What opportunities does artificial intelligence bring to the industry and will computer algorithms replace humans? Answers to these questions were sought by the participants at the session “Mental health. Medical big data".

Collecting big data in healthcare for research and applied work is absolutely necessary, says Hans-Aloise Wischman, Head of Philips Data and Artificial Intelligence Research Center.

“We can predict which patients need additional care of a doctor and medical staff, and quickly contact them - depending on their health indicators, test results, progress of the disease, and so on. We receive this “signal" as a result of processing the monitoring data by artificial intelligence and transmit it to the patient with specific recommendations selected personally for him”, said Hans-Alois Wischman.

According to him, the traditional models of diagnosis and treatment will still remain. People reinforce them with the additional capabilities that AI involvement provides in this process: “We just analyze information faster. Due to the visible dynamics of changes in a person’s condition, we more accurately identify all acute and important points and quickly select comprehensive treatment”.

“The biomedical future has already co Skoltech”, said Dmitry Dylov, associate professor at the Skolkovo Institute of Science and Technology. - One of our major projects was created on the basis of medical data of 75 thousand patients, from whom consent was received for processing information. That is, all these people believe that AI will help to prevent the occurrence of diseases and find the right treatment”.

Unfortunately, often “sticks in wheels” to innovations in medicine are introduced not by patients, but by doctors themselves. “The problem is not in robots, but in people and mentality. Is the doctor ready to accept the recommendations for treatment from artificial intelligence as from his colleague? This is a big question", said Yakov Zhytomyrsky, Digital Transformation Manager at Hadassah Medical Center. For the development of digital medicine, the expert added, it is necessary to invest not only in development, but also in staff training.