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Hi!
Today is LLM’s day.
A day when I will only share Research, Tools, and News on Large Language Models.
But what are LLMs? Well, they are deep learning algorithms that can recognize, summarize, translate, predict, and generate content.
LLMs are trained on immense amounts of data, making them capable of understanding and generating natural language, images, code, and videos.
The most known is ChatGPT, but I’ll share some other LLMs with you, and their best use from my point of view.
Are you ready? Here we go.
✨LLMs
🔬 Methods
Data: 2,133 vignettes from the Human Diagnosis Project.
Participants:
Licensed Physicians
5 large language models (LLMs): Claude 3 Opus, GPT‑4, Gemini Pro, Mistral, and Llama 2.
Comparison groups:
Physician alone
Physician teams
Individual LLMs
LLM ensembles
Physicians + LLMs
📊 Results
Accuracy of diagnosis:
Physicians alone: 68.3%
Physician teams: 75%
LLM alone:
Claude 3 Opus: 72.1%
GPT-4: 71.6%
Gemini Pro: 69.2%
Mistral/Llama 2: <65%
LLM ensembles: 74.8%
Physicians team + LLM ensemble: 79.8%
Physician alone + LLMs: 80.4% (p<0.001)
Error correction:
Physicians corrected 58.7% of LLM mistakes
LLM corrected 61.3% of Physician errors
🔑 Key Takeaways
Physician + LLMs collectives outperformed all other groups.
Best performing LLMs: Claude 3 Opus, and GPT-4.
LLMs covered gaps where physicians make mistakes, and vice versa.
This research supports collaborative workflows in clinical settings.
🔗Zöller N, Berger J, Lin I, et al. Human–AI collectives most accurately diagnose clinical vignettes. Proc Natl Acad Sci U S A. 2025;122(24):e2426153122. doi:10.1073/pnas.2426153122
🦾TechTools
There are several LLMs; some of them are general, and there are also LLMs designed for clinical use.
The most well-known LLM is great for everyday tasks.
Versatile and conversational.
Good for creative writing and generating images.
It’s fast, which makes your work easier.
Is great at summarizing and analysing long documents (upload a paper and ask questions about it).
Great for long, more professional writing, deep thinking, and clarity.
It spots ethical risks, and it’s fast too.
Good for complex medical cases.
Best for researching medical information that requires accurate references.
Can manage complex tasks and workflows (without having to explain every step).
Good at deep reasoning.
Great for automation and integration with other apps.
That’s all for now.
Would you like me to continue writing this email every week? You can hit reply with your answer.
If you know people in healthcare who would like to get updates on LLM news, feel free to share it by:
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Thank you!
Until next Wednesday.
Itzel Fer, MD PM&R
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