Latest AI and machine learning research in primary care for healthcare professionals.
OBJECTIVES: A screening-trained deep learning (DL) model (DL1) for pulmonary nodule malignancy probability estimation on CT previously demonstrated good discrimination on a single-centre dataset of incidental nodules. An updated DL model (DL2) was trained on both screening and clinical data. We aimed to test the performance of both models in a multicentre dataset of incidental nodules. MATERIALS A...
Digital twin-enabled robotic surgery is emerging at the intersection of surgical robotics, patient-specific simulation, artificial intelligence, extended reality, teleoperation, and surgical autonomy. However, its global research structure and translational trajectory remain insufficiently defined. This study mapped the bibliometric landscape, intellectual structure, and thematic evolution of this...
BACKGROUND: The symbiotic relationship between industrial advancement and healthcare delivery has fundamentally shaped modern medicine. This comprehen...
BACKGROUND: Infectious Diseases require rapid decisions based on heterogeneous and evolving clinical data. At the same time, the shortage of infectiou...
OBJECTIVE: Abdominal ultrasound is widely used for the routine screening of hepatobiliary and renal diseases because it is safe, inexpensive and broad...
Objective: To systematically evaluate the diagnostic performance of an artificial intelligence (AI)-assisted diagnostic system in identifying squamous...
PURPOSE: To synthesize empirical evidence on whether clinician-facing artificial intelligence (AI) tools improve clinical practice guideline adherence...
Iliofemoral vascular tortuosity may reflect vascular aging, yet natural anatomic variation remains poorly characterized at scale. In this single-cente...
Gallstone disease is a gastrointestinal condition requiring accessible, low-cost screening tools. We developed an interpretable ensemble stacking mode...
IMPORTANCE: Health care policies often fail to achieve their goals due to implementation challenges attributable to workforce constraints, fragmented ...
Left atrial (LA) function has emerged as a critical determinant of cardiovascular performance and disease progression across the spectrum of pediatric...
Steatotic liver disease (SLD) affects one-third of the global population, yet current non-invasive diagnostic methods are too costly or operator-depen...
OBJECTIVE: Patients with osteoarthritis (OA) affecting multiple joints experience greater pain than those with single-joint disease, yet most research...
Diabetic foot ulcers are a major complication of diabetes characterized by persistent inflammation and impaired tissue repair, in part driven by aberr...
BACKGROUND: Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes and long-term metabolic and cardiovascular risk. However...
BACKGROUND: Interval cancer, breast cancer detected after a negative screening examination but before the next scheduled appointment, represents a cha...
Patients with diabetes constitute a substantial proportion of those with acute myocardial infarction (AMI) and exhibit distinct pathophysiological cha...
INTRODUCTION: Infection is a common and potentially fatal complication during the treatment of hematological diseases, particularly in the context of ...
BACKGROUND: The medical black bag is synonymous with physicians, especially general practitioners, who are expected to be ready to provide care across...
BACKGROUND: Real-time breath metabolomic profiling may detect lung cancer-associated breath features, but exploratory case-control findings require ca...