Medical LLM API on par with Google Med-PaLM 2. 92% USMLE accuracy
Hello HN! I’d like to share a medical question-answering API which has state-of-the-art performance on the USMLE self-assessment exam. You can try out the MediSearch API in 10 seconds in this Colab [https://tinyurl.com/medisearch-colab], or test the search engine live at MediSearch [https://medisearch.io]. See our API page [https://medisearch.io/api] to apply for access. Some technical highlights: 1. State-of-the-art accuracy of 92% on the USMLE self-assessment exam [https://tinyurl.com/medisearch-eval]. 2. Ranked 2nd on MedQA benchmark,…
Medical LLM API on par with Google Med-PaLM 2. 92% USMLE accuracy launched on August 7, 2023 with 17 votes, #1,562 of 4,347 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
MediSearch is a medical question-answering API that achieves 92% accuracy on USMLE self-assessment exams and ranks second on the MedQA benchmark. It is designed for developers building medical applications, such as chatbots or search features within healthcare software. The API provides answers with article references to support clinical decision-making and medical research.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hello HN! I’d like to share a medical question-answering API which has state-of-the-art performance on the USMLE self-assessment exam. You can try out the MediSearch API in 10 seconds in this Colab [https://tinyurl.com/medisearch-colab], or test the search engine live at MediSearch…
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MediSearch OpenAI GPT & Apps2024 · chatgpt.com · ▲3Direct science-based answers to medical questions

Search engine for trustworthy medical information2023 · medisearch.io · ▲5Hi HN, I’d like to share MediSearch with you. A few months ago, I had a knee injury and got several surgery options from doctors. I had to make an important decision, but the medical information search experience was terrible. The sites I found either did not answer my questions (long health blogs) or were too technical to easily understand (scientific papers). This gave me and my friend the idea for MediSearch. Our goal is to build a system that provides direct accurate answers to medical questions based on trustworthy sources. We’d like to make MediSearch helpful to everyone and we still…
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I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
Weaviate – Build your own generative health search engine2023 · github.com · ▲39We are super excited to release our latest open-source demo, Healthsearch. This demo decodes user reviews of supplements and performs semantic- and generative search on them, retrieving the most related products for specific health effects, and leveraging Large Language Models to generate product and review summaries. The demo can understand natural language queries and derive all search filters directly from the context of your query.
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