Seminars in Medical Imaging and Radiotherapy

Base Knowledge

Não Aplicável

Teaching Methodologies

Seminars will be organised with national and international reference speakers who stand out in the areas under study.

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

Joana Margarida Rodrigues dos Santos

Grading Methods

The assessment will be carried out through electronic poster to be developed on a topic covered in the seminars.


    Internship(s)

    NAO

    Bibliography

    Bibliografia secundária gratuita disponível na internet:

    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

    Para além dos artigos científicos e guidelines fornecidos pelos docentes.