EP31 | AI醫療：哈佛、史丹佛、微軟最新研究，o1-preview 診斷正確率近80%，遠勝人類醫師

from 數創實驗室 - AI時代的學習指南 · host Vincent在數創

#### 論文連結 Superhuman performance of a large language model on the reasoning tasks of a physician #### 本期簡介 AI 在醫療領域依然進展快速。哈佛、史丹佛、微軟聯合研究指出，OpenAI 的 o1-preview 模型在臨床診斷上表現驚人，準確率達 78.3%，人類醫師僅 33%。透過新英格蘭醫學期刊的黃金病例 (CPCs) 與虛擬教學平台測試 (Healer)，AI 均展現超越常識的推理能力，未來或將顛覆傳統醫療框架，請別錯過此集。 #### 關於主持人 Vincent Chen (www.linkedin.com/in/hsiang-hao-chen-53443593) 數創智能 / 數創實驗室創始人, Podcast播客主理人美國財星500強電商大廠 | 數據團隊主管台灣零售行業上市公司 | 資料技術處處長 AI & 大數據跨國經驗10年+ | 跨國反欺詐 | 智能行銷 & 推薦系統英國全球百大 Data Science & 台灣交大MBA雙碩士 #### 意見回饋歡迎回饋您希望收聽的AI主題 : https://bit.ly/40Q8PT6 #### 相關連結 LINE社群入群連結 : https://bit.ly/3TU9K0I 數創實驗室官網 : https://datainnolab.ai 聯繫數創實驗室 : [email protected]

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EP31 | AI醫療：哈佛、史丹佛、微軟最新研究，o1-preview 診斷正確率近80%，遠勝人類醫師

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