Me

Medical LLM API on par with Google Med-PaLM 2. 92% USMLE accuracy

Hacker News

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, closely tailing Google's Med-PaLM 2 (within ~2%). 3. The API provides article references as an output. We’d love to hear feedback from this community! We’ve seen people use the MediSearch API to implement a chat bot or search field within their app. Please note that MediSearch does not have a 100% accuracy. Therefore, a human professional should always make a final decision on the information suggested by MediSearch. You can use the MediSearch API similarly to the OpenAI API [ https://pypi.org/project/medisearch-client/ ]. If you’d like access to the MediSearch API, please email michal@medisearch.io or visit our API page [ https://medisearch.io/api ]. Please specify your use case in the application.

Share card

Actual performance

17points
13comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, email, openai · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Me
MedAsk, Leader in Medical Triage Accuracy51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MedAsk, Leader in Medical Triage Accuracy

Hacker News1
AnyParser API
AnyParser API60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The first LLM for document parsing with accuracy and speed

Product Hunt+885API
LancetClaw
LancetClaw19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Illuminate the Fabric of Medical Integrity

Indie Hackers1ai
VenaCava
VenaCava31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Medical Supplies

Indie Hackers
BillVeil
BillVeil15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

See through every medical bill

Product Hunt+2
Op
Open-O3:Exponentially Improve LLM Accuracy via Probabilistic Resampling47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-O3:Exponentially Improve LLM Accuracy via Probabilistic Resampling

Hacker News3
Go
Google's Unofficial Bard (Palm-2) API55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Google's Unofficial Bard (Palm-2) API

Hacker News3
LLM API
LLM API84%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Use any LLM with just one API

Product Hunt+7
Ta
Taking an accuracy-first approach to LLM Development51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Taking an accuracy-first approach to LLM Development

Hacker News4
Le
Less‑filtered LLM chat and API50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Less‑filtered LLM chat and API

Hacker News1