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Thursday, 24 Oct 2024 |
Video-Recording for any system with MP4-support - Video.mp4 (ca. 450 Mb) |
18:15 – 19:25 |
Öppen föreläsning
av Mehdi Astaraki:
”Tillämpningar av AI inom
canceravbildning; från diagnos till strålbehandling”
(Fysikum, Stockholms Universitet)
Abstract:
Cancer, a global health crisis responsible
for an estimated 10 million deaths
just in 2020, necessitates innovative
approaches to combat its devastating impact.
Rapid progress in image acquisition and
hardware technologies over the past three
decades has resulted in a new era of
medical imaging, allowing for the capture of
high-resolution anatomical, physiological,
functional, and metabolic data from
cancerous organs. This capability has
firmly embedded medical imaging into the
clinical routines of oncology, from
initial diagnosis and non/minimally invasive
assessment of disease prognosis to
treatment planning and image-guided
radiation therapy.
However, the growing reliance on medical
imaging has led to an overwhelming
volume of scans, posing challenges for
manual interpretation. The limitations of
human analysis have spurred the
development of computerized tools for automatic
or semi-automatic image examination.
Recent breakthroughs in artificial intelligence, particularly deep learning
techniques, have transformed various sectors, including
healthcare's radiology and radiotherapy
fields. In this presentation,
I will overview the applications of AI in
cancer care, with a particular focus on the
critical role of AI in cancer imaging.
Brief description of the speaker:
Mehdi Astaraki is a postdoctoral
researcher at the Division of Medical Radiation
Physics at SU with a passion for applying
deep learning (DL) and
machine learning (ML) methods to cancer
imaging analysis.
He aims to develop imaging biomarkers for
diagnosis, prognosis of cancer stages,
cancer development, treatment efficacy,
and radiation treatment planning.
He earned both his bachelor's and master's
degrees in Biomedical Engineering.
In September 2022, he earned his Ph.D.
degree from the joint program between
the Division of Biomedical Imaging at KTH
and the Division of Medical Radiation
Physics at KI.