Latest AI and machine learning research in medicolegal for healthcare professionals.
The growing use of artificial intelligence (AI) in health care has raised questions about who should...
The automation of medical documentation is a highly desirable process, especially as it could avert ...
Artificial Intelligence (AI) has been drawing attention in the field of medical devices. However, du...
OBJECTIVE: Identifying pseudogout in large data sets is difficult due to its episodic nature and a l...
Artificial intelligence (AI) has found its way into every sphere of human life including the field o...
This chapter aims to present insights into the influence of artificial intelligence (AI) on medicine...
Systemic discrimination in healthcare plagues marginalized groups. Physicians incorrectly view peopl...
OBJECTIVE: The study sought to understand the potential roles of a future artificial intelligence (A...
Rhabdomyolysis is a potentially fatal disease caused by trauma, infections, and toxins. Rhabdomyoly...
This cross-sectional study applies natural language processing to electronic health records from a l...
eHealth is the use of modern information and communication technology (ICT) for trans-institutional ...
ADVANTAGES OF ARTIFICIAL INTELLIGENCE (AI): With responsible, safe and successful use of artificial ...
Computer vision systems (CVS) have been shown to be a powerful tool for the measurement of live pig ...
PURPOSE: The cancer research community is constantly evolving to better understand tumor biology, di...
Decision models (DM), especially Markov Models, play an essential role in the economic evaluation of...
Accurate electronic health records are important for clinical care, research, and patient safety ass...
The field of artificial intelligence (AI) is currently experiencing a period of extensive growth in ...
With agriculture rapidly becoming a data-driven field, it is imperative to extract useful informatio...
As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is incre...
PURPOSE: To evaluate random forests (RFs) as a supervised machine learning algorithm to classify amy...
To date, consumer health tools available over the web suffer from serious limitations that lead to l...