Empower Your Medical Journey:
Harness the Power of AI in Healthcare
& Revolutionize Patient Care
Starts from
15th September 2023
Duration
3 Months
Day & Time
Every Saturday : 8PM to 9PM &
Sunday : 5PM to 6Pm
AI for Medical Professionals
Welcome, we explore the limitless possibilities of Artificial Intelligence (AI) in transforming the healthcare industry. Our mission is to empower medical professionals with cutting-edge AI technologies to revolutionize patient care. With AI’s ability to process vast amounts of data quickly and accurately, we help doctors enhance their diagnostic capabilities, leading to early detection and improved treatment outcomes. Our personalized medicine solutions leverage AI algorithms to analyze patient-specific information, tailoring treatment plans and predictive models to optimize healthcare strategies. By harnessing the power of AI-powered virtual assistants and chatbots, we streamline patient interactions, improve triage processes, and enable remote patient monitoring. Furthermore, we delve into AI-driven drug discovery, accelerating the development of new treatments and addressing unmet medical needs. Join us in embracing the future of healthcare, where AI empowers medical professionals to provide exceptional care and make a lasting impact on global well-being.
Unique for MedicalProfessionals
This course equips doctors with practical knowledge and skills in Feed-Forward Neural Networks (FNNs) and Convolutional Neural Networks (CNNs). Learners will gain a comprehensive understanding of these tools to analyze medical images, make accurate diagnoses, and assist in treatment decisions. The course emphasizes practical applications and real-world scenarios, without complex mathematics or extensive programming.
Unique for MedicalProfessionals
Course Designed
This course is designed for doctors and medical professionals interested in incorporating AI and deep learning techniques into their medical practice. It caters to individuals with varying levels of AI knowledge and focuses on practical applications rather than complex mathematics.
The course benefits doctors from various specialties and healthcare professionals involved in research, technology development, and management. It helps enhance diagnostic accuracy, improve medical image analysis, and explore advanced predictive modeling techniques using FNNs and CNNs.
Resource Person
Dr Rahul Dave
Chief Scientist, Univ.AI
Formerly Harvard University
Dr Ignacio Becker
Faculty Univ.AI
Dr Pavlos Protopapas
Founding faculty Univ.AI
Scientific Program Director of IACS & lecturer
Course Content
- Overview of neural networks and their relevance in healthcare application.
- Explanation of FNNs and CNNs and their distinct roles.
- Understanding the basics of FNN architecture and functionality
- Training and optimizing FNN models
- Practical exercises to develop FNN models
- Fundamentals of CNNs
- Feature extraction and pattern recognition using CNNs
- Hands-on exercises using pre-trained CNN models
- Evolution of SOTAs
- How to use a pre trained SOTA architecture
- Fine Tuning a pre trained SOTA architecture
- Examining practical examples of FNNs and CNNs in medical practice.
- Analyzing medical data and images using neural networks
- Identifying potential use cases for FNNs and CNNs in specific medical domains
