Joy Xu,Justin M Ko,Joseph C Kvedar
Joy Xu
The rapid emergence of autonomous AI systems (agentic AI) marks a pivotal inflection point in digital medicine. This perspective synthesizes evidence across diagnostics, management, and care-adjacent operations to identify opportunities for...
Impact of an AI algorithm for multi-day prediction of incident atrial fibrillation on clinical decision-making: PROVISION-AF study [0.03%]
一种用于多天预测房颤发作的AI算法对临床决策影响的研究：PROVISION-AF研究
Yeji Kim,Bogeun Kim,Jaeung Yoon et al.
Yeji Kim et al.
Atrial fibrillation (AF) is frequently asymptomatic and often remains undetected until complications arise. Although artificial intelligence (AI)-enabled electrocardiography (ECG) can predict incident AF from sinus rhythm ECGs, its influenc...
Portable RF brain scanner enables stroke type detection using deep learning [0.03%]
便携式射频脑扫描仪使用深度学习检测中风类型
Nouna Khandan,Zili Xu,Mojtaba Khosravi Farsani et al.
Nouna Khandan et al.
Stroke remains a leading cause of mortality worldwide, demanding rapid, accurate diagnosis; distinguishing stroke types matters because treatments differ significantly. Using a recently developed, non-invasive brain scanner integrating a 16...
Deep learning-based CD8+ T cell model for predicting prognosis and targeted immunotherapy benefit in ccRCC [0.03%]
基于深度学习的CD8+t细胞模型预测透明细胞肾细胞癌预后和靶向免疫治疗获益
Siteng Chen,Ning Zhang,Liren Jiang et al.
Siteng Chen et al.
Deep learning holds significant promise for improving clear cell renal cell carcinoma (ccRCC) diagnosis and treatment. However, studies concerning tumor microenvironment (TME) based on pathological images and artificial intelligence are ver...
Humanoid robots in the operating room: a framework for staged integration of embodied AI in surgery [0.03%]
外科手术中的仿人机器人：嵌入式AI分阶段整合的框架
Julius M Kernbach,Gabriel Brat,Eric J Topol et al.
Julius M Kernbach et al.
The next leap in surgical innovation may not come from refining precision but from embodied AI transforming the operating room (OR) itself. We contend that intelligent humanoid agents, owing to their anthropomorphic design, may enter the OR...
A clinician aligned vision language framework for stepwise interpretation in fundus fluorescein angiography [0.03%]
一种针对眼底荧光素血管造影分步解读的临床对齐视觉语言框架
Zichang Su,Xiaocong Liu,Bingtao Guan et al.
Zichang Su et al.
Fluorescein fundus angiography (FFA) is essential for diagnosing retinal vascular diseases, yet its interpretation is expertise-intensive. Here, we present Clin-FFA-VLM, a multimodal vision-language framework that mirrors retina specialists...
Advancing genomics and integration of multi-omics for precision oncology using quantum machine learning [0.03%]
利用量子机器学习推进基因组学和多组学在精准肿瘤学中的融合
Ji-Yong Sung,Jae-Ho Cheong
Ji-Yong Sung
Cancer multi-omics faces challenges in handling the scale, complexity, and heterogeneity of multi-omics data, limiting progress in variant interpretation, tumor classification, and modeling cancer evolution. Quantum computing offers a new p...
Embedded transparency in artificial intelligence: a prerequisite for equity and representation in AI-enabled clinical trials [0.03%]
嵌入式透明度与人工智能：临床试验中的人工智能实现公平性和表现力的前提条件
Johanna M C Blom,Luca Pani
Johanna M C Blom
Artificial intelligence is being embedded in clinical trial infrastructure, shaping who is identified, stratified, and analysed. Opaque models risk amplifying existing disparities in the evidence base. We argue that embedded transparency, t...
Single lead electrocardiographic detection of left ventricular systolic dysfunction in pediatric and congenital heart disease [0.03%]
儿童和先天性心脏病的单导联心电图检测左心室收缩功能障碍
Joshua Mayourian,Ivor B Asztalos,William La Cava et al.
Joshua Mayourian et al.
Portable, scalable, and accessible artificial intelligence (AI)-enabled smartwatch technology shows promise as a cardiovascular risk stratification strategy in the general adult population. The challenges of lifelong care in congenital hear...
Passive early screening for Alzheimer's disease and related dementias using EHR comorbidity patterns [0.03%]
基于电子健康记录共病模式的阿尔茨海默病及相关痴呆症早期筛查研究
Dmytro Onishchenko,James A Mastrianni,Ishanu Chattopadhyay
Dmytro Onishchenko
Early identification of Alzheimer's disease and related dementias (ADRD) remains limited by specialized tests and late-stage diagnosis. The Zero-burden Risk Assessment (ZeBRA) is an AI-driven score that predicts incident ADRD up to a decade...