Latest AI and machine learning research in preventive care for healthcare professionals.
When evaluating principal surrogate biomarkers in vaccine trials, missingness in potential outcomes ...
Image synthesis is a novel solution in precision medicine for scenarios where important medical imag...
Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-c...
PURPOSE: To study the feasibility of automatically identifying normal digital mammography (DM) exams...
OBJECTIVE: Local reactions are the most common vaccine-related adverse event. There is no specific d...
BACKGROUND: Large tertiary hospitals usually face long waiting lines; patients who want to receive h...
Gene fusions have a very important role in the study of cancer development. In this regard, predicti...
Automatic polyp detection has been shown to be difficult due to various polyp-like structures in the...
BACKGROUND: Current automated cervical cytology screening systems still heavily depend on manipulati...
Recent breakthroughs in artificial intelligence (AI), specifically via its emerging sub-field "deep ...
Inverse Virtual Screening is a powerful technique in the early stage of drug discovery process. This...
Virtual screening is a promising method for obtaining novel hit compounds in drug discovery. It aims...
BACKGROUND: Incorporation of cognitive screening into the busy primary care will require the develop...
The advent of cardiovascular diseases as a disease of mass catastrophy, in recent years is alarming....
INTRODUCTION: Using machine learning techniques, we developed a brief questionnaire to aid neurologi...
Learning from patient safety incident reports is a vital part of improving healthcare. However, the ...
Reports of successful applications of machine learning (ML) methods in structure-based virtual scree...
BACKGROUND: Colorectal capsule endoscopy (CCE) is a potentially valuable patient-friendly technique ...
In medicine, retinal vessel analysis of fundus images is a prominent task for the screening and diag...
This study investigated how influences people's processing of messages about risks and benefits of...
BACKGROUND AND AIM: Application of artificial intelligence in medicine is now attracting substantial...