How I AI How a Doctor and Scientist Uses AI in Medical Imaging and Diagnostics
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Aug 5, 2025 Dr. Akash Parvatikar is a computational pathologist and medical imaging scientist with a Ph.D. in Computational Biology. He discusses how AI is revolutionizing cancer diagnosis, improving accuracy through digital pathology and remote capabilities. Akash shares insights on the risks of traditional workflows and how AI mitigates them, emphasizing the importance of explainability and regulatory compliance. He also touches on the potential of AI tools like Python and NumPy in enhancing medical practices, making cancer care more accessible and efficient.
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Journey Into Computational Pathology
- Akash Parvatikar transitioned from electrical engineering and information science into computational biology focused on cancer diagnosis.
- He developed AI solutions to reduce diagnostic disagreement among pathologists for pre-invasive breast cancer.
Digital Pathology Transformation
- Pathology is shifting from physical glass slides to digitized high-resolution images approved by the FDA since 2017.
- Digital pathology enables AI analysis and global data sharing, transforming cancer diagnosis workflows.
Trust and Regulation in Medical AI
- AI trust is critical in medicine; doctors need transparency on AI training, data origin, and failure modes.
- Regulatory approvals restrict AI use to specific populations or tasks, limiting generalization.