Henry Ford Health and Michigan State University Health Sciences invested in two early-stage medical device companies, Teladoc Health launched a new AI-backed virtual care model that puts all fees at risk, and Bunkerhill Health closed a Series B round, bringing its total funding to $55 million. The three announcements, made in late July, highlight the accelerating push to integrate artificial intelligence into clinical and operational workflows across healthcare.
Henry Ford, MSU fund heart valve detection and radiation imaging
The Henry Ford + MSU Innovation Fund selected LightHearted AI and M3D as its first investments, the organization said July 30. LightHearted AI is developing a non-invasive tool that uses visible light to detect heart valve disease. M3D is building radiation imaging technology to help clinicians identify radiation sources. The fund, launched last year with a $10 million commitment from Henry Ford Health, Michigan State University and the MSU Research Foundation, focuses on early-stage artificial intelligence, digital health, medical device, remote monitoring and precision medicine companies. It aims to help startups move from pre-seed through Series A.
Teladoc One puts fees on the line with AI-driven care coordination
Teladoc Health released Teladoc One, a virtual model that coordinates care through multidisciplinary teams supported by artificial intelligence. The company's Pulse intelligence engine analyzes clinical history alongside claims, pharmacy, medical record and device data. The goal is to spot patient needs earlier and make appropriate referrals, improving chronic condition management, the company said in a July 23 news release. Under the model, Teladoc places all of its fees at risk, tying payment to clinical outcomes and total cost-of-care performance. Programs will initially focus on populations with cardiometabolic needs, starting with select clients in September and expanding in January.
The growing reliance on AI tools in clinical settings underscores the need for healthcare professionals to understand these systems. Many are turning to AI for Healthcare Courses to build practical knowledge of how machine learning and data analytics are applied in medicine.
Bunkerhill Health raises $55M to safeguard AI at scale
Bunkerhill Health, an agentic AI company, said it has raised $55 million across seed, Series A and Series B rounds. The Series B closed July 16, led by Khosla Ventures and joined by existing investors Sequoia Capital, Felicis, Optum Ventures and Y Combinator. The funds will expand governance, monitoring and safeguards for health systems deploying AI at scale on Bunkerhill's Carebricks platform. Health system customers include Cleveland Clinic, the University of Texas Medical Branch in Galveston and Intermountain Health.
Why this matters for healthcare
These moves signal that AI in healthcare is moving beyond pilots and into the core of care delivery and payment models. Teladoc's shift to full risk-sharing means AI tools will be expected to produce measurable improvements in outcomes and costs. For healthcare professionals, the expansion of AI-driven diagnostics and care coordination will require new competencies in evaluating, trusting, and occasionally overriding algorithmic recommendations. Institutions that invest in workforce training now will be better positioned to use these tools safely and effectively.
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