OpenEvidence Launches EvidenceGrade™, Empowering Physicians To See the Strength of Cited Evidence Beneath Each AI Answer

{
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  "signal_type": "news",
  "signal_subtype": "launches",
  "detected_at": "2026-07-10T13:01:00+00:00",
  "company": {
    "name": "OpenEvidence",
    "domain": "openevidence.com"
  },
  "data": {
    "url": "https://www.prnewswire.com/news-releases/openevidence-launches-evidencegrade-empowering-physicians-to-see-the-strength-of-cited-evidence-beneath-each-ai-answer-302822750.html",
    "title": "OpenEvidence Launches EvidenceGrade™, Empowering Physicians To See the Strength of Cited Evidence Beneath Each AI Answer",
    "excerpt": "MIAMI , July 10, 2026 /PRNewswire/ -- OpenEvidence, America's most widely used medical knowledge platform, today announced EvidenceGrade, a new feature that grades and visualizes, in real time, the quality of the published evidence cited in - and used to inform - every answer. A well-known limitation of AI systems is that when summarizing multiple sources, they gloss over differences in the quality of those sources. In healthcare, this limitation has acute side effects: the difference between evidence from a randomized, blinded, placebo-controlled trial and evidence from a small observational study in a foreign population is the difference between what a physician can plausibly rely on to make a life-or-death treatment decision. EvidenceGrade by OpenEvidence advances medical AI by solving this problem: surfacing, quantifying, grading, and visualizing the quality of the evidence behind OpenEvidence answers - in terms of the safety with which physicians can apply that evidence in real-world clinical practice. EvidenceGrade gives clinicians an at-a-glance view of the strength of the published literature behind an OpenEvidence answer - adding a critical layer of context to aid in incorporating this evidence into high-stakes medical decisions. Developed by physicians and engineers at OpenEvidence, EvidenceGrade is a novel method that builds on the GRADE framework - the methodology...",
    "product": "EvidenceGrade",
    "summary": "OpenEvidence launched EvidenceGrade, a new feature that grades and visualizes the quality of published evidence cited in its medical knowledge platform's answers.",
    "location": "Miami, Florida, USA",
    "planning": false,
    "image_url": "https://mmx.prnewswire.com/media/MS1881000/OpenEvidence-Chart-1.jpg?id=OA2758496&p=facebook",
    "confidence": 0.95,
    "product_data": {
      "name": "EvidenceGrade",
      "full_text": "EvidenceGrade, a new feature that grades and visualizes, in real time, the quality of the published evidence cited in - and used to inform - every answer",
      "fuzzy_match": false,
      "release_type": "feature"
    },
    "product_tags": [
      "online_technology",
      "data",
      "medical"
    ],
    "published_at": "2026-07-10T13:01:00Z",
    "location_data": [
      {
        "city": "Miami",
        "state": "Florida",
        "region": "Northern America",
        "country": "United States",
        "continent": "Americas",
        "fuzzy_match": false
      }
    ],
    "effective_date": "2026-07-10",
    "article_sentence": "OpenEvidence, America's most widely used medical knowledge platform, today announced EvidenceGrade, a new feature that grades and visualizes, in real time, the quality of the published evidence cited in - and used to inform - every answer."
  }
}

curl https://signals.autobound.ai/v1/signals/fc670170-3aff-4bf9-8d6d-224b535dd004 \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"openevidence.com","limit":20}'