Latest AI and machine learning research in preventive care for healthcare professionals.
OBJECTIVES: The sensitivity of mammographic screening is lower for women with mammographically dense vs fatty breasts. We aimed to explore automated mammographic breast density and malignancy risk scores generated by an artificial intelligence (AI) model for breast cancer detection, stratified by mammography vendor. MATERIALS AND METHODS: This retrospective study included information from 200,000 ...
PURPOSE: Reliable 3D reconstruction of colonoscopic scenes can facilitate navigation and enhance lesion assessment by indicating the regions that have been inspected and revealing the geometric structure of polyps. However, accurate depth estimation in colonoscopy remains highly challenging due to specular highlights and low-texture areas. This study aims to improve monocular depth estimation in c...
BACKGROUND: Crisis helplines are a vital component of a robust public health approach to suicide prevention as they are often free, accessible, and pr...
Somalia's fragile health system, strained by decades of conflict, climate shocks, and persistently low immunization coverage, remains dangerously vuln...
Although applications in the field of Robotic Technologies for Older Adults' Healthcare are becoming increasingly widespread, existing research has la...
Glycogen synthase kinase-3β (GSK3β) is a serine/threonine kinase involved in neurodegenerative, neuropsychiatric, and oncological disorders. The devel...
Cancer immunotherapy has transformed the treatment landscape across multiple malignancies; however, durable responses remain limited to a subset of pa...
BACKGROUND: The poor prognosis of cholangiocarcinoma (CCA) is largely driven by rapid, asymptomatic disease progression, which usually results in a la...
Thalassemia is still challenging to diagnose due to heterogeneous genotypes, overlapping hematologic phenotypes (e.g., other anemias), and limited acc...
In recent years, high dimensional omics analyses have become more commonplace for investigating complex biological systems. Typically, these studies a...
INTRODUCTION: Adolescent Idiopathic Scoliosis (AIS) affects 2-4% of adolescents globally. Current screening methods face challenges, including high fa...
Vertebral compression fractures (VCFs) represent the most prevalent osteoporotic fracture and constitute a growing cause of morbidity, mortality, and ...
BACKGROUND: Chagas disease (ChD), a neglected cardiovascular condition, affects 7.5 to 10.5 million people worldwide. Opportunistic screening during r...
OBJECTIVE: This narrative review aims to identify and evaluate the available scientific literature on digital technologies assisting clinicians in per...
Glucocorticoids are prohibited in cosmetics due to health risks, yet illegal additions persist through structural modifications that evade conventiona...
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...
BACKGROUND: Anthrax remains a life-threatening zoonotic disease in resource-limited settings. Adsorbed anthrax vaccine (AVA, BioThrax) is the only Uni...