Biomedical Data and Artificial Intelligence in Health Sciences

Course Information
TitleΒΙΟΪΑΤΡΙΚΑ ΔΕΔΟΜΕΝΑ ΚΑΙ ΤΕΧΝΗΤΗ ΝΟΗΜΟΣΥΝΗ ΣΤΙΣ ΕΠΙΣΤΗΜΕΣ ΥΓΕΙΑΣ / Biomedical Data and Artificial Intelligence in Health Sciences
Code100506S
FacultyHealth Sciences
SchoolDentistry
Cycle / Level1st / Undergraduate
Teaching PeriodWinter/Spring
CommonNo
StatusActive
Course ID600023007

Programme of Study: UPS of School of Dentistry (2010-today)

Registered students: 13
OrientationAttendance TypeSemesterYearECTS
CoreElective Courses532

Class Information
Academic Year2024 – 2025
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Class ID
600258518
Course Type 2021
Specific Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Introduction to medical informatics. Familiar with Computer applications. If possible, familiar with matlab or R.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction - general concepts - data science and ML - data exploration and visualization Medical Data Management, quality and standards Machine Learning – Theory – Lab Deep learning – Theory – lab AI & Medical Decision Support/Ethics and trustworthiness of AI Medical image analysis and segmentation/characterization applications Medical Imaging, Radiomics & AI in diagnosis and prognosis Biomedical Signals - Biosignal collection and analysis Patient Decision Support / Decision Support and Behavioral Informatics AI Applications (Clinical Data, Biomarkers, Biological Data) TN in the management of the patient's everyday life
Keywords
Computational / Artificial Intelligence, biomedical data management
Educational Material Types
  • Slide presentations
  • Multimedia
  • Interactive excersises
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Description
The nature of the course makes the use of Information and Communication technologies necessary in all steps. All exercises take place on PC. Electronic submission of assignments / tests is used.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures200.8
Laboratory Work80.3
Reading Assigment60.2
Project60.2
Written assigments40.2
Exams120.5
Total562.2
Student Assessment
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Assignment (Formative, Summative)
  • Labortatory Assignment (Formative, Summative)
Last Update
03-10-2023