DigiPath Digest #5 is ready as audio!
We explore how AI and image datasets can accelerate medical education for both radiology and pathology.
I review comparisons between the GPT-4 vision model and convolutional neural networks for neuropathological changes in the brain.
We explore how AI can potentially reduce healthcare costs, particularly in cancer risk discrimination.
Additionally, there's a focus on AI applications in digital urine cytology for bladder cancer diagnosis.
I also share personal updates, upcoming podcast guests, and my plans for utilizing YouTube content to create an educational course.
The episode wraps up with a lively discussion on integrating AI in clinical workflows and prioritizing patient care.
TIMESTAMPS:
00:00 Introduction and Podcast Updates
03:41 Guest Highlights and Personal Updates
06:33 Digital Self-Learning in Radiology
12:14 AI in Breast Cancer Risk Assessment
18:36 Comparing GPT-4 Vision and CNN in Neuropathology
21:58 Challenges in Lesion Identification
22:59 Few-Shot Learning in Neuropathology
24:42 AI in Bladder Cancer Diagnosis
29:48 Innovations in Digital Pathology
38:48 AI-Powered Clinical Workflows
44:42 Conclusion and Future Directions
TODAY'S ABSTRACTS & RESOURCES:
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