How Vera Health Achieved State-of-the-Art Clinical Accuracy Using ZeroEntropy

Overview

Vera Health, an AI platform for medical professionals, set a new record on the US Medical Licensing Exam (USMLE) with 97.5% overall accuracy, surpassing OpenAI, Google, and Anthropic models. It also led benchmarks such as NEJM Q&A (84.9%) and MedXpertQA (62.2%), becoming the top-performing medical reasoning system in the world.

Behind this performance is ZeroEntropy’s Retrieval API, powering Vera’s real-time search and retrieval across more than 60 million peer-reviewed papers and clinical guidelines.

Challenge

Medical reasoning requires precision retrieval — not just memorization.

Traditional LLMs fail when:

• Answers depend on the latest research or treatment guidelines.

• Queries are nuanced, context-dependent, or multi-step (e.g., “Compare treatment options for stage 2 hypertension in smokers with COPD”).

• RAG pipelines return hundreds of irrelevant PubMed abstracts that overwhelm the model.

Vera’s goal was to make AI clinically useful — providing doctors with answers they can trust, based on the most current and authoritative sources.

Solution: Agentic Search Powered by ZeroEntropy

Vera integrates ZeroEntropy’s full-stack retrieval API — not only the reranker but also the fast agentic search pipeline.

Key elements:

• Dynamic multi-hop retrieval: Vera’s agent decomposes a clinician’s question into sub-queries (e.g., drug interactions, contraindications, dosing) and calls ZeroEntropy multiple times to gather evidence from PubMed and clinical guideline repositories.

• Precision reranking: ZeroEntropy’s reranker filters and orders results for clinical relevance, ensuring that only the top evidence-based snippets reach the LLM.

• Latency-optimized search: Designed for real-time use at the point of care — physicians receive reliable answers in seconds.

Results

Beyond raw accuracy, Vera reports:

• 2× faster inference latency for retrieval-augmented queries.

• >90% reduction in irrelevant citations returned per query.

• Stable clinical alignment with 2024–2025 treatment guidelines, verified by internal physician benchmarks.

Vera Sets New Record for AI on the US Medical Exam - Source: Vera Health

Why ZeroEntropy

“ZeroEntropy’s retrieval layer became the backbone of our reasoning system. It doesn’t just fetch documents — it thinks with us. The agent now knows exactly which papers and trials matter, which is why our answers feel like reading an evidence-based summary rather than an LLM guess.”

— Victor, Founding AI Engineer, Vera Health

Impact

Vera is now used by clinicians at institutions such as Mayo Clinic, Penn, and Yale, providing real-time, evidence-based recommendations.

By combining ZeroEntropy’s retrieval intelligence with Vera’s medical reasoning models, doctors can:

• Instantly verify treatment guidelines and contraindications.

• Generate differentials and dosing calculations backed by the latest literature.

• Improve patient outcomes through faster, safer decision-making.

About Vera Health

Vera Health builds the world’s most accurate AI medical assistant, trained on live scientific evidence and built with practicing clinicians. Backed by Y Combinator and Gradient Ventures (Google AI Fund).

About ZeroEntropy

ZeroEntropy develops state-of-the-art retrieval models for AI applications. Its search, reranking, and multi-query orchestration APIs enable the most advanced context-aware AI systems, from legal research to clinical reasoning.