Latest AI and machine learning research in primary care for healthcare professionals.
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia worldwide and is associated with substantial morbidity, including ischemic stroke, heart failure, and cognitive decline. Despite established diagnostic and therapeutic strategies, AF remains frequently underdiagnosed and suboptimally managed, particularly in asymptomatic or paroxysmal cases, in which the episodic nature of th...
Aldehyde dehydrogenase 1A1 (ALDH1A1) has emerged as a promising therapeutic target because of its critical roles in cancer stem cell maintenance and chemoresistance. However, the development of highly selective ALDH1A1 inhibitors remains challenging because of the extensive structural conservation shared with the closely related isoforms ALDH2 and ALDH1A2. In this study, we developed an integrated...
BACKGROUND: Large language models (LLMs) have the potential to provide individualized preventive care guidance at scale. Research, however, has found ...
Sepsis is a multi-system physiological syndrome defined as a dysregulated host response to infection. Despite recent advances clinicians continue to d...
BACKGROUND: Software-based and AI-enabled medical devices are increasingly networked and updatable, expanding the attack surface and making cybersecur...
INTRODUCTION: Plastic-associated chemicals (PACs) are widely detected environmental contaminants, yet their cardiovascular relevance in the context of...
Myxomatous mitral valve disease (MMVD) is the most common acquired cardiac disorder in dogs and represents a large proportion of cases encountered in ...
BACKGROUND: Age-related structural and functional remodeling of the heart and vessels increases cardiovascular disease (CVD) risk, yet comprehensive a...
OBJECTIVE: Cost analysis of autonomous artificial intelligence (AI)-based screening of diabetic retinopathy (DR) for adults with diabetes at a primary...
BACKGROUND: The cooccurrence of posttraumatic stress disorder (PTSD) and opioid use heightens suicide risk. We aimed to develop and validate a machine...
Medication non-adherence among chronic disease patients remains a major contributor to poor health outcomes and medication wastage, particularly in mu...
OBJECTIVES: Chronic conditions represent a growing global health challenge, requiring ongoing management in which patients play an active role. Althou...
BACKGROUND: Obesity is a well-established risk factor for major depressive disorder (MDD), yet the risk is not uniform, highlighting the need for prec...
BACKGROUND: Cervical cancer screening in primary care is hindered by expert pathologist shortages and heavy diagnostic workloads, leading to fatigue-i...
Acute brain injury (ABI), including traumatic brain injury, ischemic and hemorrhagic stroke, is associated with high morbidity and mortality, which is...
BACKGROUND: Systematic literature reviews offer high potential for efficiency gains from artificial intelligence (AI), now integrated into several sys...
Artificial intelligence (AI) is rapidly integrating into clinical radiology. As primary diagnosticians, radiologists increasingly interpret AI-generat...
Accurate and early detection of breast cancer in screening mammography remains a critical challenge in medical imaging, particularly due to variations...
ETHNOPHARMACOLOGICAL RELEVANCE: Jianpi Bushen Qingchang Huashi Formula (JBQHF) is a traditional Chinese medicine compound of nine herbal ingredients c...
Drug-induced renal injury (DIRI) remains a major cause of drug attrition and post-marketing safety concerns, highlighting the need for reliable early-...