Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

The purpose of this literature review is to provide a fundamental synopsis of current research
pertaining to artificial intelligence (AI) within the domain of clinical practice. Artificial …

Clinicians and software developers need to understand how proposed machine learning
(ML) models could improve patient care. No single metric captures all the desirable …

Artificial intelligence (AI) was first described in 1950; however, several limitations in early
models prevented widespread acceptance and application to medicine. In the early 2000s …

New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

Artificial intelligence (AI) is being increasingly applied in healthcare. The expansion of AI in
healthcare necessitates AI-related ethical issues to be studied and addressed. This …

Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

One of the biggest challenges of utilizing artificial intelligence (AI) in medicine is that
physicians are reluctant to trust and adopt something that they do not fully understand and …

Background Colonoscopy remains the gold-standard screening for colorectal cancer.
However, significant miss rates for polyps have been reported, particularly when there are …

Inflammatory bowel disease is a progressive and debilitating condition. Early and effective
treatment utilizing a treat to target approach is key in improving patient outcomes. Therefore …