Latest AI and machine learning research in preventive care for healthcare professionals.
Smartphone-based fundus imaging (SBFI) is an emerging approach with potential relevance for global ophthalmic care, including in low- and middle-income countries and other resource-constrained settings. This scoping review, based on a structured literature search, synthesises current SBFI technology, clinical and teaching applications, implementation challenges and future directions. Analysing 30 ...
Medical artificial intelligence (AI) has shown great potential for the early screening and accurate diagnosis of fundus diseases. However, diagnostic methods based on single-modality retinal images still have clear limitations. Two-dimensional (2D) fundus images, including color fundus photography (CFP) and near-infrared (NIR) fundus images, capture superficial retinal morphology, vascular distrib...
BACKGROUND & AIMS: Noninvasive tests to identify pediatric metabolic dysfunction-associated steatohepatitis (MASH) remain a critical need. We aimed to...
Accurate longitudinal nodule matching is a critical technical prerequisite for automated growth rate (volume doubling time) assessment in lung cancer ...
IMPORTANCE: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a treatable cause of heart failure, but diagnosis is often delayed. Accessible tools to ...
Microphysiological immune-on-chip systems have emerged as transformative biomedical microdevices capable of recreating the structural, biochemical, an...
Molecular docking is a critical step in drug development, enabling the virtual screening of compound libraries to identify potential ligands for speci...
OBJECTIVE: To develop and validate a predictive tool to estimate the risk of ovarian cancer in a screening setting. METHODS: Machine learning was leve...
Childhood visual impairment and blindness remain major public health concerns in low- and middle-income countries (LMICs), despite a substantial propo...
Nanomaterial-based drug delivery systems (NDDS) have become enabling technologies for small-molecule reformulation, RNA medicines, vaccines, gene edit...
The global emergence of monkeypox virus (MPXV) has created an urgent need for effective vaccines that induce robust immune responses. Here, we report ...
Vaccination remains among the most effective public health interventions, but its impact increasingly depends on public trust and a reliable informati...
OBJECTIVES: To evaluate an artificial intelligence (AI) algorithm on three different mammography devices and assess screening performance using genera...
BACKGROUND: The prevalence, incidence rate and burden of injuries are high in rugby union. Despite the growing application of machine learning for inj...
BACKGROUND: AI is increasingly being integrated into cancer screening, treatment, and patient care. However, AI adoption across cancer centers varies,...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is among the most prevalent chronic liver diseases worldwide. B-mode ultrasound remai...
BACKGROUND: Early detection of plasma cell disorders (PCDs) remains challenging due to limited accessibility of gold standard diagnostic methods. This...
INTRODUCTION: A cross-sectional comparative device study to compare the Eyerobo Vision Screener (VS), a portable handheld photorefractor, against a co...
Satellite remote sensing has significantly advanced the detection and monitoring of marine oil spills; however, translating observations of surface co...
RATIONALE AND OBJECTIVES: Interval breast cancers (IBCs) occur after false-negative (FN) screening mammograms and can be diagnostically challenging. T...