Related Experiment Video
Updated: Jun 3, 2026
07:30
Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
Published on: April 23, 2021
Utility of the Medical Knowledge AI Copilot, OpenEvidence: A Patient With 100 Cerebral Microhemorrhages
Amber N Navarra1, Salman Ikramuddin2, Steven M Greenberg3
1Psychiatry, Duke University School of Medicine, Durham, USA.
Cureus
|June 2, 2026
Summary
Artificial Intelligence (AI) tools like OpenEvidence can assist clinicians in managing complex cases of cerebral amyloid angiopathy (CAA) and mild cognitive impairment (MCI). While AI closely matched clinical decisions, areas for improvement in prognostication and risk assessment were noted.
Area of Science:
- Neurology
- Medical Informatics
Background:
- Cerebral amyloid angiopathy (CAA) presents significant diagnostic and therapeutic challenges, particularly when co-occurring with mild cognitive impairment (MCI).
- OpenEvidence (OE) is an AI-powered medical knowledge copilot that has facilitated over 100 million clinical consultations.
Purpose of the Study:
- To retrospectively evaluate the utility of OE as a clinical knowledge aid.
- To assess OE's performance in a case involving comorbid CAA and MCI.
Main Methods:
- A de-identified case summary of probable CAA with MCI was input into the OE platform.
- The AI-generated recommendations were compared against the actual diagnosis and care provided.
Main Results:
- OE's AI recommendations demonstrated a high degree of concordance with the established clinical diagnosis and treatment plan.
- Areas identified for potential enhancement include prognostication, geriatric risk-benefit analysis, and diagnostic terminology.
Conclusions:
- AI knowledge copilots like OE show promise in supporting point-of-care physician decision-making.
- OE can provide clinicians with valuable information, potentially broadening their considerations for patient care.