Latest AI and machine learning research in work force for healthcare professionals.
BACKGROUND: Health professionals face significant psychological burdens including burnout, anxiety, ...
Cardiac ultrasound (US) scanning is one of the most commonly used techniques in cardiology to diagno...
BACKGROUND: The cytological diagnostic process of EUS-FNA smears is time-consuming and manpower-inte...
Clinicians spend large amounts of time on clinical documentation, and inefficiencies impact quality ...
: Accurate biomechanical modeling is crucial for enhancing the realism of virtual surgical training....
BACKGROUND: Artificial intelligence (AI), which emulates human intelligence through knowledge-based ...
Captured retinal images vary greatly in quality. Low-quality images increase the risk of misdiagnosi...
AIMS: Several countries struggle with general practitioner (GP) burnout, recruitment and retention. ...
Empathy is the capacity to experience and understand the feelings of others, thereby playing a key r...
UNLABELLED: Effective communication is crucial in reducing health disparities. However, linguistic d...
The rising global incidence of breast cancer and the persistent shortage of specialized radiologists...
Speech disorders affect an individual's ability to generate sounds or utilize the voice appropriatel...
INTRODUCTION: Maternal mortality refers to a mother's death owing to complications arising from chil...
Accurate control over individual fingers of robotic hands is essential for the progression of human-...
Despite the similar global structures in Chest X-ray (CXR) images, the same anatomy exhibits varying...
Color is an important index for human visual evaluation of landscape, and it is also a key factor af...
IMPORTANCE: The rise of patient messages sent to clinicians via a patient portal has directly led to...
BACKGROUND: The health care sector faces a projected shortfall of 10 million workers by 2030. Artifi...
Upper-limb paresis is one of the main complications after stroke. It is commonly associated with imp...
Learning from limited data has been extensively studied in machine learning, considering that deep n...
Despite excitement around artificial intelligence (AI)-based tools in health care, there is work to ...