Managing artificial intelligence and robotics based services in healthcare diagnostics (5 ECTS)
Code: S000EV39-3001
General information
- Enrollment
- 02.05.2022 - 30.09.2022
- Registration for the implementation has ended.
- Timing
- 24.10.2022 - 31.12.2022
- Implementation has ended.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Rehabilitation and Examination
- Campus
- Myllypurontie 1
- Teaching languages
- English
- Seats
- 0 - 25
- Degree programmes
- Master's Degree Programme in Health Care Diagnostics
Objective
The purpose of the course is to introduce the student to the management of artificial intelligence and robotics based diagnostic services.
Learning outcomes of the course
The student
- is able to critically assess the basic concepts and principles of AI and robotics.
- gets an overview of AI based diagnostic tools/robotics used in health care diagnostics.
- understands the meaning and use cases in the society and for one’s organizations’ stakeholders.
- is able to critically assess the use of diagnostic AI and robotics from ethics viewpoint.
- is able to critically reflect future viewpoints of AI and robotics in health care diagnostics
Content
Contents
- Artificial Intelligence and robotics related concepts and basic principles.
- Effect of AI and robotics on radiographers’/biomedical laboratory scientists’ work.
- AI and robotics in healthcare diagnostic services and in the society.
- Ethical aspects of using AI and robotics in health care diagnostic services.
- The future of AI and robotics in health care diagnostics.
Materials
-Lectures
-Teacher´s material
Teaching methods
Working Methods:
-working at internet, learning tasks
-project learning
International connections
International students
Student workload
5 credits
1 credit = 27h student´s work
Total 135h
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student
understands the basic concepts and principles of AI and robotics.
understands AI based diagnostic tools/robotics used in health care diagnostics.
understands the meaning and use cases at the general level.
is able to critically assess the use of diagnostic AI and robotics from ethics viewpoint.
is able to critically reflect future viewpoints of AI and robotics in health care diagnostics
Assessment criteria, good (3)
The student
is able to critically assess the basic concepts and principles of AI and robotics.
understands AI based diagnostic tools/robotics used in health care diagnostics.
understands the meaning and use cases in the society and for one’s organizations’ stakeholders.
is able to critically assess the use of diagnostic AI and robotics from ethics viewpoint.
is able to critically reflect future viewpoints of AI and robotics in health care diagnostics
Assessment criteria, excellent (5)
The student
is able to critically assess the basic concepts and principles of AI and robotics from several viewpoints.
gets an overview of AI based diagnostic tools/robotics used in health care diagnostics.
understands the meaning and use cases in the society and for one’s organizations’ stakeholders.
is able to critically assess the use of diagnostic AI and robotics from ethics viewpoint.
is able to critically reflect future viewpoints of AI and robotics in health care diagnostics from several viewpoints.
Assessment methods and criteria
Look at course desciption
Further information
Mandatory for all degree programme students
Further information
Mandatory for all degree programme students