Participated · Series C · Jan 2025

Rad AI develops generative AI products for radiology, including Rad AI Impressions, Rad AI Reporting, and Rad AI Continuity, that are embedded into radiologists' workflows. Its Impressions product automates the impression section and saves radiologists more than an hour per shift on average. Rad AI Reporting includes features such as Omni Unchanged and Omni Report, which cut follow-up dictation time by 50%, reduce spoken words by 90%, and can double reporting speed. Rad AI Continuity automates tracking and coordination of incidental findings and has improved follow-up exam completion rates from approximately 30% to over 75% at users. The platform is trusted by thousands of U.S. radiologists and supports providers responsible for nearly half of all imaging volume in the U.S. The company is scaling enterprise deployments across hospitals and clinics with health-system partners to expand adoption and improve care coordination and efficiency. Rad AI develops generative AI solutions for radiology including Rad AI Impressions, Rad AI Reporting, and Rad AI Continuity that automate draft report text, reduce dictated words, and close the loop on actionable findings. Its flagship Rad AI Reporting can reduce dictated words by up to 90% and save providers up to 50% of their time; Rad AI Continuity has raised follow-up rates at health systems from about 30% to 75% or more. The company's products are used by thousands of U.S. radiologists daily and are deployed at health systems and practices that account for nearly 50% of U.S. medical imaging. Rad AI says it was the first to commercialize a generative AI product in healthcare and has been recognized by CB Insights and AuntMinnie for its products. The company is hiring across roles and plans to accelerate development and deployment of its generative AI technology to healthcare providers and systems globally. Rad AI builds software that generates radiology reports, aiming to cut the time radiologists spend on documentation. The company developed a proprietary LLM trained on radiology report datasets to automate findings and impressions. Rad AI says it began using LLMs in 2018 and positions itself as an early adopter of generative AI in radiology. Its products are used by about a third of U.S. health systems and nine of the 10 largest radiology groups. The company has raised over $80 million in total capital after a $50M Series B and plans to use the fresh funding to build a team to deploy a standalone radiology reporting solution. Rad AI is hiring staff to install and maintain the software and reports it has not lost a single customer since launch. Rad AI provides an AI platform that automatically generates customized impressions from dictated findings and clinical indications, learning each radiologist’s language preferences from prior reports. Its core offerings, Rad AI Omni and Rad AI Continuity, aim to improve report accuracy and consistency, surface significant incidental findings, and provide guideline-based follow-up recommendations. Omni injects the impression directly into the practice’s voice recognition software without extra clicks or windows, while Continuity closes the loop on follow-up by integrating into health systems’ EMRs and offering an outpatient platform. The company emphasizes time savings for radiologists, improved report processes, and reduced burnout. Rad AI is working with seven of the ten largest private radiology practices in the U.S. and plans to use new funding to further develop and commercialize its products. Rad AI, founded in 2018 by Doktor Gurson and Dr. Jeff Chang in Berkeley, Calif., builds machine-learning tools to automate repetitive radiology tasks. Its first product automatically generates the impression section of radiology reports, customized to each radiologist's preferred language. The company raised $4M in seed funding to build out its engineering team and expand the rollout of its first product to more radiology groups and customers. The round was led by Gradient Ventures, with participation from UP2398, Precursor Ventures, GMO Venture Partners, Array Ventures, Hike Ventures, Fifty Years VC and various angels. Current partners include Greensboro Radiology, Medford Radiology, Einstein Healthcare Network and Bay Imaging Consultants, along with other radiology groups yet to be announced.

Participated · Series B · Sep 2021

Xealth is a Seattle-based company that develops digital health enablement solutions for health systems. Its platform allows providers to prescribe and monitor digital health content, apps, and services as easily as medications. The platform incorporates custom data and analytics so health systems can track, analyze, and evaluate digital health use through its integration platform. Led by CEO Mike McSherry, Xealth reports 12 million orders sent, 100,000 providers engaged, and three million patients reached to date. The company received an investment from Morningside Ventures and intends to use the funds to expand operations and its development efforts. The amount and instrument of the investment were not disclosed in the announcement. Xealth provides a platform that centralizes integration, prescribing, monitoring and governance for digital health tools within clinician workflows. The platform is tightly integrated with EHRs and has full integrations with the largest EHR vendors. It is available to more than 100,000 physicians and its deployments demonstrate a 50–80% reduction in integration and deployment costs while driving substantial patient engagement. Xealth is backed by health systems and strategic investors, including Cerner, Novartis, Philips, ResMed, McKesson Ventures, Threshold Ventures and LRV Health. The company plans to use the new funding to roughly double its team and to fund product innovation, including enhancements to its intelligence engine to better match tools to patients and scale deployments across the U.S. Spun out of Providence St. Joseph Health in 2017 and based in Seattle, Xealth has raised $52.6 million to date. Xealth provides a platform that enables health systems to organize, integrate, deploy and activate digital health tools and programs. Through the platform, clinicians can find and order digital health tools directly from the EHR workflow, send those digital orders to patients' smartphones or desktops, monitor patient engagement and analyze the effects of more engaged patients. The company raised an additional $3M in its Series A, bringing the round to $14M total, and intends to use the funds to advance development and deployment of its platform for digital health programs. Xealth spun out of Providence St. Joseph Health in 2017 and is led by CEO Mike McSherry; it is based in Seattle, Washington. It works with health systems including UPMC, the Froedtert and the Medical College of Wisconsin health network, Duke Health and other leading health systems. Xealth is a digital prescribing platform that enables clinicians to integrate, prescribe and monitor digital health tools for patients from their EHR workflows. Its platform supports patient education, online third-party apps and programs, device monitoring, and non-clinical services such as ride shares, food delivery and e-commerce recommendations. Care teams and physicians can monitor patient engagement and analyze the effects of more engaged patients. Originally incubated and spun out of Providence St. Joseph Health in 2017 and led by CEO Mike McSherry, the company is based in Seattle, WA. Xealth works with health systems including UPMC, the Froedtert and the Medical College of Wisconsin health network, Baylor Scott and White, and Duke. The company raised $11m in a Series A to accelerate expansion of its platform. Xealth is launching a digital prescribing and analytics platform that lets physicians and clinicians prescribe and track educational health content, disease-management apps, and monitoring devices directly from their EMR charting interface. The platform aggregates and filters a variety of content sources into a care provider’s existing EMR workflow, simplifying creation of a customized patient experience. Clinicians can discuss digital tools during appointments, track patient usage afterward, and schedule reminders to encourage engagement. Patients access prescribed digital health tools through their health system’s secure patient portal. Xealth was founded in 2016 by Mike McSherry and was incubated within Providence’s Digital Innovation Group. The company has raised $8.5M to support launch and expansion with participating health systems planning broader integration and use of third-party digital solutions.