AI in Healthcare
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Course Overview
Workshop Registration End Date :2025-01-26
Program Syllabus
Module 1
About
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.
Module 2
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.
Module 3
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.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI in Healthcare
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 4
Workshop Structure
Module 5
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.
Module 6
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.
Module 7
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.
Module 8
Participant’s Eligibility
- 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
Module 9
Important Dates
Module 10
Registration Ends
2025-01-26
Indian Standard Timing 2:00 PM
Module 11
Workshop Dates
2025-01-26 to 2025-01-28
Indian Standard Timing 3:00 PM
Module 12
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
Module 13
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 14
Student
INR. 1999
USD. 45
Module 15
Ph.D. Scholar / Researcher
INR. 2499
USD. 50
Module 16
Academician / Faculty
INR. 2999
USD. 55
Module 17
Industry Professional
INR. 4999
USD. 75
List of Currencies
Module 18
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 19
Future Career Prospects
- AI Specialist in Healthcare
- Clinical Data Scientist
- Healthcare Technology Consultant
- Medical Imaging Analyst
- Research Scientist in AI-driven Drug Discovery
Module 20
Job Opportunities
- AI Developer for Healthcare Applications
- Hospital IT Manager for AI Integration
- Bioinformatics Analyst
- Telehealth and Remote Monitoring Specialist
- Regulatory Compliance Officer for AI in Healthcare
Module 23
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 24
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