The present manuscript aims to review the history, recent advances, evidence, and
challenges of artificial intelligence (AI) in colonoscopy. Although it is mainly focused on …

Background Clinical prediction is integral to modern healthcare, leveraging current and
historical medical data to forecast health outcomes. The integration of Artificial Intelligence …

Cancer is one of the most dreadful causes of destruction to mankind. Many bioinformatics
investigators have applied Artificial Intelligence (AI)-based learning approaches with the aim …

Over the past years, research utilizing routine care data extracted from Electronic Medical
Records (EMRs) has increased tremendously. Yet there are no straightforward …

Artificial intelligence (AI) has emerged as a powerful and exciting new technology poised to
impact many aspects of health care. In endoscopy, AI is now being used to detect and …

Cancer is an aggressive disease with a low median survival rate. Ironically, the treatment
process is long and very costly due to its high recurrence and mortality rates. Accurate early …

Gastric cancer is the fourth leading cause of cancer-related mortality across the globe, with a
5-year survival rate of less than 40%. In recent years, several applications of artificial …

Advances in artificial intelligence in healthcare are frequently promoted as 'solutions' to
improve the accuracy, safety, and quality of clinical decisions, treatments, and care. Despite …

In recent years, the field of artificial intelligence (AI) in oncology has grown exponentially. AI
solutions have been developed to tackle a variety of cancer‐related challenges. Medical …

Artificial intelligence (AI), for years, has captured society's imagination and generated
enthusiasm for its potential to improve our lives. Presently, AI already plays an integral role …