Session

AI-powered Medical Diagnosis: From Research to Reality

Relevance to Theme: This workshop bridges the gap between research and real-world applications of AI in medical diagnosis.
Audience Relevance: Medical researchers, data scientists, and healthcare professionals interested in leveraging AI for improved diagnosis accuracy.
Solution: Participants will work with pre-trained AI models for medical image analysis (e.g., X-rays) and explore techniques for data visualization and communication of AI-driven diagnostic insights to healthcare professionals.
Takeaways:
Participants will gain hands-on experience using AI models for medical imaging and understand the challenges of integrating AI into clinical workflows.
They will explore responsible data management practices and ethical considerations in AI-powered healthcare solutions.

Moruri Charles

Data Scientist

Nairobi, Kenya

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