Marrakech, 6-10/10/2024.
As the iToBoS project continues to push the boundaries of AI-driven diagnostics in melanoma detection, engaging with the broader scientific community is key to staying at the forefront of innovation.
Rafael Garcia, the project coordinator of iToBoS, had the opportunity to attend the Ninth ISIC Skin Image Analysis Workshop held at the MICCAI 2024 conference in Marrakech (Morocco) between 6-10 October 2024.
The ISIC (International Skin Imaging Collaboration) Workshop is a central platform for experts in dermatology, AI, and medical imaging to discuss cutting-edge advancements in skin image analysis. This year, the workshop attracted top researchers, clinicians, and technologists from around the world, all focused on enhancing the role of artificial intelligence in dermatology. The iToBoS project, which leverages AI for the early detection of melanoma through a full-body scanning system, aligns closely with the themes of the workshop, particularly in advancing diagnostic tools to support healthcare professionals.
At the workshop, Rafael Garcia engaged with leading scientists working on innovative AI models for skin lesion classification, and discussed the latest benchmarks in skin image datasets. One of the core discussions revolved around improving model accuracy while ensuring fairness and explainability in AI systems, an issue at the heart of iToBoS.
In addition to Rafael Garcia, other members of the iToBoS consortium also attended the conference and contributed to the discussions. Notably, Hang Nguyen from Torus Actions actively participated, sharing her insights on how AI can be integrated into clinical workflows while ensuring both explainability and patient safety. Her contributions, particularly on the use of AI to support personalized care, highlighted the importance of a multidisciplinary approach to AI development in healthcare.
Find out more at MICCAI 2024.