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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.
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
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Professional Certification Program
Week 1: Developing AI Models for Pathology
Week 2: Regulatory and Ethical Considerations
Week 3: Case Studies and Applications
Week 4: Future Trends and Closure
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
Standard: ā¹8,998 | $170
Discounted: ā¹4499 | $85
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