Asclevor Clinical Search
Search the world's clinical knowledge.
Clinical Search gives researchers and healthcare professionals a faster way to discover relevant clinical evidence, cases, and medical knowledge using AI-powered semantic search.
- 0.93
Progressive exertional dyspnea and bilateral lower-extremity edema in a 58-year-old man
Journal of Medical Case Reports · 2019 · PMID 31784915
A 58-year-old man presented with progressive exertional dyspnea and swelling of both ankles, symptoms that had worsened over several months…
- 0.86
Exertional dyspnea with preserved ejection fraction: a case-based diagnostic workup
European Heart Journal - Case Reports · 2021 · PMID 33748325
Dyspnea on exertion is a common presenting symptom. We describe a structured workup of exertional dyspnea in the setting of a preserved ejection fraction…
- 0.74
Natriuretic peptide-guided evaluation of chronic dyspnea in an older adult
BMJ Case Reports · 2020 · PMID 32409471
Chronic dyspnea in older adults spans cardiac, pulmonary, and anemic etiologies. Natriuretic peptide measurement narrowed the differential early…
Medical knowledge is vast. Finding the right evidence shouldn't be.
Clinical questions are rarely asked in the words the evidence was written in. Traditional keyword search matches strings — clinical reasoning needs meaning.
- Synonyms
- The same finding carries many names. Keyword search finds only the one you typed.
- Medical terminology
- Clinical language, abbreviations, and eponyms rarely match everyday query phrasing.
- Contextual meaning
- The same word can mean different things in different clinical contexts.
- Complex clinical questions
- Real questions combine findings, history, and course. Single keywords cannot express them.
- Relationships between concepts
- Conditions, symptoms, treatments, and evidence are connected. Keywords treat them as isolated strings.
How it works
From question to evidence in four steps.
- 01
Understand
Asclevor interprets the meaning and clinical context of a query — not just its words.
- 02
Retrieve
Relevant clinical information is retrieved from the underlying knowledge infrastructure.
- 03
Rank
Results are ranked according to semantic relevance to the query.
- 04
Explore
Investigate the underlying evidence, related cases, and connected knowledge.
Semantic search
Search by meaning, not just words.
A clinician thinks in exertional dyspnea. The chart may say shortness of breath on exertion. The literature may use neither. Lexical search stops at the string — semantic search follows the meaning.
Traditional keyword search
"shortness of breath after exercise" shortnessmatched verbatimbreathmatched verbatimdyspneano match — synonym missedexertionalno match — synonym missed
Documents using clinical terminology never appear — unless the strings coincide.
Asclevor Clinical Search
"shortness of breath after exercise" dyspneasynonym expansionexertional dyspneaconcept refinementrespiratory & cardiac etiologiesclinical contextrelevant clinical casescase-level retrieval
One query — the whole clinical concept space.
Capabilities
Built for clinical knowledge.
Clinical terminology
Built for the vocabulary of medicine — findings, presentations, and courses.
Semantic retrieval
Meaning-based matching between queries and published cases.
Case discovery
Surfaces clinically similar published patient cases, with source PMIDs.
Evidence exploration
Move from a result to the evidence and context around it.
Related concepts
Traverse conditions, symptoms, and presentations as a connected space.
High-dimensional embeddings
Queries and cases embedded with the BAAI/bge-small-en-v1.5 model.
Relevance ranking
Every result carries a transparent similarity score.
Medical knowledge infrastructure
Part of the Asclevor platform — not a standalone demo.
Use cases
One retrieval engine. Many clinical questions.
Research
Clinical Research
Find relevant cases and evidence faster — from a clinical question to comparable published cases.
Education
Medical Education
Explore clinical concepts and related cases through the published literature.
Life Sciences
Drug & Life Sciences Research
Accelerate medical literature and evidence discovery across therapeutic areas.
Intelligence
Healthcare Intelligence
Turn complex medical questions into structured knowledge discovery.
Clinical Search supports knowledge discovery. It does not diagnose, recommend treatment, or replace clinical judgment.
Built on Asclevor's medical intelligence infrastructure.
Clinical Search runs on the same infrastructure that powers the Asclevor platform: embedding-based retrieval, semantic ranking, and a growing index of published patient cases — with similarity scores and source PMIDs returned for every result.
- Cases processed
- 167,000+
- Cases indexed
- ~40,000
- Embedding model
- BAAI/bge-small-en-v1.5
Build Clinical Search into your own applications.
Clinical Search is designed to be consumed, not just visited. The Asclevor API exposes the same semantic retrieval that powers this product — one clean request, structured JSON, similarity scores and PMIDs included.
curl -X POST https://api.asclevor.com/v1/search \
-H "Content-Type: application/json" \
-d '{
"query": "progressive exertional dyspnea",
"limit": 10
}'import requests
response = requests.post(
"https://api.asclevor.com/v1/search",
json={"query": "progressive exertional dyspnea", "limit": 10}
)