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97: DigiPath Digest #5 (AI in Modern Medicine: Diagnostics and Healthcare Outcomes)

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Manage episode 430892169 series 3404634
内容由Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM提供。所有播客内容(包括剧集、图形和播客描述)均由 Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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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:

Support the show

Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

  continue reading

112集单集

Artwork
icon分享
 
Manage episode 430892169 series 3404634
内容由Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM提供。所有播客内容(包括剧集、图形和播客描述)均由 Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Send us a text

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:

Support the show

Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

  continue reading

112集单集

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