The Lancet Digital Health
The Lancet Digital Health
Digital health interventions for mental health disorders: an umbrella review of meta-analyses of randomised controlled trials [0.03%]
数字健康干预措施在精神疾病防治中的应用：随机对照试验的综合/meta分析的伞式审查
Cristina Crocamo,Dario Palpella,Daniele Cavaleri et al.
Cristina Crocamo et al.
Digital health interventions (DHIs) show promise for the treatment of mental health disorders. However, existing meta-analytical research is methodologically heterogeneous, with studies including a mix of clinical, non-clinical, and transdi...
Development of machine learning prediction models for systemic inflammatory response following controlled exposure to a live attenuated influenza vaccine in healthy adults using multimodal wearable biosensors in Canada: a single-centre, prospective controlled trial [0.03%]
基于多模式可穿戴式生物传感器的机器学习预测模型在加拿大单中心前瞻性试验中对健康成人使用减毒流感活疫苗控制暴露后全身性炎性反应的发展研究
Amir Hadid,Emily G McDonald,Qianggang Ding et al.
Amir Hadid et al.
Background: Presymptomatic or asymptomatic immune system signals and subclinical physiological changes might provide a more objective measure of early viral upper respiratory tract infections (VRTIs) compared with symptom...
Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study [0.03%]
内窥镜影像下人工智能辅助检测鼻咽癌：全国多中心模型开发与验证研究
Yuxuan Shi,Zhen Li,Li Wang et al.
Yuxuan Shi et al.
Background: Nasopharyngeal carcinoma is highly curable when diagnosed early. However, the nasopharynx's obscure anatomical position and the similarity of local imaging manifestations with those of other nasopharyngeal dis...
Video in the clinic: advancing care for patients, professionals, and the planet [0.03%]
视频进入诊所：推进患者、专业人士和地球的福祉
Lars Henrik Jensen
Lars Henrik Jensen
Online video versus face-to-face preoperative consultation for major abdominal surgery (VIDEOGO): a multicentre, open-label, randomised, controlled, non-inferiority trial [0.03%]
重大腹部手术的术前在线视频咨询与面对面咨询比较（VIDEOGO试验）：多中心、开放性、随机对照非劣效性试验
Britte H E A Ten Haaft,Boris V Janssen,Esther Z Barsom et al.
Britte H E A Ten Haaft et al.
Background: Online video consultation between patients and health-care providers rapidly gained popularity during the COVID-19 pandemic. However, to our knowledge, there is no high-quality comparative evidence regarding p...
Medical digital twins: enabling precision medicine and medical artificial intelligence [0.03%]
医疗数字孪生：助力精准医学与医疗人工智能
Christoph Sadée,Stefano Testa,Thomas Barba et al.
Christoph Sadée et al.
The notion of medical digital twins is gaining popularity both within the scientific community and among the general public; however, much of the recent enthusiasm has occurred in the absence of a consensus on their fundamental make-up. Dig...
The Lancet Digital Health
The Lancet Digital Health
External validation of a digital pathology-based multimodal artificial intelligence-derived prognostic model in patients with advanced prostate cancer starting long-term androgen deprivation therapy: a post-hoc ancillary biomarker study of four phase 3 randomised controlled trials of the STAMPEDE platform protocol [0.03%]
基于数字病理的多模态人工智能衍生预后模型在外科去势治疗前列腺癌患者中的外部验证：来自STAMPEDE平台协议四项三期随机对照试验的事后生物标志物研究
Charles T A Parker,Larissa Mendes,Vinnie Y T Liu et al.
Charles T A Parker et al.
Background: Effective prognostication improves selection of patients with prostate cancer for treatment combinations. We aimed to evaluate whether a previously developed multimodal artificial intelligence (MMAI) algorithm...
Importance of sample size on the quality and utility of AI-based prediction models for healthcare [0.03%]
样本量对基于人工智能的医疗保健预测模型的质量和实用性的影响的重要性
Richard D Riley,Joie Ensor,Kym I E Snell et al.
Richard D Riley et al.
Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the determination of appropriate sample sizes for...