Seminars in Medical Imaging and Radiotherapy

Teaching Methodologies

Seminars will be organised with national and international reference speakers who stand out in the areas under study.
The evaluation will be carried out through a report, with oral presentation and discussion, on one of the themes addressed at the student’s choice.

Learning Results

Knowledge:
– Innovative and differentiated knowledge of cutting-edge technology in medical imaging and radiotherapy
Skills:
– critical reasoning about the advantages of technological evolution and its future character
Competeneces:
– develop the perception of technology, risk and promotion of safety and quality
– insert in your professional activity the innovative character, maintaining good practices and deotological principles

Program

• Innovations in medical imaging and radiotherapy
• Artificial intelligence in the different areas of medical imaging and radiotherapy
• Different professional aspects in medical imaging and radiotherapy

Curricular Unit Teachers

Internship(s)

NAO

Bibliography

SarkarSiddiquea, James C.L.Chowbc, Artificial intelligence in radiotherapy, Volume 25, Issue 4, July–August 2020,
Pages 656-666, https://doi.org/10.1016/j.rpor.2020.03.015
Author: Katherine Colvin, Editorial Assistant, ARTIFICIAL INTELLIGENCE AND THE FUTURE OF RADIOGRAPHY, EMJ Radiol. 2020;1[1]:23-25.
Rani Ahmadorcid , The Role of Digital Technology and Artificial Intelligence in Diagnosing Medical Images: A
Systematic Review, Vol.11 No.1, March 2021
RobertSeifertMD*†‡§ManuelWeberMD†‡§EmreKocakavuk†‡§ChristophRischplerMD†‡§DavidKerstingMD, M.Sc.†‡§,
Artificial Intelligence and Machine Learning in Nuclear Medicine: Future Perspectives, , Volume 51, Issue 2, March
2021, Pages 170-177, https://doi.org/10.1053/j.semnuclmed.2020.08.003
van Timmeren, J., Cester, D., Tanadini-Lang, S. et al. Radiomics in medical imaging—“how-to” guide and critical
reflection. Insights Imaging 11, 91 (2020). https://doi.org/10.1186/s13244-020-00887-2