**11. Analysis of artificial intelligence applications by tendency of use in medical areas**

The trend of artificial intelligence in healthcare marks a meeting point between the pure sciences and the medical sciences.

The most pronounced trend is machine learning. In this application area, the medical specialties in which the greatest applications were developed were in the diagnostic area with the use of advanced optics, on a large scale for the observation of cancer cells in different parts of the body. Additionally in combination with Big Data and automatic reasoning in internal medicine, have intervened in important areas such as chronic non-communicable diseases, rheumatology, pulmonology, cardiology, and diabetes diseases for intensive insulin therapy. Additionally, the most intervened surgical specialties or surgery are pediatric surgeries, ophthalmologic surgeries, and general surgery.

The second trend is identified as Computer Vision, focused on image and video recognition with ultra-magnified large-scale optics and also identification with precise biopsy of colon cancer cells and finally, detection of cancer cells, and anatomical identification of neuron parts.

The third trend focused on expert systems, where genetics and genetic microbiology are identified in studies of viral mutations and DNA sequencing. Additionally, knowledge is based on diagnostic rules for early detection of cancer in its early stages and deep learning with the application of neural networks, estimation, and neurological diseases.

There are also applications combined with machine learning and big data for the use of physiological alarms structured in a network with intelligent agents, and evidence-based medicine through questions and answers of diseases and treatments, generating new research lines. Other combinations were machine learning, expert systems, and logistic regression used in antiretroviral treatment predictions.
