Organizer: The Department of propediutics of internal diseases.
Initiator: Amangalieva G.M., assistant of the department.
Purpose: Training students of the 3rd year of the concept of artificial intelligence in the diagnosis of arterial hypertension.
Dates: 08-12 January 2024.
Venue: Dormitory 3, Department of Propediutics of Internal Diseases.
Learning Format: Offline.
The Winter School was organized to provide 3rd year students with an opportunity to learn the concept of using artificial intelligence in the diagnosis of arterial hypertension. The training was conducted offline in the department of propedevelostics of internal diseases in the building of 3 hostels. The assistant of the department, Amangalieva G.M., initiated the event.
The Winter School provided students with a unique opportunity to gain in-depth knowledge about the application of artificial intelligence in medicine and its role in the diagnosis and treatment of arterial hypertension.
During the Winter School, students had the opportunity to work with scientific platforms and databases such as Pub Med and UpToDate. These platforms provide access to a wide range of scientific articles, publications and clinical recommendations related to arterial hypertension and artificial intelligence in medicine.
Students used Pub Med to search for relevant research and articles related to the diagnosis and treatment of arterial hypertension. This database provides access to an extensive collection of medical publications that have helped students deepen their knowledge in this field.
In addition, students used the UpToDate database, which provides reliable clinical advice and information on current treatment standards. This helped students to familiarize themselves with the latest developments in the diagnosis and treatment of arterial hypertension, as well as the roles of artificial intelligence in this context.
Working with scientific platforms and databases allowed students to get acquainted with current research and clinical recommendations, as well as to use this knowledge during practical sessions and discussions at the Winter School. This contributed to a better understanding of the concept of applying artificial intelligence to the diagnosis of hypertension.[/vc_column_text]
