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Managing artificial intelligence and robotics based services in healthcare diagnostics (5 ECTS)

Code: S000EV39-3002

General information


Enrollment
06.05.2024 - 30.09.2024
Registration for the implementation has ended.
Timing
01.10.2024 - 26.11.2024
Implementation has ended.
Number of ECTS credits allocated
5 ECTS
Mode of delivery
On-campus
Campus
Myllypurontie 1
Teaching languages
English
Seats
0 - 40
Degree programmes
Master's Degree Programme in Health Care Diagnostics
Teachers
Päivi Haho
Juha Havukumpu
Teacher in charge
Juha Havukumpu
Groups
S2524S6A
Master's Degree Programme in Health Care Diagnostics - Biomedical Laboratory Services
S2524S6B
Master's Degree Programme in Health Care Diagnostics - Clinical Radiography Services
S2524S6
Master's Degree Programme in Health Care Diagnostics, ylempi
Course
S000EV39

Implementation has 3 reservations. Total duration of reservations is 9 h 0 min.

Time Topic Location
Tue 01.10.2024 time 15:00 - 18:00
(3 h 0 min)
Managing artificial intelligence and robotics based services in healthcare diagnostics S000EV39-3002
ZOOM
Tue 22.10.2024 time 15:00 - 18:00
(3 h 0 min)
Managing artificial intelligence and robotics based services in healthcare diagnostics S000EV39-3002
ZOOM
Tue 26.11.2024 time 15:00 - 18:00
(3 h 0 min)
Managing artificial intelligence and robotics based services in healthcare diagnostics S000EV39-3002
ZOOM
Changes to reservations may be possible.

Learning outcomes

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.

Teaching methods

Working Methods:
-working at internet, learning tasks
-project learning

Learning materials and recommended literature

-Lectures
-Teacher´s material

International connections

International students

Student workload

5 credits
1 credit = 27h student´s work
Total 135h

Assessment methods and criteria

Look at course desciption

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.

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