Summary of Cognet-md, An Evaluation Framework and Dataset For Large Language Model Benchmarks in the Medical Domain, by Dimitrios P. Panagoulias and Persephone Papatheodosiou and Anastasios P. Palamidas and Mattheos Sanoudos and Evridiki Tsoureli-nikita and Maria Virvou and George A. Tsihrintzis
COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain
by Dimitrios P. Panagoulias, Persephone Papatheodosiou, Anastasios P. Palamidas, Mattheos Sanoudos, Evridiki Tsoureli-Nikita, Maria Virvou, George A. Tsihrintzis
First submitted to arxiv on: 17 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Large Language Models (LLMs) are revolutionizing Artificial Intelligence (AI), with applications in medical diagnosis. COGNET-MD is a novel benchmark for evaluating LLMs in the medical domain, comprising a scoring framework and database of Multiple Choice Quizzes (MCQs). The scoring framework assesses LLMs’ ability to interpret medical text, while MCQs were constructed with medical experts in Psychiatry, Dentistry, Pulmonology, Dermatology, and Endocrinology. The COGNET-MD database is designed to be expanded to include additional medical domains. This paper outlines the toolkit’s potential for aiding doctors or simulating a doctor’s workflow. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about using special computers called Large Language Models (LLMs) to help doctors make better diagnoses. The LLMs are really good at understanding language and can even do tasks that humans do, like reading medical texts. The researchers created a special tool called COGNET-MD that helps test how well the LLMs understand medical text. They also made a bunch of questions (MCQs) with the help of real doctors to make sure it’s accurate and safe. This tool can be used to help doctors or even simulate what a doctor would do. |
