Best AI in Healthcare Companies in United States
The 192 best AI in Healthcare companies in United States in 2026, ranked by funding and momentum. Funding, investors, founders, valuation, tech stack and live signals. Top: Co Helm.
Here's where you come to find the best AI in Healthcare companies in the United States, ranked by disclosed equity funding and recent funding momentum across 192 tracked companies. Total disclosed funding sits at $43M, with Co Helm leading at $23M and Genoox close behind at $20M. Tight field. And with the global AI in Healthcare market projected to climb from $2.6B to roughly $100B by 2033 at a 50.23% CAGR, the gap between what's been raised here and what's coming is, frankly, staggering.
So what's actually moving? Median app installs across healthcare categories are up about 16% year-over-year, which tells you adoption is real, not just pitch-deck rhetoric. The hot research themes right now are vaccine candidates, immunogenicity, and vaccination campaigns, and LLMs are showing up everywhere from diagnostics to nutrition, reshaping how startups build product. Data privacy concerns remain the structural drag you can't ignore, especially as these companies scale. Backers like Sequoia Capital, New Enterprise Associates, and Mustafa Suleyman are already placing bets, and 2026's trend watch suggests the application gap is closing faster than most expect. I'd watch this cohort closely.
Ranked: Best AI in Healthcare companies in United States
| # | Company | Disclosed funding | Last round | Stage | Founder | Founded | Tech stack | Patents & IP focus | Recent signals |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Co Helm Generative AI for healthcare administration | $23M | 24 mo ago | Series A | Zahid Mahmood Co-Founder | 2022 | — | — | — |
| 2 | genoox Genoox uses the power of the community to make genomic data actionable with a mission to create the largest… | $20M | 25 mo ago | Series B | — | 2014 | TypeScriptTailwind CSSZone.js+16 | — | — |
| 3 | a.i.l.e.e.n.n. A.I.L.E.E.N.N.'s Brain is an Electronic Emulation of the human brain replicating a Neural Network. | — | — | Private | — | 2012 | — | — | — |
| 4 | advanced medical strategies Advanced Medical Strategies provides a suite of clinical &financial predictive analytical tools. | — | — | Private | — | 2003 | — | — | — |
| 5 | advinow medical SaaS Physician Artificial Intelligence Augmentation and Scribe System | — | — | Private | — | 2016 | — | — | 1 job opening |
| 6 | advocate Advocate is a groundbreaking AI driven platform that helps workers and veterans apply for government benefits… | — | — | Private | — | 2022 | TurbopackEmotionSentry+14 | — | — |
| 7 | aevus precision diagnostics Aevus Precision Diagnostics specializes in precision medicine, adverse drug reactions, machine learning, and… | — | — | Private | — | 2018 | — | — | — |
| 8 | aiberry Aiberry is a mental health screening tool powered by artificial intelligence for healthcare providers. | — | — | Private | — | 2019 | SentryNode.jsMUI+15 | 11 patents AI-driven multimodal mental health screening and monitoring platforms | — |
Top 2 AI in Healthcare companies in United States
#1
Series A · New York City, New York · founded 2022 · 8 employees$23.2Mraised▾
Developer of AI-powered workflow tools intended to reduce the administrative burden for nurses in the US healthcare system. The company offers technology for nurses that manages decisions, records, and treatment for thousands of patients every week, enabling nurses to spend time on patient outcomes and not on administration work.
#2
Series B · Palo Alto, California · founded 2014 · 40 employees$20Mraised▾
Developer of genomic analytics designed to translate complex genetic data into useful clinical information. The company's platform uses artificial intelligence and machine-learning algorithms to analyze rare genetic mutations and predict the probability that is responsible for a condition, enabling clinics to handle data from genetic screening with less time and improve patient outcomes with increased accuracy and efficiency.
Funding & investor landscape
How research on Medical Imaging AI is moving in the United States
A read on the academic research around Medical Imaging AI — which themes are gaining ground, the institutions and researchers driving them, and how the tone is shifting. Based on 634 United States-affiliated papers.
- University of Chicago61
- University of Oklahoma38
- University of Louisville33
- Northeastern University28
- University of Pittsburgh26
- Convolutional neural network8→15
- Image segmentation2→6
- Interpretability1→4
- Discriminative model2→4
- Lung cancer2→4
- Convolutional neural network9→15
- Transfer of learning2→6
- Radiomics2→4
- Breast ultrasound4→5
- Computer-aided diagnosis22
- Breast cancer9
- Medical physics8
- Mammography8
- Pattern recognition (psychology)4
Where medical imaging ai is researched across United States
Location clusters by institution affiliation — each city's volume, stance tone, and a quick read on its hot topic, what's advancing, the opening opportunity, and the main concern.
Who's filing medical imaging ai patents in the United States
United States medical imaging ai patent filing is accelerating — 241 filings from 104 assignees (2016–2025), led by Cleerly, Progenics Pharm, UNIV Arizona State; annual filings 7→35.
- Cleerly136
- Progenics Pharm25
- UNIV Arizona State13
- Ventana MED SYST12
- Harris11
- GE PREC Healthcare11
- Boroczky Lilla11
- Koninkl Philips Electronics10
Common questions
Rohit lives in the feed. He covers what's moving right now — the funding rounds, launches and shifts breaking across the trade press — and ties them back to where the sector is heading.