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Oliver Díaz – Trustworthy AI and clinical validation in (breast) cancer imaging (AI PHI Affinity Group)
June 2, 2023 @ 9:00 am - 10:00 amFree
Trustworthy AI and clinical validation in (breast) cancer imaging
In recent years, Artificial Intelligence (AI) models have demonstrated remarkable effectiveness in the realms of cancer prevention, detection, and treatment planning. This success can largely be attributed to advancements in deep learning technology. Nevertheless, the integration of AI-based algorithms into clinical practices faces limitations, primarily stemming from the opaque nature of these models. This webinar aims to explore strategies aimed at improving the trustworthiness of AI models in clinical practice, such as the FUTURE-AI principles.
Presented by Oliver Díaz
Associate Professor at the Faculty of Mathematics and Informatics of the University of Barcelona and senior researcher at the Barcelona Artificial Intelligence in Medicine (BCN-AIM) laboratory. Dr Díaz has a PhD in Electronic Engineering from the University of Surrey, UK. He has over 15 years of experience developing and validating AI tools with biomedical data, where he has participated in more than 20 research and technology transfer projects in the field of medical imaging and medical physics. He is scientific coordinator of EU-funded project RadioVal.
Artificial Intelligence in Cancer Research – AI PHI Affinity Group
(First Friday of each month)
This group was formed to discuss the current trends and applications of artificial intelligence in cancer research and clinical practice. The group brings together AI researchers in a variety of fields (computer science, engineering, nutrition, epidemiology radiology, etc) with clinicians and advocates. Students, trainees and faculty with any or no background in AI are encouraged to attend. The goal is to foster collaborative interactions to solve problems in cancer that were thought to be unsolvable a decade ago before the broad use of deep learning and AI in medicine.