Latest AI and machine learning research in primary care for healthcare professionals.
Accelerated brain aging has been reported in diabetes, but its links with diabetic peripheral neuropathy (DPN) and neuropathic pain remain unclear. We explored brain age gap (BAG) in type 1 diabetes to determine if it differs across neuropathic phenotypes, relates to clinical characteristics including DPN measures, and shows distinct regional patterns. Diabetes participants had 3.5 years of BAG, r...
Cancer poses a severe threat to human health. The limited sensitivity and efficiency of conventional drug screening methods create a pressing need for novel anti-cancer drug screening platforms. This study developed a drug efficacy assessment platform that integrates patient-derived gastric cancer organoids, atomic force microscopy (AFM)-based nanomechanical vibration detection, deep learning anal...
BACKGROUND: Hypermobile Ehlers-Danlos syndrome (hEDS) is a multisystemic hereditary connective tissue disorder characterized by generalized joint hype...
INTRODUCTION: Endovascular thrombectomy (EVT) is the standard of care for large vessel occlusion stroke, but the optimal first-line strategy remains d...
Clonal hematopoiesis of undetermined potential (CHIP), initially discovered as a mere hematological curiosity, now represents a clinically significant...
BACKGROUND: Large language models (LLMs) are increasingly used in health care by nonprofessionals (ie, individuals without formal training in health-r...
Background Artificial intelligence (AI)-assisted colonoscopy reduces costs in colorectal cancer screening, but its incremental value relative to non-A...
INTRODUCTION: Rapid reviews aim to deliver timely evidence for decision-makers when full systematic reviews are not possible or practical. Efficient s...
BACKGROUND: Deep learning (DL)-assisted low-dose computed tomography (LDCT) may improve lung cancer screening, but the available evidence is heterogen...
β-thalassemia comprises a clinically heterogeneous group of disorders in which anemia severity, transfusion exposure, iron loading, and organ complica...
BACKGROUND: Sustaining self-management is critical for optimizing clinical outcomes in individuals with type 2 diabetes mellitus (T2DM). Although digi...
BACKGROUND: AI is increasingly being integrated into health care, making it important to understand stakeholder preferences for AI-enabled technologie...
Obesity in children and adolescents is rising in China and globally, with health consequences that are already evident during childhood. This Viewpoin...
BACKGROUND: Colorectal cancer is the third most common and second deadliest cancer in the USA, but cases and deaths are preventable through appropriat...
PURPOSE: To compare the accuracy of vertical cup-disc ratios (VCDR), ascertained by machine learning (ML) versus human graders, from fundus images for...
Gouteng is a traditional Chinese medicine widely used for the clinical treatment of epilepsy, yet the specific mechanism underlying its antiepileptic ...
BACKGROUND: Real-world glucagon-like peptide-1 receptor agonist (GLP-1 RA) therapies face substantial attrition rates in commercial digital weight los...
INTRODUCTION: Oral examinations are central to medical and paramedical education for assessing reasoning, communication, and professional competencies...
BACKGROUND: Visceral and hepatic adiposity and associated inflammation are recognized as prominent features of heart failure (HF) with preserved eject...
UNLABELLED: This study aims to map ethical, legal, social, professional, and implementation issues associated with artificial intelligence (AI) in neo...