AI for Healthcare Applications
Transforming Healthcare with Advanced AI Applications
About This Course
This three-day workshop covers AI applications in advanced medical diagnosis, predictive analytics for healthcare outcomes, and personalized medicine. Participants will engage in hands-on sessions and case studies to understand practical implementations and future directions in AI-driven healthcare.
Aim
To equip PhD scholars and academicians with advanced skills in leveraging AI for healthcare applications. This course aims to enhance capabilities in medical diagnosis, predictive analytics, and personalized medicine through AI-driven techniques and tools.
Workshop Objectives
- Master AI techniques for advanced medical diagnosis.
- Implement predictive analytics models in healthcare.
- Develop AI-driven personalized treatment plans.
- Ensure ethical use of AI in healthcare applications.
- Analyze and apply real-world case studies in healthcare AI.
Workshop Structure
Day 1: AI in Advanced Medical Diagnosis
- Lecture Topics:
- AI techniques for disease detection and classification
- Case studies in radiology and pathology
- Discussion & Case Studies:
- Ethical implications and data privacy
- Practical implementation and validation
Day 2: Predictive Analytics in Healthcare
- Lecture Topics:
- Advanced predictive models for patient outcomes
- Applications in hospital management and resource allocation
- Discussion & Case Studies:
- Real-world examples and case studies
- Hands-on session with healthcare datasets
Day 3: Personalized Medicine with AI
- Lecture Topics:
- AI-driven personalized treatment plans and drug discovery
- Integration of genomics and AI
- Discussion & Case Studies:
- Case studies in personalized healthcare
- Practical implementation and future directions
Who Should Enrol?
Medical professionals, data scientists, AI researchers, bioinformaticians, and
Important Dates
Registration Ends
10/16/2024
IST 1 PM
Workshop Dates
10/16/2024 – 10/18/2024
IST 5 PM
Workshop Outcomes
- Develop and implement AI models for advanced medical diagnosis.
- Utilize predictive analytics for patient outcome forecasting.
- Create personalized treatment plans using AI.
- Address ethical and data privacy issues in AI healthcare applications.
- Apply and analyze real-world case studies in AI-driven healthcare.
Fee Structure
Student Standard fee
₹1499 | $40
Ph.D. Scholar / Researcher Standard fee
₹1999 | $45
Academician / Faculty Standard fee
₹2999 | $50
Industry Professional Standard fee
₹4999 | $75
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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