AI-Powered Digital Pathology

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.

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.

• 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