field of image recognition due to three elements: deep learning (that is, CNN, convolutional
neural network), a high‐performance computer, and a large amount of digitized data. In the
field of gastrointestinal endoscopy, Japanese endoscopists have produced the world's first
achievements of CNN‐based AI system for detecting gastric and esophageal cancers. This
study reviews papers on CNN‐based AI for gastrointestinal cancers, and discusses the …
After cardiovascular diseases, cancer is responsible for the most deaths worldwide.
Detecting a cancer disease early improves the chances for healing significantly. One group
of technologies that is increasingly applied for detecting cancer is artificial intelligence.
Artificial intelligence has great potential to support clinicians and medical practitioners as it
allows for the early detection of carcinomas. During recent years, research on artificial
intelligence for cancer detection grew a lot. Within this article, we conducted a bibliometric …