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97: DigiPath Digest #5 (AI in Modern Medicine: Diagnostics and Healthcare Outcomes)
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Indhold leveret af Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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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