Latest AI and machine learning research in health policy for healthcare professionals.
The integration of new technologies such as artificial intelligence (AI) into healthcare has initiated profound changes in clinical practice, reshaping not only clinical workflows but the relational structure of care itself. Among the most significant developments is the transformation of the traditional doctor–patient dyad into a doctor–patient–technology triad. Philosophical studies of technolog...
BACKGROUND: Chronic back pain is a severe health condition with underlying biopsychosocial factors that make diagnosis difficult, and pain chronicity has been shown to be an important variable for studying patient outcomes. Due to the absence of standardized criteria, pain chronicity needs to be manually annotated by clinicians in electronic health records (EHRs), which is not only time consuming ...
BACKGROUND: Accurate assessment of left ventricular ejection fraction (LVEF) is crucial for heart failure (HF) diagnosis but requires skilled sonograp...
Federated learning (FL) is a machine learning (ML) approach that allows multiple devices or institutions to collaboratively train an ML model without ...
Smart farming technologies significantly enhance medicinal plant cultivation by improving yield, quality, and sustainability, while addressing traditi...
BACKGROUND: Artificial intelligence-based radiomic approaches have been shown to accurately evaluate indeterminate pulmonary nodules. With the expansi...
AIMS: This study compares deep learning architectures with traditional regression and tree-based models for individual-level healthcare cost predictio...
BACKGROUND/OBJECTIVES: Patient messaging portals are widely used in clinical practice and are linked to improved patient outcomes, but they are also a...
AIMS: Nearly, 40% of patients undergoing elective invasive coronary angiography (ICA) are diagnosed with non-obstructive coronary artery disease (CAD)...
Vaccination remains one of the most cost-effective methods for disease prevention. However, utilization of self-paid vaccines, including EV71, varicel...
BACKGROUND: Visual impairment (VI) affects more than 600 million people globally and significantly reduces quality of life. In Singapore, 20% of adult...
BACKGROUND: Artificial neural networks (ANNs) are increasingly applied in health care outcome prediction, yet their relative benefits compared with tr...
AIM: This perspective proposes evidence-informed strategies to advance health literacy equity for migrant domestic workers (MDWs) globally, integratin...
IMPORTANCE: Digital skills are increasingly essential in performing daily activities. Occupational therapy practitioners require valid and accessible ...
Artificial intelligence (AI) is set to transform traditional healthcare delivery and patient care. However, this transformation presents a range of ch...
BACKGROUND: Long axial field-of-view PET scanners are becoming increasingly available worldwide for clinical and research nuclear medicine examination...
Photoacoustic (PA) imaging offers high-resolution functional imaging in vivo, but image quality varies with acquisition hardware, reconstruction metho...
People living with cancer, and their caregivers and families, have access to many sources of health information. This brings both positives and challe...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into education and healthcare, raising questions about how students use these tech...
Artificial intelligence (AI) has emerged as a promising tool to detect early dysplasia in Barrett's esophagus (BE). However, the cost-effectiveness of...