Note - These are live classes on Zoom. Exact schedule & Syllabus will be shared in respective Whatsapp Group.

 

Description:

This course is designed to provide doctors with a comprehensive understanding of deep learning techniques and their applications in the field of healthcare. Deep learning, a subset of artificial intelligence, has gained significant attention in recent years due to its ability to analyze large amounts of complex data and make accurate predictions. In this course, doctors will learn the fundamentals of deep learning algorithms, neural networks, and how to leverage these techniques to improve diagnosis, treatment planning, and patient outcomes. Through hands-on exercises and case studies, participants will develop the necessary skills to implement deep learning models in their medical practice.

Prerequisite - Intermediate level knowlege of Python & Basic Machine Learning knowlege is must

Key Highlights:

• Gain a deep understanding of deep learning techniques in healthcare
• Learn how to apply deep learning algorithms to enhance diagnosis and treatment planning
• Explore real-world case studies and examples in medical imaging and patient risk prediction
• Get hands-on experience in implementing deep learning models for medical applications

What you will learn:

• Learn the Fundamentals of Deep Learning Algorithms
  Understand the basics of deep learning, neural networks, and convolutional neural networks (CNNs). Discover how these algorithms are trained and how to optimize them for medical applications.
• Apply Deep Learning to Medical Imaging
  Explore how deep learning can be used to analyze medical images, such as X-rays, CT scans, and MRIs, for automated diagnosis, image segmentation, and disease detection.
• Utilize Deep Learning for Patient Risk Prediction
  Learn how deep learning models can be employed to predict patient outcomes, identify high-risk individuals, and optimize treatment plans based on clinical data and electronic health records.
• Implement Deep Learning Models in Medical Practice
  Gain practical experience in implementing deep learning models using popular frameworks like TensorFlow or PyTorch. Understand the considerations and challenges specific to healthcare applications.