Amelia Campos-Saénz de Santamaría,Javier Pérez-Santana,François Croset et al.
Amelia Campos-Saénz de Santamaría et al.
This document is the result of the joint efforts of residents from various hospitals nationwide, in collaboration with senior physicians with extensive HF expertise and members of the Working Group of the Spanish Society of Internal Medicine.
Automated Classification of Cervical Spinal Stenosis using Deep Learning on CT Scans [0.03%]
基于CT扫描的深度学习自动化分类颈椎管狭窄症
Yu-Long Zhang,Jia-Wei Huang,Kai-Yu Li et al.
Yu-Long Zhang et al.
All models demonstrated >80% consistency with senior physicians and >70% consistency with junior physicians.In the binary classification task, the models achieved accuracies of 94.70%, 96.03%, 96.03%, and 94.70%, respectively.
Quality of the antibiotic advice provided by referral centres in France: a prospective audit [0.03%]
法国转诊中心提供的抗生素建议质量：一项前瞻性审计
Pierre-Marie Roger,Nicolas Lesaffre,Timothé Thiel et al.
Pierre-Marie Roger et al.
The mean score/5 [± std deviation] per clinical case was 2.7 ± 1.9, with a difference between UTI and respiratory infections: 3.5 ± 1.7 versus 3.0 ± 1.1, p = 0.043, and a higher score for senior physicians as compared to residents: 2.9 ± 1.8 versus 2.0 ± 1.9, p = 0.019.
Predicting Immunotherapy Response in Unresectable Hepatocellular Carcinoma: A Comparative Study of Large Language Models and Human Experts [0.03%]
不可切除肝细胞癌免疫治疗反应的预测：大型语言模型与人类专家的比较研究
Jun Xu,Junjie Wang,Junjun Li et al.
Jun Xu et al.
Performance metrics included accuracy, sensitivity, area under the curve (AUC), and agreement across LLMs and physicians.GPT-4o, using the 'OR rule method,' achieved 65% accuracy and 47% sensitivity, comparable to intermediate physicians but lower than senior physicians (accuracy: 72%, p = 0.045; sensitivity...Gemini-GPT, combining GPT-4, GPT-4o, and Gemini, achieved an AUC of 0.69, similar to senior physicians (AUC: 0.72, p = 0.35), with 68% accuracy, outperforming junior and intermediate physicians while remaining comparable to senior physicians (p = 0.78)....However, its sensitivity (58%) was lower than senior physicians (p = 0.0097). LLMs demonstrated higher inter-model agreement (κ = 0.59-0.70) than inter-physician agreement, especially among junior physicians (κ = 0.15).
Comparative Study
Journal of medical systems. 2025 May 15;49(1):64. DOI:10.1007/s10916-025-02192-1 2025
GPT-4's performance in supporting physician decision-making in nephrology multiple-choice questions [0.03%]
GPT-4在肾病多项选择题中支持医生决策的表现
Ryunosuke Noda,Kenichiro Tanabe,Daisuke Ichikawa et al.
Ryunosuke Noda et al.
Eight junior physicians without board certification and ten senior physicians with board certification answered these questions twice: first unaided, then with the opportunity to revise their answers based on GPT-4's outputs. GPT-4 correctly answered 77.8% of the questions....Before using GPT-4, junior physicians had a median (interquartile range) proportion of correct answers of 53.3% (48.3-53.3), senior physicians 65.6% (60.6-66.7).
[Utilization of apneic oxygenation in anesthesiology: a nationwide survey in Germany] [0.03%]
德国麻醉学中应用窒息吸氧的地区差异性——全国调查研究报告
Davut Deniz Uzun,Felix Hezel,Stefan Mohr et al.
Davut Deniz Uzun et al.
In terms of professional roles, there was an even split between senior physicians (34%) and residents (34%), followed by consultants (25%) or heads of departments (8%).
Study on Ultrasound-Assisted Diagnosis of CHB Complicated with NAFLD Hepatic Fibrosis Based on Deep Learning [0.03%]
基于深度学习的超声辅助诊断CHB合并NAFLD肝纤维化的研究
Xiuling Huang,Shan Huang,Changfeng Dong et al.
Xiuling Huang et al.
The sensitivity, specificity, and accuracy for independent diagnoses made by primary, intermediate, and senior physicians were 24.3%, 29.1%, and 33.8% for sensitivity; 100% for specificity; and 25.3%, 30.0%, and 34.7% for accuracy, respectively....The area under the receiver operating characteristic curve (AUC) for AI-independent diagnosis (0.845) was significantly higher than that for primary, intermediate, and senior physicians (0.622, 0.645, and 0.669, respectively; P
Lindsey E Carlasare,Samuel Lin,Purva Shah et al.
Lindsey E Carlasare et al.
Purpose: This study aimed to examine prevalence of loneliness among senior physicians and identify associations between high loneliness and other personal and social factors. Methods: This cross-sectional survey of physicians aged ≥65 was conducted between February 26 and March 12, 2024....Conclusions: Nearly 1 in 5 senior physicians experience loneliness, and high loneliness is associated with personal and social factors.
MRI metastatic lymph nodes detection in rectal cancer staging: retrospective analysis of intra- and inter-observer variability in an academic health centre [0.03%]
MRI在直肠癌分期中检测转移淋巴结的组内和组间变异性研究
R Vinci,L P Stoppino,S Piscone et al.
R Vinci et al.
Reproducibility between the two senior physicians had a kappa of 0.68 (CI 0.62-1.00), while between the two junior physicians had a kappa of 0.61 (CI 0.33-0.89). The intra-observer reproducibility progressively decreased between observers with different experience.
Observational Study
La Clinica terapeutica. 2025 Mar-Apr;176(2):219-224. DOI:10.7417/CT.2025.5209 2025
Development and validation of a novel echocardiography-based nomogram for the streamlined classification of cardiac tumors in cancer patients [0.03%]
新型基于超声心动图的癌症患者心脏肿瘤分类提效列线图的发展与验证
Yuwei Bao,Chenyang Lu,Qun Yang et al.
Yuwei Bao et al.
A composite nomogram was developed, and its predictive accuracy was benchmarked against that of junior and senior physicians using receiver operating characteristic (ROC) curves and decision curve analysis (DCA).
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