Latest AI and machine learning research in primary care for healthcare professionals.
Objective: To develop and validate a multivariable prediction model and clinically actionable risk s...
Background Scalable, non invasive tools are critically needed to improve early lung cancer detection...
Abstract Objective To systematically evaluate the diagnostic performance of large language models (L...
Objective Aiming at the core problems prevalent in biomedical research, including the "translational...
Managing diabetes-related conditions is time-intensive and cognitively demanding for patients and ca...
Phenotypic characterization is essential for understanding heterogeneity in chronic diseases and for...
Background Snakebite envenoming is a significant global health crisis that has been long neglected a...
Objectives Patients with osteoarthritis (OA) affecting multiple joints have poorer health outcomes t...
Charcot-Marie-Tooth disease type 2A (CMT2A) is a genetic disease characterized by autosomal dominant...
Artificial intelligence (AI)-enabled digital interventions, including Generative AI (GenAI) and Huma...
Breast cancer remains a leading cause of cancer-related mortality worldwide. Longitudinal mammograph...
Mental health related problems in adolescents are not always properly evaluated because of incomplet...
Background: A critical radiologist shortage exists in India, leading to delayed chest radiograph (CX...
Diabetic retinopathy screening traditionally relies on fundus photography, requiring specialized equ...
Hyperkalemia is a life-threatening electrolyte disorder that is common in patients with chronic kidn...
Background and Objective: Increasing screening volumes, combined with global shortage of radiologist...
Regular monitoring of glycemic status is essential for diabetes management, yet conventional blood-b...
The use of wearables in medicine and wellness, enabled by AI-based models, offers tremendous potenti...
Chronic diseases are long-lasting conditions that require lifelong medical attention. Using big EMR ...
The automatic identification of cough segments in audio through the determination of start and end p...
More than one third of adults with diabetes can experience diabetes distress due to the demands of d...