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Course, academic year 2024/2025
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Artificial Intelligence for Medicine - CPVL129
Title: Artificial Intelligence for Medicine
Guaranteed by: Department of Pharmacology 3FM CU (12-FARM)
Faculty: Third Faculty of Medicine
Actual: from 2024
Semester: summer
Points: 1
E-Credits: 1
Examination process: summer s.:
Hours per week, examination: summer s.:0/15, C [HS]
Capacity: unknown / unknown (15)
Min. number of students: 5
4EU+: no
Virtual mobility / capacity: no
Key competences:  
State of the course: taught
Language: English
Teaching methods: full-time
Teaching methods: full-time
Level:  
Additional information: http://intended for students of fourth-sixth year
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: PharmDr. Chrysostomos Charalambous, Ph.D.
Comes under: AVSEOB1-PVK-3 (ZÁPIS)
Pre-requisite : CVSE1M0001
Examination dates   Schedule   
Annotation
Last update: Bc. Kateřina Maternová (09.04.2024)
This course introduces Artificial Intelligence (AI) and its recent applications in medicine. It starts by motivating and defining AI, before folding over to a survey of some of its newest applications to medicine, including diagnosis, prognosis, drug discovery, and recommendations of individualized treatments. Afterwards, it provides a bird’s-eye view of some of the major AI techniques, including machine learning, deep neural networks, recommendation systems, and ranked retrieval. Finally, it concludes with a discussion on some of the concerns related to AI, including ethical issues, job security, society, and healthcare institutions.
Course completion requirements
Last update: Bc. Kateřina Maternová (03.04.2024)

Credit test

Syllabus
Last update: Bc. Kateřina Maternová (09.04.2024)

1. Introduction to AI & Administrivia

2. AI Applications in Medicine

3. Information Retrieval

4. Machine Learning: Core Concept

5. Linear Regression

6. Logistic Regression

7. Deep Learning

Course completion requirements
Last update: Bc. Kateřina Maternová (03.04.2024)

Credit test

 
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