Evaluating ChatGPT's Adherence to Medical Ethics: A Prerequisite for Artificial Intelligence in Medicine [0.03%]
评估ChatGPT的医学伦理遵守情况：医学领域人工智能的先决条件
Ying Zhang,Yuyang Liu,Tingyu Lv et al.
Ying Zhang et al.
Background: As artificial intelligence continues to play an expanding role in healthcare, ensuring its compliance with medical ethics is essential. However, the ethical performance of artificial intelligence in medical co...
Association of Skeletal Muscle, Body Fat and Frailty With Prolonged Length of Hospital Stay Following Colectomy for Adenocarcinoma: A Pilot Case-Control Study [0.03%]
肌少症、体脂和衰弱与结肠癌手术后住院时间延长的关联：一项病例对照研究
Annmarie Butare,Justin Drake,Michael D Honaker
Annmarie Butare
Physical fitness is well-known to be associated with health outcomes. This pilot study examined the impact of different measures of fitness on length of stay following colectomy. A case-control study was designed to evaluate the effect of s...
Ischemic Stroke Burden in China and Other G20 Nations (1990-2021): A Comparative Analysis From the Global Burden of Disease Study 2021 and Trend Projections Through 2031 [0.03%]
中国及其他G20国家（1990-2021年）的缺血性卒中疾病负担：全球疾病负担研究2021年的比较分析及未来趋势预测至2031年
Bin Luo,Yi Xiang,Hecheng Ren et al.
Bin Luo et al.
Background: Ischemic stroke (IS) persists as a major global health challenge. This study assesses IS burden, epidemiological trends, and associations with the Socio-demographic Index (SDI) across China and G20 nations (19...
Health Influence and Association Analysis of Inpatient Service Under-Utilization in Older Adults With Multimorbidities: A National Study in China [0.03%]
中国多病共存的老年人住院服务利用率低下对其健康的影响及关联分析：一项全国性研究
Yunlian Xue,Zhuomin Huang,Jinqi Ye et al.
Yunlian Xue et al.
Background: In the Chinese aging population characterized by rising chronic comorbidities, this study investigated under-utilization of inpatient services (hospitalization) among elderly individuals with multimorbidities,...
Fight for the People's Health: The Application of Al Multiagent Systems in Medical Consortia [0.03%]
以人民的健康为中心：医疗联盟中AL多智能体系统之应用
Zihao Bian,Zhiyi Luo,Wenhui Zhang et al.
Zihao Bian et al.
Background: The nationwide implementation of medical consortia at both district and county levels has reshaped China's healthcare system profoundly by establishing collaborative institutional networks and tiered service d...
A Chinese Expert Consensus on the Artificial Intelligence Proficiency of Medical Students: Competencies and the Multi-Modal Assessment [0.03%]
中国医学生人工智能胜任力专家共识：胜任力模型与多维度评估体系
Mengchun Gong,Jiao Li,Yonghui Ma et al.
Mengchun Gong et al.
Background: Artificial intelligence (AI) is transforming healthcare, demanding reevaluation of medical education. China's "New Medical Education" initiative urgently requires a standardized AI literacy framework for medic...
A Deep Neural Network Based on Two-Stage Training for Estimating Heart Rate Variability From Camera Videos [0.03%]
一种基于两阶段训练的深度神经网络：从摄像机视频中估算心率变异性
Lan Lan,Jin Yin,Haohan Zhang et al.
Lan Lan et al.
Background: Studies have shown that heart rate variability (HRV) is a predictor of the prognosis of cardiovascular diseases. Contact heartbeat monitoring equipment is widely used, especially in hospitals, and benefits fro...
Preferences of Chinese Dermatologists for Large Language Model Responses in Clinical Psoriasis Scenarios: A Nationwide Cross-Sectional Survey in China [0.03%]
中国皮肤科医生在临床银屑病场景中对大型语言模型回复偏好的全国性横断面调查研究
Jungang Yang,Jingkai Xu,Xuejiao Song et al.
Jungang Yang et al.
Background: Large language models (LLMs) have shown considerable promise in supporting clinical decision-making. However, their adoption and evaluation in dermatology remains limited. This study aimed to explore the prefe...
A Survey on Medical Competence Evaluation Benchmarks for Large Language Models [0.03%]
大型语言模型医学能力评估基准综述
Qiting Wang,Huiru Zou,Haobin Zhang et al.
Qiting Wang et al.
Large language models (LLMs) show considerable potential to revolutionize healthcare through their performance across diverse clinical applications. Given the inherent constraints of LLMs and the critical nature of medical practice, a rigor...
Assessing Large Language Models for Early Article Identification in Otolaryngology-Head and Neck Surgery Systematic Reviews [0.03%]
用于耳鼻喉-头颈外科系统回顾的早期论文识别的大规模语言模型评估
Ajibola B Bakare,Young Lee,Jhuree Hong et al.
Ajibola B Bakare et al.
Background: Assess ChatGPT and Bard's effectiveness in the initial identification of articles for Otolaryngology-Head and Neck Surgery systematic literature reviews. ...