Mass General Brigham has spun out AIwithCare, a company commercializing RECTIFIER, an AI tool that automates and enhances clinical trial patient screening using EHR data.
Key Details
- 1RECTIFIER, developed at Mass General Brigham, leverages Retrieval-Augmented Generation (RAG) AI to assess patient eligibility for clinical trials via EHRs, including unstructured notes and reports.
- 2In a 2024 NEJM AI study, RECTIFIER outperformed manual screening methods for a heart failure trial at lower cost.
- 3A randomized-controlled trial involving nearly 4,500 patients showed RECTIFIER doubled the enrollment rate compared to manual screening, with no differences across demographic groups.
- 4RECTIFIER is in use for over 20 clinical and research applications including oncology, neurology, pathology, and cardiology.
- 5Mass General Brigham Innovation facilitated the spinout, aiming for broader deployment across health systems via the AIwithCare platform.
- 6RECTIFIER is also being applied to population health and referral triage, showing >94% accuracy in select use cases.
Why It Matters
Accelerating and automating patient screening for trials using AI—including extraction from imaging reports—may boost trial efficiency, reduce research staff workload, and expand equitable patient access to advanced therapies. This reflects a broader trend of integrating AI into real-world clinical informatics, directly impacting radiology and multi-disciplinary care coordination.
Source
EurekAlert
Related News
•EurekAlert
AI and Advanced Microscopy Unveil Cell's Exocytosis Nanomachine
Researchers have discovered the ExHOS nanomachine responsible for constitutive exocytosis using advanced microscopy and AI-enhanced image analysis.
•EurekAlert
AI Reveals Key Health System Levers for Cancer Outcomes Globally
AI-based analysis identifies the most impactful policy and resource factors for improving cancer survival across 185 countries.
•EurekAlert
Stanford's SleepFM AI Predicts 130 Disease Risks from Polysomnography
Stanford researchers have developed SleepFM, an AI model that predicts over 100 diseases using one night of sleep study data.