5th HOPE Workshop: Medical Artificial Intelligence in Infectious Diseases
The application of Medical Artificial Intelligence (AI) has become increasingly common in infectious diseases, offering sophisticated computational solutions to aid healthcare professionals. AI technologies hold tangible translational value, augmenting clinical practice with innovative tools and methodologies.
Workshop Highlights
- Overview of medical AI and how it is transforming infectious disease management
- Ethical and regulatory consideration in Medical AI
- AI for STI risk assessment
- AI-powered Image recognition
- Hands-on experience building basic AI models for text and image analysis
Workshop Instructors
- Professor Lei Zhang: a health economist and medical AI specialist. He has been leading the development of medical AI tools to improve early diagnosis of STIs.
- Nyi Nyi Soe: a Ph.D. candidate at Monash University. He has developed an AI Image Recognition tool for STI skin lesions and conducted related studies.
- Phyu Mon Latt: a Ph.D. candidate at Monash University. She has developed an AI-powered risk-assessment tool and conducted studies around it.
Recording
Slide / Workbook
Download
Slides/handouts
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◉ 01 Introduction Medical AI and ID
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◉ 02 Machine Learning and Risk Prediction
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◉ 03 Demostration Machine learning project
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◉ 04 Deep Learning and Image Recognition
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◉ 05 Demonstration_Image Classification
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◉ 06 Ethics Considerations