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In the chaos of today’s emergency departments, critical cases are still missed. Until now.
The FDA just made history by granting Breakthrough Device Designation to Aidoc’s revolutionary multi-triage AI solution. This marks the first time the FDA has recognized an AI system capable of detecting multiple life-threatening conditions simultaneously within a single workflow. 🏥
Why this matters right now:
• Emergency departments are drowning. In 2025, over 25% of admitted patients wait 4+ hours for a bed, with many waiting beyond 24 hours.
• Physician and nurse shortages continue to worsen, creating dangerous bottlenecks in care delivery.
• Each minute counts for stroke, pulmonary embolism, and aortic dissection patients – conditions this AI can now flag instantly.
What makes this different from previous AI approvals is the comprehensive approach. Rather than requiring separate regulatory pathways for each clinical condition, the FDA is allowing parallel review of multiple indications in a single submission. This accelerates the path to implementation while maintaining rigorous safety standards.
The technology is built on CARE™, described as the first clinical-grade foundation model in healthcare with FDA-cleared solutions. It works through Aidoc’s aiOS™ platform, seamlessly integrating into existing hospital CT workflows.
Early adopters report that the system not only catches cases human radiologists might miss but also redistributes workloads to prioritize the most at-risk patients – effectively creating a safety net across the entire emergency care pathway.
This breakthrough comes at a critical moment for healthcare. With Aidoc’s technology already deployed in over 150 U.S. health systems and 1,600 hospitals worldwide, the potential impact is enormous.
The multi-triage approach could fundamentally transform how we manage emergency departments by providing consistent, 24/7 vigilance for the most dangerous conditions, regardless of staffing challenges or surging patient volumes.
What do you think? Is this the beginning of AI truly delivering on its promise in emergency medicine? Will this help solve the throughput crisis we’re facing in hospitals nationwide?
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Author:
CEO/Co-Founder @ Oatmeal Health | AI Lung Cancer Screening | Almost Became a Doctor | Engineer | Follow to Share What I’ve Learned Along the Way
I help patients get the care they need earlier, preventing late-stage cancer.
That’s been the throughline across three companies and almost 20 years in healthcare. At ReferralMD, we fixed broken referral networks so patients didn’t fall through the cracks. At Oatmeal Health, it’s lung cancer: building the diagnostic and screening infrastructure so the 85% of cases caught too late get caught early instead.
Today as CEO of Oatmeal Health, I lead a team embedding AI into radiology workflows to turn routine lung CT scans into reimbursable cancer risk assessments. We partner with FQHCs to reach underserved communities, and with health systems and payers to make early detection economically sustainable. Think HeartFlow or Cleerly, but for lungs.
Between companies, I advised at Techstars and Plug and Play, mentoring founders building in digital health. That experience shaped how I think about what separates companies that ship from companies that stall: distribution, reimbursement, and clinical trust, not just technology.
I’m a CancerX alumnus, a 3x healthcare founder, and someone who believes the biggest problems in cancer aren’t scientific. They’re operational.
We’re hiring mission-driven builders at Oatmeal Health. If you want to work on something that matters, reach out.
When I’m not working, I’m traveling, mentoring, and keeping up with one very energetic husky. 🐾
Substack – The Oatmeal Bite:
Millions of patients get less care because of who they are, where they live, or how they look. I’m fighting to change that. CEO @OatmealHealth, a startup built for the underserved. The Oatmeal Bite: intel for clinicians, investors, and advocates.
Jonathan Govette
CEO of Oatmeal Health
Substack:
https://oatmealhealthjonathangovette.substack.com/
