Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND Cervical cancer (CC) mortality remains a global health problem, and women's awareness of ...
This study systematically evaluated the effectiveness of three artificial intelligence (AI) tools-Ch...
Research on trust in healthcare AI has grown significantly over the last five years, underscoring it...
Low-income populations have disproportionately low completion of recommended healthcare services, fr...
To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...
BACKGROUND: Hypertension poses a significant public health challenge in low- and middle-income count...
PURPOSE OF REVIEW: Lower extremity amputations (LEAs) are among the most severe complications of dia...
INTRODUCTION: Despite the increasing number of studies using machine learning to develop individuali...
Chest radiographs play a crucial role in tuberculosis screening in high-prevalence regions, althoug...
Monitoring of fasting blood sugar (FBS) is a critical component in the diagnosis and management of d...
Diabetes is a complex metabolic disorder, and its pathogenesis involves the interplay of genetic, en...
Improved scalability of high-throughput RNA-sequencing technologies has contributed to their propose...
Monitoring biomarkers offers insights for early disease (e.g., cancer, chronic diseases) screening, ...
Heart transplantation (HTx) remains the definitive treatment for patients with end-stage heart disea...
BACKGROUND: Intradialytic hypotension (IDH) and intradialytic hypertension (IDHTN) are major complic...
BACKGROUND: Dipeptidyl peptidase-4 (DPP4) is considered a crucial enzyme in type 2 diabetes (T2D) tr...
BACKGROUND: The rapid advancement of artificial intelligence, driven by Generative Pre-trained Trans...
Cancer-associated fibroblasts promote tumor progression through growth facilitation, invasion, and i...
Postoperative pneumonia, a prevalent complication arising from lower limb fracture surgery, can sign...
This paper presents a novel framework for accurate exercise posture recognition and health indicator...
There are no prospective clinical studies evaluating artificial intelligence implementation for glau...