Latest AI and machine learning research in medicolegal for healthcare professionals.
3D printing, also known as Additive manufacturing (AM), has emerged as a transformative technology w...
Quantitative susceptibility mapping (QSM) has been applied to the measurement of iron deposition and...
Colorectal surgery is a specialized branch of surgery that involves the diagnosis and treatment of c...
Commercial software based on artificial intelligence (AI) is entering clinical practice in neuroradi...
Over the past 2 decades, the field of hepatology has witnessed major developments in diagnostic tool...
BACKGROUND: The clinical documentation of cystoscopy includes visual and textual materials. However,...
Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide, is highly ...
BACKGROUND AND OBJECTIVE: Diagnostic uncertainty, when unrecognized or poorly communicated, can resu...
Deep learning approaches are playing an ever-increasing role throughout diagnostic medicine, especia...
Three-dimensional (3D) printing, digitalization, and artificial intelligence (AI) are gaining increa...
There has been a tremendous increase in the investigations of three-dimensional (3D) printing for bi...
Some encouraging uses for AI in medicine will lead to potentially novel legal liability issues. Comp...
The growing and aging of the world population have driven the shortage of medical resources in recen...
Sediment transport is a noteworthy task in the design and operation of sewer pipes. Decreasing sewer...
Background: Historically, primary care databases have been limited to subsets of the full electronic...
This topical review is focused on the clinical breast x-ray imaging applications of the rapidly evol...
BACKGROUND: Cognitive tests and biomarkers are the key information to assess the severity and track ...
BACKGROUND: Beta amyloid in the brain, which was originally confirmed by post-mortem examinations, c...
Publicly accessible benchmarks that allow for assessing and comparing model performances are importa...
The process of finding a diagnosis in the medical domain relies on implicit knowledge and the experi...
Breakthrough methods in machine learning (ML), protein structure prediction, and novel ultrafast str...