The AI Revolution in Medicine (Pearson)
Friday, 03 May 2024

In this book, subtitled "GPT-4 and Beyond", Peter Lee, Carey Goldberg and Isaac "Zak" Kohane document their thoughts on their months of early access to GPT-4 and its momentous potential to improve diagnoses, summarize patient visits, streamline processes, and accelerate research. The book contains real GPT-4 dialogues, unrehearsed and unfiltered, brilliant and blundering alike, all annotated with context, candid commentary, real risk insights, and up-to-the-minute takeaways.

<ASIN:‎ 0138200130 >

 

Author: Peter Lee, Carey Goldberg and Isaac "Zak" Kohane
Publisher: Pearson
Date: May 2024
Pages: 304
ISBN: 978-0138200138
Print: ‎ 0138200130
Kindle: B0BXNVM6FC
Audience: General
Level: Introductory
Category: Artificial Intelligence

Topics include:

  • Preview a day in the life of a doctor with a true AI assistant.
  • See how AI can enhance doctor-patient encounters at the bedside and beyond.
  • Learn how modern AI works, why it can fail, and how it can be tested to earn trust.
  • Empower patients: improve access and equity, fill gaps in care, and support behavior change.
  • Ask better questions and get better answers with "prompt engineering."
  • Leverage AI to cut waste, uncover fraud, streamline reimbursement, and lower costs.
  • Optimize clinical trials and accelerate cures with AI as a research collaborator.
  • Find the right guardrails and gain crucial insights for regulators and policymakers.
  • Sketch possible futures: What dreams may come next?

 

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C# Programming, 3rd Ed (In Easy Steps)

Author: Mike McGrath
Publisher: Easy Steps
Date: April 2022
Pages: 192
ISBN: 978-1840789737
Print: 1840789735
Kindle: B09WPBZZCV
Audience: C# developers
Rating: 5
Reviewer: Mike James
An easy guide to C# - what could be better.



Algorithmic Thinking, 2nd Ed (No Starch Press)

Author: Dr. Daniel Zingaro
Publisher: No Starch
Date: January 2024
Pages: 480
ISBN: 978-1718503229
Print: 1718503229
Kindle: B0BZGZHK3B
Audience: C programmers
Rating: 4
Reviewer: Mike James
What exactly is algorithmic thinking?


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