ChatGpt in Pathology: Your Questions Answered | AI in healthcare

Описание: Ever wondered about the next BIG thing in digital pathology?

Yes, you guessed it, it's ChatGPT, or isn't it?

Unlock the mysteries of how AI, especially potent large language models, is influencing the digital pathology landscape.

You will learn about ethics, challenges, and unparalleled potentials of generative AI in the vast healthcare domain.

🌟 Highlights:
LLM's explained
Ethical conundrums! Why AI in healthcare isn't just about tech but about trust.
AI's transformative promise: From turbocharging clinical documentation to reimagining patient relationships.
Why AI isn't just our future – it's ours NOW. But caution is the name of the game!
Peek into Aleks' toolkit: Recommendations and gems for tech enthusiasts!

💼📚 Elevate Your Digital Pathology Game:
1️⃣ Hungry for more? Subscribe and stay at the cutting edge of digital pathology revelations!
2️⃣ Join the elite circle at the Digital Pathology Club [https://digitalpathology.club/dp-club...] and pioneer the next wave of innovations.
3️⃣ Get ahead with knowledge! Snag your exclusive copy of the e-book "Digital Pathology 101" NOW!

//CHAPTERS:
00:00 - 02:23 - Introduction to "ChatGPT Conundrum".
02:24 - 07:11 - Inside ChatGPT: Training, biases, and ethical concerns.
07:12 - 11:59 - The challenge of referencing AI and adopting a risk-based approach to AI's challenges.
12:00 - 16:47 - Good laboratory practices with AI, its unpredictability, and the need for interpretations.
16:48 - 21:35 - The call for regulation in healthcare AI, and AI's ability to emulate authorial styles.
21:36 - 26:23 - AI's major concerns: data privacy, security, bias, and lessons from IBM Watson's case.
26:24 - 30:00 - The potential of AI in healthcare
30:01 - 32:23 - AI's role in modern medical diagnostics and potential for personalized patient care.
32:24 - 34:47 - The emergence of AI-driven tools in pathology and their transformative potential.
34:48 - 37:11 - Discussion on the limitations of AI, setting realistic expectations, and the future of AI in pathology.
37:12 - 38:00 - Final remarks and the importance of continued learning and engagement with AI in healthcare.

FREE RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS:

💻 Digital Pathology 101 E-book
https://www.aleksandrazuraw.com/digit...

This is hands down the BEST place to start when it comes to digital pathology that will bring you up to speed or structure your current knowledge and launch your expertise. Don't miss it!

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NEXT-TIER RESOURCES FOR DIGITAL PATHOLOGY TRAILBLAZERS:

💻 Pathology 101 for tissue image analysis
https://digitalpathology.club/dp-club...


Are you starting your journey in tissue image analysis and computational pathology and are confused about what exactly you are supposed to analyze on the whole slide image?
I am finishing a course for computer scientists and professionals starting their journey in image analysis for pathology. This course will help you understand tissue and pathology without the necessity to deeply understand medicine. Join now!

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RECOMMENDED BOOKS & THINGS:

📗 Artificial Intelligence and Deep Learning in Pathology: https://amzn.to/42dh4Xn
📙 The healing art of pathology: https://amzn.to/3pkUXjf
🔬Set of Histology Slides for Self-education and Teaching: https://amzn.to/44QIFPV
📱 My microscopic photography phone case: http://skopedmicro.com/1625068689/dig...
📷 My microscope camera (It's amazing!!!): https://imillermicroscopes.com/pages/...

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LET'S CONNECT ON SOCIAL:

🌎 Website: https://digitalpathologyplace.com/
#️⃣ Instagram:   / digital_pathology_place  
#️⃣ FB:   / digitalpathologyplace  
#️⃣ LinkedIn:   / aleksandra-zuraw-dvm-phd-dacvp  

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#DigitalPathology #AIInHealthcare #ChatGPT #GenerativeAI #EthicsInAI #MedicalTechTrends #DigitalHealthRevolution

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