AI in Healthcare
Revolutionizing Healthcare with Intelligent Solutions
About This Course
The AI in Healthcare workshop delves into the integration of AI technologies in the healthcare ecosystem. Participants will learn how AI is used in diagnostics, personalized medicine, drug discovery, and administrative processes. The program combines theoretical insights with hands-on activities, showcasing real-world applications of AI in healthcare settings.
Aim
To explore the transformative role of Artificial Intelligence (AI) in healthcare, enabling participants to understand, design, and implement AI-powered solutions for improved patient outcomes and operational efficiency.
Workshop Objectives
- To introduce participants to the transformative potential of AI in healthcare.
- To train participants in the practical applications of AI in diagnostics, operations, and patient care.
- To address ethical and regulatory challenges in deploying AI in healthcare.
- To showcase real-world case studies of successful AI implementations in the medical field.
- To prepare participants for roles in the evolving landscape of AI-driven healthcare innovation.
Workshop Structure
Day 1: Introduction to AI in Healthcare
- Overview of AI in Healthcare
- Definition and significance of AI in healthcare.
- Key areas: Diagnosis, treatment, patient management, and drug discovery.
- Core AI Techniques in Healthcare
- Machine Learning (ML): Predictive modeling for patient outcomes.
- Natural Language Processing (NLP): Extracting insights from clinical notes.
- Computer Vision: Medical imaging and diagnostics.
- Challenges and Ethical Considerations
- Data privacy (HIPAA, GDPR).
- AI biases and their impact on healthcare decisions.
Day 2: Applications and Tools
- AI-Powered Diagnostics
- Medical imaging: AI in X-rays, MRIs, and CT scans.
- Hands-on: Using a pretrained model for image classification.
- Predictive Analytics in Healthcare
- Predicting patient outcomes and disease progression.
- Example use case: Early detection of chronic conditions like diabetes.
- Tools for AI in Healthcare
- Overview of AI libraries: TensorFlow, Keras, and PyTorch.
- Using AI platforms like IBM Watson Health and Google Health AI.
Day 3: Advanced Topics and Hands-On Project
- Personalized Medicine with AI
- AI in genomics for tailored treatments.
- Drug discovery and development using AI-powered simulations.
- Building an AI-Powered Healthcare Solution
- Hands-on Project: Predicting patient readmission risks using healthcare data.
- Data preprocessing, building a machine learning model, and evaluating performance.
- Future of AI in Healthcare
- Emerging trends: AI in mental health, robotics in surgery, and telemedicine.
- Regulatory and ethical frameworks for responsible AI in healthcare.
Who Should Enrol?
- Healthcare professionals, doctors, and clinicians
- Data scientists and AI developers interested in healthcare
- Hospital administrators and healthcare IT managers
- Students and researchers in medicine, biotechnology, and computer science
Important Dates
Registration Ends
01/26/2025
IST 2:00 PM
Workshop Dates
01/26/2025 – 01/28/2025
IST 3:00 PM
Workshop Outcomes
- Comprehensive understanding of AI’s role and applications in healthcare
- Hands-on experience in building AI solutions for medical challenges
- Awareness of ethical and regulatory considerations in AI healthcare deployments
- Insights into future trends and innovations in AI-driven healthcare
- Skills to collaborate effectively in interdisciplinary AI healthcare projects
Fee Structure
Student
₹1999 | $45
Ph.D. Scholar / Researcher
₹2499 | $50
Academician / Faculty
₹2999 | $55
Industry Professional
₹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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