Latest AI and machine learning research in health policy for healthcare professionals.
This article serves as the introduction to this special issue on Mobile Health and Mobile Rehabilita...
OBJECTIVE: We aim to characterise persistent high utilisers (PHUs) of healthcare services, and corre...
BACKGROUND AND PURPOSE: Access to healthcare data is indispensable for scientific progress and innov...
Machine learning has shown its importance in delivering healthcare solutions and revolutionizing the...
OBJECTIVE: Photoplethysmography (PPG) monitoring has been implemented in many portable and wearable ...
Among women, breast cancer is a leading cause of death. Breast cancer risk predictions can inform sc...
As a consequence of the epidemiological transition towards non-communicable diseases, integrated car...
The Industrial Revolution brought new economics and new epidemic patterns to the people, which forme...
RATIONALE AND OBJECTIVES: To evaluate deep learning (DL)-based optimization algorithm for low-dose c...
Immunoassays such as the enzyme-linked immunosorbent assay (ELISA) are utilized extensively for dete...
Computer assisted automatic smart pattern analysis of cancer affected pixel structure takes critical...
Uncertainty of labels in clinical data resulting from intra-observer variability can have direct imp...
Artificial intelligence (AI) is changing the world we live in, and it has the potential to transform...
Emblic medicine is a popular natural source in the world due to its outstanding healthcare and thera...
In vivo reflectance confocal microscopy (RCM) enables clinicians to examine lesions' morphological a...
The purpose of this study was to assess image quality and radiation dose of a novel twin robotic x-...
Due to the lack of specific early detection methods for pancreatic cancer, it usually goes undetecte...
BACKGROUND: Cell-assisted lipotransfer (CAL) promotes the survival of fat grafts with high vascular ...
Artificial intelligence (AI) has the potential to impact almost every aspect of health care, from de...
Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. Wit...
Digital care management programs can reduce health care costs and improve quality of care. However, ...