Ep26: Transforming Healthcare: The Pioneering Role of LLMS in Medicine

06/05/2024 37 min

Listen "Ep26: Transforming Healthcare: The Pioneering Role of LLMS in Medicine"

Episode Synopsis

Summary:

AI News Update: This episode features groundbreaking developments in AI, including insights from Alibaba's latest model on Hugging Face, DoorDash's new Product Knowledge Graph, and recent research pushing the limits of AI in multimodal models and medical applications.
Exploring the Open Medical-LLM Leaderboard: A deep dive into the forefront of medical AI with highlights from cutting-edge studies such as "Capabilities of Gemini Models in Medicine".
Key Applications of LLMS in Healthcare: Focus on how large language models enhance medical procedures through Radiology Report Summarization, Discharge Instruction Generation, Named Entity Extraction, Relation Extraction, and Document Classification.

Tune in to understand how AI and LLMS are not just supporting but transforming healthcare practices, setting new benchmarks in medical diagnostics and patient care. Stay updated with the latest AI technologies and their practical applications in healthcare—subscribe now!

AI News:

Alibaba-NLP/gte-large-en-v1.5 · Hugging Face

Building DoorDash’s Product Knowledge Graph with Large Language Models

[2404.16821] How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

[2404.19756] KAN: Kolmogorov-Arnold Networks

[2404.18479] ChatGPT as an inventor: Eliciting the strengths and weaknesses of current large language models against humans in engineering design

[2404.17283] Reinforcement Retrieval Leveraging Fine-grained Feedback for Fact Checking News Claims with Black-Box LLM


References for main topic:

https://huggingface.co/spaces/openlifescienceai/open_medical_llm_leaderboard

[2404.18416] Capabilities of Gemini Models in Medicine

[2405.00465] BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine

[2405.00716] Large Language Models in Healthcare: A Comprehensive Benchmark





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