From gastric cancer prevention to global health care, this is the way to implementing artificial intelligence in medicine

Vollständiger Abstract

Worum geht es in dieser Arbeit?

The use of artificial intelligence (AI) models for gastric cancer prevention shows promise beyond traditional diagnostic approaches. Modern digital technologies can be applied to global healthcare. The implementation of deep machine learning has significantly increased the efficiency of computer vision. The introduction of AI is very effective in the field of diagnostic recognition of pathology in endoscopic, radiological and histological images. Robotic surgery has good development prospects. Also, many methods of treating diseases are implemented using AI technologies. Comparative studies of the effectiveness of a human doctor and AI have a high level of evidence. Comparative studies report high levels of performance for AI vs human clinicians in selected tasks, although evidence varies by task and dataset. AI demonstrates higher efficiency than 5-10 highly qualified experts in many areas of medicine. The main areas of medicine actively use AI: Diagnostic recognition of X-ray computed tomographic and magnetic resonance images, endoscopic and histological patterns. The use of AI has begun in the field of targeted treatment. The development of robot-associated surgery continues. There is a good prospect for using AI not only for recognizing X-ray computer images, in endoscopy, histology and targeted treatment, but also for subjective methods of examining patients. For example, the development of AI models for questioning patients by correspondence or conversation between the interlocutor - a doctor and the interlocutor-a patient has begun. The number of assistants (interlocutors, digital agents) can be more than two. The language of communication can also be any.