Rad AI Continuity
Automate your patient follow-ups - closes the loop on follow-up recommendations for significant incidental findings
Company profile
Company profile
Rad AI empowers physicians with best-in-class AI radiology solutions to save time, reduce burnout, and improve patient care using generative AI models trained specifically for radiology.
Company description Rad AI official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas deployment with recorded integration context.
Recorded integration context: EHR systems, PowerScribe 360, VR software (voice recognition).
Company milestones
Series C funding $60M (January 2025), Series B funding $50M (May 2024), #19 on Deloitte Technology Fast 500 (November 2024), first international partnership (July 2024), Partner Summit (October 2024), Rad AI Impressions surpassed 1M reports monthly (March 2023), acquired Equium Intelligence (November 2022)
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Automate your patient follow-ups - closes the loop on follow-up recommendations for significant incidental findings
Automate your radiology impressions - saves radiologists 60+ minutes per shift
Breakthrough radiology AI reporting platform built on generative AI that boosts productivity while minimizing fatigue
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
NPJ digital medicine · Apr 4, 2026
JACR Private Practice Perspective on On-Site Staffing Concerns.Journal of the American College of Radiology : JACR · Nov 1, 2025
The Integrated Stress Response Pathway Improves Aged Murine Muscle Stem Cell Activation and in vivo Regeneration.bioRxiv : the preprint server for biology · Sep 29, 2025
Methodological Challenges in Evaluating Large Language Models in Radiology.Radiology · Dec 1, 2024
Seeing the Unseen: Advancing Generative AI Research in Radiology.Radiology · May 1, 2024
Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review.The Lancet. Digital health · May 1, 2024
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Radiologist productivity improvement
Reduction in dictation burden
Radiologist satisfaction
Cumulative impact across customer base
Impression generation time
Quality and accuracy at high-volume sites
Follow-up tracking with Rad AI Continuity
Modernizing legacy radiology infrastructure and replacing PowerScribe 360
Deployed Rad AI solutions across entire imaging network as Microsoft sunsets PowerScribe 360
Managing high volume of high acuity cases
90-95% of impressions require no editing, ranked as must-have and top AI solution
Automating patient follow-ups for incidental findings
Automated majority of manual tasks related to patient follow-ups, giving clinical team more time to focus on patient care
Reducing radiologist fatigue and improving quality
Efficiency gains, quality gains, and reduction in fatigue
Management of incidental findings in radiology reports
Most automated and most comprehensive solution in follow-up management after evaluating every vendor
Achieving exponential efficiency gains with less perceived effort
Exponential efficiency gains with less fatigue, achieving flow state in reporting
Reducing radiologist burnout and boosting job satisfaction
Radiologists reported feeling less stressed with more time available to review studies, reduced burnout and boosted job satisfaction
Improved accuracy and efficiency in radiology reporting
Improved accuracy and efficiency with Rad AI Reporting
Improved visibility and safety net for patient follow-ups
Improved visibility over entire patient population to ensure patients feel informed and empowered
05 · Leadership
Leadership profiles and professional links from the current Company record.
No active leadership profiles are currently listed.
06 · Company updates
Recent articles published on Rad AI's official website.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Companies that apply AI to analyze medical images for diagnostic purposes, workflow optimization, or clinical decision support. Covers general radiology (X-rays, CT scans, MRIs, ultrasounds) across multiple organ systems, as well as specialized imaging in ophthalmology and dermatology.
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Linked research, clinical, and regulatory source pathways.
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Record-level provenance and review context.