Summary of Digital Diagnostics: the Potential Of Large Language Models in Recognizing Symptoms Of Common Illnesses, by Gaurav Kumar Gupta et al.
Digital Diagnostics: The Potential Of Large Language Models In Recognizing Symptoms Of Common Illnesses
by Gaurav Kumar Gupta, Aditi Singh, Sijo Valayakkad Manikandan, Abul Ehtesham
First submitted to arxiv on: 9 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 The recent advancements in Large Language Models (LLMs) like GPT-4, Gemini, and GPT-3.5 offer a transformative opportunity in medicine and healthcare, particularly in digital diagnostics. This study evaluates each model’s diagnostic abilities by interpreting user symptoms and determining diagnoses that fit well with common illnesses. The results demonstrate how each of these models could significantly increase diagnostic accuracy and efficiency. GPT-4 shows higher diagnostic accuracy due to its deep training on medical data. Gemini performs with high precision as a critical tool in disease triage, while GPT-3.5 is a good tool for medical diagnostics. This study highlights the need for careful consideration of LLMs in healthcare and clinical practices, ensuring patient privacy and HIPAA compliance, as well as social consequences affecting individuals in complex healthcare contexts. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper explores how Large Language Models (LLMs) like GPT-4, Gemini, and GPT-3.5 can help doctors make better diagnoses using computers. The study shows that these models are very good at understanding what’s wrong with you when you tell them your symptoms. It looks at three of the most advanced LLMs: GPT-4 is really good because it has been trained on a lot of medical information, Gemini is super precise and can help doctors quickly figure out what’s going wrong, and GPT-3.5 is also pretty good. This study is important because it shows that computers could be a big help in making diagnoses, but we need to make sure that these models are used responsibly and don’t put patients’ information at risk. |
Keywords
» Artificial intelligence » Gemini » Gpt » Precision
