If we search the database of PubMed, one of the most important search engines for scientific work in the field of health at an international level, we find that in the past five years, nearly 4000 scientific articles have been published on topics related to health, artificial intelligence and preventive diagnosis in medicine, 1434 Including between 2000 and the first five months of this year. The interest in using AI and VR related tools in health research is due to the versatility these tools offer professionals. How does artificial intelligence work in medicine? Part of the processing, analysis, and visualization of large databases and even images, which is known as big data, from which algorithms are designed that can find patterns in the analyzed data. In turn, these patterns make it possible to develop, for example, disease prevention and evaluation systems that adapt to the specific needs of each patient, but also allow monitoring of development after surgery or early diagnosis of degenerative diseases, among others.

AI is seen as a possible silver bullet for medicine and healthcare. But can AI truly transform these realms? The answer is no in the short term, but very likely in the long term. Right now billions of dollars are being invested in AI research for medicine, medically oriented human biology, and health care. It is not surprising why upon the waves of myriads of sensational headlines from media outlets, we are becoming more and more intrigued about what results it can bring.

Artificial intelligence raises exciting possibilities for healthcare, but are companies promising more than they can deliver? But artificial intelligence's potential also comes with an incredible level of hype. "AI has the most transformative potential of anything I've seen in my life, and I graduated medical school 40 years ago. It's the biggest thing I've ever seen by far," prominent cardiologist and author Dr. Eric Topol told Medical Design & Outsourcing. "But it's more in promise than it is in reality."