軟體的普及性與驗證分析。
J Am Acad Orthop Surg 2024-11-27
Large Language Models Applied to Healthcare Tasks May Improve Clinical Efficiency, Value of Care Rendered, Research, and Medical Education.
大型語言模型應用於醫療任務可能改善臨床效率、提供的護理價值、研究及醫學教育。
Arthroscopy 2024-12-18
Artificial Intelligence and Language Learning Models Can Be Improved By Curated Input of Medical Training Data But Still Face The Limitations of Available Literature And Require Continued Human Oversight.
人工智慧與語言學習模型可以透過精心策劃的醫學訓練數據來改善,但仍面臨可用文獻的限制,並需要持續的人類監督。
Arthroscopy 2025-03-29