radiology-ai
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Qure.ai Learned the Hard Part of Medical AI Isn’t Reading the Scan - It’s Getting Anyone to Act on It
The Mumbai-born company had accurate algorithms, willing pilot sites and almost no habitual users. Its climb from $113,000 in annual revenue to 45 million lives touched is a lesson in why clinical workflow - not clever code - decides whether healthcare AI matters.
Hospitals Bought the AI. Ferrum Health Is Selling the Part That Makes It Work.
Clinical algorithms were multiplying while hospital adoption stayed stuck. Ferrum built the missing last mile - one private route to deploy many models, test them on local patients, and keep watching after launch.
Harrison.ai
Harrison.ai is a Sydney-based clinical AI company founded in 2018 by brothers Dr Aengus Tran and Dimitry Tran. It builds artificial-intelligence software that helps clinicians read medical images faster and more accurately - flagging urgent findings on chest X-rays and brain and chest CT scans, and streamlining pathology review. Its diagnostic products, radiology brand annalise.ai and pathology joint venture franklin.ai, are used at more than 1,000 healthcare sites across four continents, with regulatory clearance in 40-plus countries. The company positions itself as a builder of foundation models for medicine, releasing harrison.rad.1, a radiology-specific multimodal large language model. Harrison.ai raised a US$112 million Series C in February 2025 to fund a US expansion, taking total capital raised past US$240 million.
Voio
Voio is a Berkeley-based frontier AI lab building a unified reading platform for radiology. Spun out of UC Berkeley and UCSF, it develops the open-source Pillar family of models that interpret CT, MRI and X-ray scans across hundreds of conditions, aiming to help radiologists work faster without trading away accuracy. The company exited stealth in November 2025 with $8.6M in seed funding.
Bunkerhill Health
Bunkerhill Health is a San Francisco AI company building the 'system of action' for hospitals. Its Carebricks platform lets health systems create, share, and deploy AI agents that turn routine data - especially CT scans already sitting in the archive - into actionable clinical findings. Born out of Stanford's Center for AI in Medicine and Imaging, the company has racked up a string of first-in-class FDA clearances for opportunistic detection of cardiovascular and bone disease, and in 2026 secured a national CMS reimbursement pathway for AI cardiovascular analysis.
Clairity, Inc.
Clairity is a Boston-based healthtech company that built Clairity Breast, the first FDA-authorized AI platform that predicts a woman's five-year risk of breast cancer directly from a routine screening mammogram. Founded by Harvard radiologist Dr. Connie Lehman, the company turns images already sitting in the medical record into a forward-looking risk score, aiming to move breast care from late-stage detection toward early, equitable prevention.
Viz.ai
Viz.ai is an AI-powered care coordination platform trusted by over 2,000 hospitals across the United States. The company's suite of 50+ FDA-cleared algorithms analyzes medical imaging data in real time - detecting strokes, brain hemorrhages, aneurysms, pulmonary embolisms, and cardiac conditions - then instantly alerts the right clinical team so treatment can begin minutes faster. Founded in 2016 by neurosurgeon Dr. Chris Mansi and machine learning researcher Dr. David Golan, Viz.ai has grown into a platform covering 230 million lives, supporting 70,000+ healthcare providers, and partnering with 14+ leading pharmaceutical companies to accelerate drug development and patient access.