When developing clinical prediction models, it can be challenging to balance between global models that are valid for all patients and personalized models tailored to individuals or potentially unknown subgroups. To aid such decisions, we propose a d... read more
Artificial intelligence (AI), encompassing various methods that enable computers to process complex data and perform tasks previously requiring human input, is set to play a pivotal role in the future of inflammatory bowel diseases (IBDs) health care... read more
Accurate glioma genotype prediction, such as the isocitrate dehydrogenase (IDH) mutation and O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status, is critical for personalized treatment planning and prognosis. Chemical exchange s... read more
Diffusion MRI (dMRI) enables the examination of microstructural profiles and tissue changes using specific microstructural modeling, but it requires long acquisition times and dense q-space sampling. Current deep learning-based methods are also limit... read more
BACKGROUND: Nongynecologic (non-GYN) cytology plays an important role in cellular and molecular cancer diagnosis, although its use is limited by variability and interobserver discrepancies. Recent studies suggest that artificial intelligence (AI) may... read more
Wide complex tachycardia encompasses a range of cardiac tachydysrhythmias, several of which can be life-threatening, difficult to distinguish, and require distinct treatment approaches. This review summarizes the etiologies and pathophysiology of wid... read more
ACM transactions on computing for healthcare
Apr 1, 2026
Modern intrapartum fetal health assessments are currently limited to monitoring heart rate and spatial parameters, neglecting critical biomarkers that remain unmeasurable with today's clinical devices without performing surgery. Without precise evalu... read more
The brain-predicted age difference (brain-PAD) is associated with measures of clinical interest in people with multiple sclerosis (pwMS). Most brain age models rely on 3D T1-weighted scans, which are not routinely acquired in MS clinical practice, li... read more
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