AI in Healthcare

Revolutionizing Healthcare with Intelligent Solutions

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MODE
Virtual (Google Meet)

TYPE
Mentor Based

LEVEL
Moderate

DURATION
3 Days

START DATE
26 -January -2025

TIME
3:00 PM IST

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.

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.

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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.

Intended For

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

2025-01-26
Indian Standard Timing 2:00 PM

Workshop Dates

2025-01-26 to 2025-01-28
Indian Standard Timing 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

INR. 1999
USD. 45

Ph.D. Scholar / Researcher

INR. 2499
USD. 50

Academician / Faculty

INR. 2999
USD. 55

Industry Professional

INR. 4999
USD. 75

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