Clinical Reasoning of a Generative Artificial Intelligence Model Compared With Physicians

被引：27

作者：

Cabral, Stephanie ^{[1
]}

Restrepo, Daniel ^{[2
]}

Kanjee, Zahir ^{[1
]}

Wilson, Philip ^{[1
]}

Crowe, Byron ^{[1
]}

Abdulnour, Raja-Elie ^{[3
]}

Rodman, Adam ^{[1
,4
]}

机构：

[1] Beth Israel Deaconess Med Ctr, Dept Med, Boston, MA USA

[2] Massachusetts Gen Hosp, Dept Med, Boston, MA USA

[3] Brigham & Womens Hosp, Dept Pulm & Crit Care, Boston, MA USA

[4] Beth Israel Deaconess Med Ctr, Dept Med, W SPAN 2, 330 Brookline Ave, Boston, MA 02215 USA

来源：

JAMA INTERNAL MEDICINE | 2024年 / 184卷 / 05期

基金：

美国国家卫生研究院;

关键词：

CHRONIC KIDNEY-DISEASE; BLOOD-PRESSURE CONTROL; PRIMARY-CARE; DECISION-SUPPORT; BEHAVIORAL INTERVENTIONS; DEFAULT OPTIONS; MANAGEMENT; CKD;

D O I：

10.1001/jamainternmed.2024.0295

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

This cross-sectional study assesses the ability of a large language model to process medical data and display clinical reasoning compared with the ability of attending physicians and residents.

引用

页码：581 / 583

页数：3

共 6 条

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