ChatGPT for obesity management: a review of evidence, potential challenges, and clinical implications [0.03%]
Mohamad Motevalli,Brunna Boaventura,Fatima Cody Stanford
Mohamad Motevalli
The global rise in the prevalence of obesity highlights the need for accessible and effective solutions for obesity management. ChatGPT, one of the fastest-growing artificial intelligence (AI) tools, is gaining attention for its potential t...
The Lancet Digital Health
The Lancet Digital Health
Should AI have a seat in the selection committee for liver transplantation? [0.03%]
人工智能应该有资格加入肝移植选择委员会吗？
Alberto Ferrarese,Patrizia Burra
Alberto Ferrarese
A multiagent large language model-based system to simulate the liver transplant selection committee: a retrospective cohort study [0.03%]
基于多代理大型语言模型的肝移植选择委员会模拟系统：回顾性队列研究
Bima J Hasjim,Ghazal Azarfar,Frank G Lee et al.
Bima J Hasjim et al.
Background: Transplantation is one of the few areas in medicine in which the definitive treatment is rationed. Subjective decision making poses challenges for the transplantation selection process. Large language models (...
Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective, multicentric, diagnostic study [0.03%]
基于智能手机的手术切除图像的深学习模型在临床IA期肺腺癌病理侵袭性预测中的应用（SuRImage）：前瞻性多中心诊断研究
Lintong Yao,Linghan Cai,Maotao Weng et al.
Lintong Yao et al.
Background: In clinical stage IA lung adenocarcinoma (LUAD), rapid and accurate intraoperative diagnosis is crucial to decide whether to perform segmentectomy and lobectomy. Frozen section analysis is time consuming and n...
Artificial intelligence for post-treatment prediction in age-related macular degeneration [0.03%]
人工智能在年龄相关性黄斑变性的治疗效果预测中的应用
Chia-Ying Tsai,Tso-Ting Lai
Chia-Ying Tsai
Effects of the COVID-19 pandemic on antibiotic use and resistance in French hospitals, 2019-22: a retrospective ecological analysis of national surveillance data [0.03%]
法国医院2019~2022年的新冠肺炎疫情对抗生素使用和耐药性的影响：全国监测数据的回顾性生态学分析
Maylis Layan,David R M Smith,Solen Kernéis et al.
Maylis Layan et al.
Background: The COVID-19 pandemic led to major disruptions in health-care services at the hospital and community levels, with uncertain consequences on antibiotic resistance in hospitals. Here, we quantify changes of anti...
Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study [0.03%]
抗血管内皮生长因子治疗湿性年龄相关性黄斑变性的疗效预测深度学习模型的构建和验证：前瞻性、多中心全国队列研究（孔明研究）
Xinyu Zhao,Yang Wen,Zuyi Yang et al.
Xinyu Zhao et al.
Background: The financial burden and the uncertain response of the anti-vascular endothelial growth factor (anti-VEGF) treatment often cause hesitation among patients with neovascular age-related macular degeneration (nAM...
Interpreting the GRACE 3.0 ITE model: from predictive performance to clinical decision utility [0.03%]
GRACE 3.0预测模型解读：从风险预测到临床决策能力评估
Florian A Wenzl,Lars V Køber,Stefan James et al.
Florian A Wenzl et al.