Latest AI and machine learning research in information technology for healthcare professionals.
Sustained engagement in HIV care and adherence to ART are crucial for meeting the UNAIDS "95-95-95" ...
Sepsis-associated acute kidney injury (SA-AKI) is a heterogeneous clinical syndrome and a leading ca...
Cervical spondylotic myelopathy (CSM) is the leading cause of spinal cord dysfunction in older adult...
BACKGROUND: Changes in opioid prescribing practices have evolved, including perioperative settings. ...
This integrative conceptual review synthesizes psychological, ethical, and quantum-information persp...
BACKGROUND: Machine learning prediction models require prospective validation to ensure implementati...
Electronic health records (EHRs) capture evolving physiological processes, yet most machine learning...
Barriers to accessing veterinary-care for dog-owners are diverse and dynamic, and widely accepted as...
BACKGROUND: Heart disease remains a leading cause of mortality, making accurate and efficient predic...
BACKGROUND: Artificial intelligence (AI) offers potential solutions to address the challenges faced ...
BACKGROUND: Advances in artificial intelligence (AI) have revolutionized digital wellness by providi...
Acute ischemic stroke (AIS) outcomes depend critically on rapid, accurate early diagnosis in the eme...
OBJECTIVES: Electronic health records (EHRs) rarely capture dietary detail, limiting diet-disease re...
This review examines the emerging integration of nanosensor networks with modern information and com...
OBJECTIVE: This study aims to develop an AI-powered detection system for identifying dental anatomy-...
PURPOSE: To describe the design and organizational structure of a global collaborative consortium ai...
Cardiovascular disease is the leading cause of global morbidity and mortality, with coronary artery ...
Inflammatory bowel disease (IBD) is a chronic disorder that requires long-term follow-up and individ...
PURPOSE: Collections of interesting cases are at the heart of radiology education, but efficient sav...
OBJECTIVE: Radiology residents require timely, personalized feedback to develop accurate image analy...
BACKGROUND: Asthma is the most common chronic disease in children. Suboptimal asthma control is prev...