- We are thrilled to announce that Dr. Mugahed A. Al-antari, head of AISSLab, was invited as a special speaker at the 8th International Artificial Intelligence and Data Processing (IDAP) Symposium organized by IEEE, held in Turkey.
- His presentation, titled "XAI-based LLM in Healthcare", captivated the audience with its innovative insights into the intersection of Explainable AI (XAI) and Large Language Models (LLMs) in the healthcare domain.
- Dr. Al-antari delved into the ongoing AI revolutions driven by LLMs, explaining how they can enhance Explainable AI (XAI) frameworks. He demonstrated the role of AISSLab in collaborating with Turkish research teams to push the boundaries of AI-enabled healthcare systems, emphasizing the importance of global cooperation in advancing AI research.
- Dr. Al-antari provided a detailed explanation of how LLMs and Computer-Aided Diagnosis (CAD) systems work in synergy, particularly in the field of medical imaging. He showcased how textual and visual data can be integrated to create more accurate, transparent, and understandable diagnostics. This collaborative approach, blending advanced AI models with human-centric explanations, was one of the highlights of his talk.XAI and CAD
- Expanding further, Dr. Al-antari explored the broader theme of AI revolutions and how LLMs support Explainable AI in a variety of medical fields. He highlighted the potential to transform diagnostic accuracy and patient care through transparent AI systems, which is a key focus of ongoing projects at AISSLab.
- In a thought-provoking segment, Dr. Al-antari touched on the future of AI, asking the audience whether it’s possible to create an artificial brain. He referenced iconic thinkers like Karel Čapek, Makoto Nishimura, and Elon Musk, as he explored the idea of reaching a human-resonance level of AI, where machines can replicate human cognition and decision-making in healthcare and beyond.
- Dr. Al-antari concluded his presentation by discussing the integration of XAI with LLMs in healthcare, offering a clear vision of the future where AI systems not only provide accurate medical diagnostics but also explain their decisions in ways that are understandable to both clinicians and patients. This integration will significantly improve trust, safety, and efficacy in AI-driven healthcare solutions.
For those who missed the presentation, you can watch the full talk by Prof. Mugahed A. Al-antari at the 8th IDAP IEEE International Conference through the following
YouTube link: Watch the Presentation Here
