Background: Artificial intelligence computer-aided detection (CADe) of colorectal neoplasia
during colonoscopy may increase adenoma detection rates (ADRs) and reduce adenoma …

Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases,
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …

Research into the potential benefits of artificial intelligence for comprehending the intricate
biology of cancer has grown as a result of the widespread use of deep learning and …

Background: The role of computer-aided detection in identifying advanced colorectal
neoplasia is unknown. Objective: To evaluate the contribution of computer-aided detection …

Background Artificial intelligence systems have been developed to improve polyp detection.
We aimed to evaluate the effect of real-time computer-aided detection (CADe) on the …

Artificial intelligence (AI) in oncology is advancing beyond algorithm development to
integration into clinical practice. This review describes the current state of the field, with a …

Abstract The Consolidated Standards of Reporting Trials extension for Artificial Intelligence
interventions (CONSORT-AI) was published in September 2020. Since its publication …

Simple Summary Pancreatic cancer will soon become the second leading cause of cancer-
related death mainly due to a lack of early diagnosis. Artificial intelligence is being applied in …

Background The use of artificial intelligence (AI) in detecting colorectal neoplasia during
colonoscopy holds the potential to enhance adenoma detection rates (ADRs) and reduce …

Colorectal cancer (CRC) is a significant cause of morbidity and mortality worldwide. National
screening guidelines have been implemented to identify and remove precancerous polyps …