AI-Powered Digital Pathology

Transforming Diagnostics with Deep Science AI: From Pixels to Prognosis

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Enroll now for early access of e-LMS

MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
1 Month

About

The integration of artificial intelligence into pathology represents a transformative shift in medical diagnostics. This program offers a deep science learning experience, focusing on AI model development, training, interpretability, and deployment within clinical workflows. Participants will be exposed to cutting-edge practices in transfer learning, ensemble modeling, and explainable AI (XAI) for pathology, ensuring a robust understanding of how technology augments traditional diagnostic tools.

Over four weeks, learners will explore regulatory compliance, ethical challenges, and medico-legal issues, balanced with practical case studies in oncology and dermatopathology. The course also covers future trends like federated learning and multi-modal imaging. This program is designed for those passionate about the future of medical diagnostics and innovation in healthcare.

Aim

To equip participants with comprehensive knowledge and practical expertise in building, validating, and deploying AI models for digital pathology, integrating ethical and regulatory frameworks, and exploring real-world clinical applications through hands-on learning and expert insights.

Program Objectives

Understand the principles of AI model development in digital pathology
Gain hands-on experience in CNN training, optimization, and transfer learning
Analyze regulatory and ethical implications in AI diagnostics
Examine real-world case studies and clinical deployment insights
Explore future technologies and career pathways in AI-driven healthcare

Program Structure

Week 1: Developing AI Models for Pathology

Data preparation, model selection, validation
CNN training and optimization
Transfer learning, ensemble models, XAI
Clinical workflow integration
Deployment challenges

Week 2: Regulatory and Ethical Considerations

Regulatory compliance and approvals
Ethical issues in AI diagnostics
Model interpretability and transparency
Bias and fairness management
Risk and medico-legal aspects

Week 3: Case Studies and Applications

AI applications in oncology
AI in dermatopathology
Digital diagnostics integration
Industry expert panel discussions
Clinical deployment insights

Week 4: Future Trends and Closure

Multi-modal imaging and federated learning
Future of AI in medical imaging
Career and research opportunities
Networking and program closure

Intended For

Undergraduate degree in Life Sciences, Biomedical Engineering, Pathology, Computer Science, or related fields.
Medical professionals, data scientists, and AI/ML engineers exploring healthcare.
Individuals with a keen interest in deep science innovation and digital health technologies.

Program Outcomes

Build and validate AI models for digital pathology
Navigate the ethical and regulatory framework for AI in diagnostics
Analyze and interpret deep learning model outputs
Integrate AI tools into clinical workflows
Prepare for careers in AI-powered medical diagnostics

Fee Structure

Standard Fee: INR ~~8,998~~ USD ~~198~~

Discounted Fee: INR 4499 USD 99

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