SubjectsSubjects(version: 983)
Course, academic year 2025/2026
   
Digital technologies and artificial intelligence methods in neuropsychiatry - CPVL066
Title: Digital technologies and artificial intelligence methods in neuropsychiatry
Guaranteed by: Department of Psychiatry and Medical Psychology 3FM CU and NIMH (12-PCHI)
Faculty: Third Faculty of Medicine
Actual: from 2025
Semester: winter
Points: 1
E-Credits: 1
Examination process: winter s.:
Hours per week, examination: winter s.:0/15, C [HS]
Capacity: unknown / unknown (20)
Min. number of students: 10
4EU+: no
Virtual mobility / capacity: no
Key competences:  
State of the course: taught
Language: English
Teaching methods: full-time
Level:  
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: MUDr. Marián Kolenič, Ph.D.
Comes under: AVSEOB-PVK-3 (ZÁPIS)
AVSEOB-PVK-4 (ZÁPIS)
AVSEOB1-PVK-3 (ZÁPIS)
AVSEOB1-PVK-4 (ZÁPIS)
Pre-requisite : C1VL001
Schedule   
Annotation -
The course is aimed at gaining a deeper knowledge of the possibilities of using digital technologies in the field of psychiatry and neurology. The course will gradually discuss topics such as remote monitoring of symptoms, telemedicine, e-Health mobile applications, personalized medicine, digital phenotyping, chatbots, virtual reality, digital therapeutic (DTx), the use of artificial intelligence methods to diagnose neuropsychiatric diseases and ethical aspects related to using digital technologies in medical practice. The aim of the course is to provide more detailed options of using digital technologies for improving clinical patient care, but also to discuss possible limitations. The course will focus on psychiatric and neurological disorders, but will also outline the possibilities of use in other medical fields
Last update: Kolenič Marián, MUDr., Ph.D. (05.09.2022)
Course completion requirements -

Course completion requirements: 70 % attendance

Last update: Kolenič Marián, MUDr., Ph.D. (30.09.2022)
Syllabus -

Digital technologies and artificial intelligence methods in neuropsychiatry

The course is aimed at gaining a deeper knowledge of the possibilities of using digital technologies in the field of psychiatry and neurology. The course will gradually discuss topics such as remote monitoring of symptoms, telemedicine, e-Health mobile applications, personalized medicine, digital phenotyping, chatbots, virtual reality, digital therapeutic (DTx), the use of artificial intelligence methods to diagnose neuropsychiatric diseases and ethical aspects related to using digital technologies in medical practice. The aim of the course is to provide more detailed options of  using digital technologies for improving clinical patient care, but also to discuss possible limitations. The course will focus on psychiatric and neurological disorders, but will also outline the possibilities of use in other medical fields.

Expected schedule (may be changed during the course):

18.11.2025  -  16:00-18:15

  • MUDr. Marián Kolenič, Ph.D:  Introduction to the course  , Remote monitoring of the symptoms in neuropsychiatry, digital phenotyping;  analyzing medical data via machine learning paradigms

25.11.2025  - 16:00-17:30 

  MUDr. Marián Kolenič, Ph.D:  personalized medicine  ,  Digital therapeutic (DTx),  digitally-delivered psychological therapies, telemedicine, chatbots, mobile applications  

 

2.12.2025   - 16:00-19:00

Ing. Eduard Bakštein, Ph.D.:  Basics of data analysis and A.I. , Applied A.I solutions in neuropsychiatry, evaluation and validation 

 

9.12.2025   - 16:00-19:00

Mgr. Markéta Kolman Jablonská: Virtual reality in psychiatry and psychotherapy- overview and practical demonstrations of the clinical application of VR in diagnosis and psychotherapeutic care, particularly in patients with anxiety disorders, schizophrenia and in cognitive rehabilitation.

16.12.2025   - 16:00-17:30 (Online) 

MUDr. Marián Kolenič, Ph.D: , Evaluation of e-Health mobile applications;  risks and ethical aspects related to using digital technologies in medicine; course completion, 

 

Place: Small lecture hall (102.05 ), NUDZ/NIMH Klecany

 

Course completion requirements: 70 % attendance

 

Last update: Kolenič Marián, MUDr., Ph.D. (14.11.2025)
 
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