CM 10.4: Understanding Imaging the Heart with AI скачать в хорошем качестве

CM 10.4: Understanding Imaging the Heart with AI

For the fourth in this Curious Minds lecture series, Professor Michelle Williams, a researcher in cardiovascular disease using AI at the University of Edinburgh, spoke about the transformative potential of AI in healthcare while cautioning against disinformation. Starting from a historical overview of "AI" - more accurately, machine learning - and its evolution since the 1960s, she highlighted how large language models, though powerful, risk perpetuating inaccuracies if not rigorously trained, emphasized the need for precision in medical AI to avoid misguiding patient care. She discussed the integration of diverse data types—such as images, acoustics and biosensors—to create holistic patient profiles, enabling personalized prevention strategies rather than reactive treatments. She also stressed the importance of simplifying technical findings for broader audiences, ensuring healthcare professionals and patients alike can grasp critical insights. Finally, Professor Williams underscored the challenges of maintaining security and privacy in AI-driven medical research, framing it as both an opportunity and a responsibility. These three aspects — ethical AI training, data fusion for personalized care and simplifying complex findings — paint a vision of technology as a tool for proactive, patient-centered medicine.