Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Cultural and intangible heritage has been part of human daily life since time immemorial, fulfils a function within the community and acts as an element of identity. Its potential as a stimulus in Reminiscence Therapy (RT), however, has been scarcely explored, despite well-documented evidence on the role of music, crafts or sports as facilitators of autobiographical recall. This pilot study had th...
Fatal traffic crashes are a rare yet catastrophically consequential event in real-world crash data, typically constituting less than 1% of total records. This extreme class imbalance poses a fundamental challenge for machine learning-based severity prediction, as standard algorithms tend to ignore the minority class in favor of maximizing overall accuracy. This study investigates whether modern de...
No-reflow phenomenon remains a common and prognostically adverse complication of percutaneous coronary intervention (PCI), characterized by impaired m...
BACKGROUND: Chronic kidney disease (CKD) is a global health burden characterized by heterogeneous progression trajectories. Without timely and appropr...
OBJECTIVES: This study evaluated the accuracy, time efficiency, and workflow consistency of artificial intelligence (AI)-assisted versus human expert ...
OBJECTIVES: To operationalize and temporally validate an electronic medical record (EMR)-integrated machine learning system (Big data-driven Evaluatio...
BACKGROUND: Despite the human papillomavirus (HPV) vaccine being available to males for the past 12 years, adolescent males continue to lag in HPV vac...
INTRODUCTION: The survival rate of patients with life-threatening diseases primarily depends on the speed of diagnosis. Too often, diseases are detect...
Emerging and re-emerging infectious diseases (EIDs) represent an escalating threat to global public health, as exemplified by outbreaks of COVID-19, E...
BACKGROUND: Cough sounds are accessible, non-invasive biomarkers for respiratory disease assessment and can be captured using consumer-grade smartphon...
STATEMENT OF PROBLEM: Large language model (LLM)-based artificial intelligence (AI) platforms have emerged as tools to support clinical decision-makin...
PURPOSE: Posterior spinal fusion (PSF) with pedicle screws is the standard treatment for adolescent idiopathic scoliosis (AIS) with curves > 45°, yet ...
Machine learning (ML) offers opportunities to improve prognostication after ST-segment elevation myocardial infarction (STEMI), but real-world registr...
Congenital ossicular chain malformation constitutes a pivotal etiological factor in conductive hearing loss. Despite its relatively low clinical incid...
Complete denture prosthodontics, a core modality for the rehabilitation of edentulous patients, mainly includes implant-supported fixed prostheses and...
Digital technology has become deeply integrated into oral implantology, driving a paradigm shift in clinical practice from"experience-driven"to"precis...
PURPOSE: This systematic review aimed to evaluate the role of artificial intelligence (AI)-based technologies, including machine learning algorithms, ...
BACKGROUND: Mitochondrial dysfunction has been implicated in the pathogenesis of depression. Major depressive disorder (MDD) is a prevalent condition ...
Radial artery puncture, a routine arterial cannulation procedure for perioperative and critical care settings, is limited by high first-attempt failur...
OBJECTIVE: Young children and infants, especially newborns, are highly susceptible to seizures, which, if undetected and untreated, can lead to severe...