Latest AI and machine learning research in information technology for healthcare professionals.
OBJECTIVE: Traditional lecture-based learning (LBL) is often insufficient for cultivating the practi...
The growing scale and complexity of pharmaceutical quality data across the product lifecycle are out...
Cardiovascular diseases (CVDs) remain a leading source of morbidity, mortality, and healthcare burde...
Falls among elderly residents in residential aged care facilities (RACFs) are a critical public heal...
OBJECTIVES: The continual evaluation of quality indicators (QIs) for cancer pain management is essen...
The rapid deployment and usage of 5G and IoT networks in smart cities present significant challenges...
OBJECTIVES: To describe considerations for integration of human and artificial intelligence for crea...
PURPOSE: Weaning from venovenous extracorporeal membrane oxygenation (V-V ECMO) remains unstandardiz...
OBJECTIVES: Electronic health record (EHR) data discontinuity, defined as receiving care outside of ...
Radiology is rapidly evolving from a service that produces images into a data-centric clinical platf...
BACKGROUND: The digital transformation in healthcare has led to an increase in the use of telemedici...
Advances in data acquisition, artificial intelligence, and integrative bioinformatics are driving th...
Efficient, accurate phenotyping for antidepressant treatment response in electronic health records (...
OBJECTIVES: Develop and validate subtype-specific, fairness-aware machine learning (ML) models that ...
PURPOSE OF REVIEW: Early-onset type 2 diabetes (EOT2D), defined as a diabetes diagnosis before 40 ye...
Natural enzymes often fail to meet industrial demands for catalytic efficiency, stability, and subst...
The use of artificial intelligence (AI) is anticipated to transform mental health care. However, the...
Age-related cognitive dysfunction, including mild cognitive impairment and dementia, underscores the...
BACKGROUND: Machine learning (ML), deep learning (DL) and other predictive modelling approaches are ...
BACKGROUND: Cardiovascular disease (CVD) diagnosis using multimodal health care data remains a major...
Parkinson's disease (PD) is the fastest-growing neurodegenerative disorder worldwide, with projectio...