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The participants:
understand the basics of AI technology and its significance in medicine today
grasp the foundational ML concepts that underpin AI applications in healthcare.
identify practical ML applications and their benefits in various medical fields
critically analyze the impact, expectations, and cautionary aspects of using ML in healthcare.
gain perspective on the latest advancements and practical advice from leading professionals in the field.
develop critical thinking and collaborative skills to address complex issues related to ML in healthcare.
Intro to the transformative role of AI in healthcare, exploring groundbreaking applications and their impact on patient outcomes.
Detailed exploration of key ML concepts including classification, regression, and the ML workflow, tailored for healthcare applications.
Examination of specific ML applications in medicine such as anomaly detection (e.g., cancer, carotid calcification), jaundice diagnosis in newborns, and 4D heart models.
Discussion of the potentials and limitations of ML in medicine, including challenges in integrating algorithmic thinking into decision-making processes.
Expert insight on the cutting-edge of digital health, sharing real-world applications and research breakthroughs.
