Top 12 Healthcare AI Companies in the U.S in 2026
Discover the top AI companies transforming healthcare
Artificial intelligence (AI) in healthcare is transforming the way providers deliver care and patients experience the healthcare system. From automating hours of clinical paperwork to spotting diseases in medical scans, healthcare AI companies are tackling many of medicine's greatest challenges.
However, with hundreds of companies offering healthcare AI solutions these days, what actually sets them apart? Below, we’ll explore the top healthcare AI companies, what makes them industry leaders, and the innovations reshaping modern healthcare.
How did we identify the top healthcare AI companies?
What characteristics separate the leaders from the rest? To find the answer, we used an evidence-based approach grounded in research.
A study published in Frontiers in Digital Health identified three essential categories of success factors for AI implementation in healthcare:
Policy setting
Technological implementation
Medical and economic impact measurement
Drawing on these findings and additional research, we evaluated companies based on five key criteria, listed in order of importance:
Clinical validation and real-world evidence. We assessed whether companies have FDA clearances and proven patient outcome improvements in real-world healthcare settings.
Scale of deployment and adoption. We looked at how many healthcare facilities actually use the technology beyond pilot programs, as many AI products are still in the design and development stage.
Technological innovation and safety. We evaluated whether the technology had strong data security, HIPAA compliance, and transparent decision-making, as these are strong determinants of success.
Healthcare system integration. We noted whether those AI systems seamlessly integrated with EHRs and clinical workflows.
Economic impact and sustainability. We assessed the companies' financial viability, potential for cost savings, and major health system partnerships. This helps quantify their value beyond simple medical metrics, like patient quality of life.
Top 12 Healthcare AI Companies
Based on the criteria above, we identified healthcare AI companies making the biggest impact across four significant areas of healthcare delivery.
Administrative and workflow automation
Healthcare providers spend countless hours on paperwork, phone calls, and administrative tasks that can take time away from patient care. However, these three selected companies utilize AI to automate the burden.
Abridge
By using AI to record and summarize doctor-patient conversations, Abridge automatically captures diagnoses, treatment plans, and medication instructions. This technology allows providers and patients to focus more on care and less on note-taking. In turn, organizations are able to improve accuracy, enhance patient understanding, and streamline clinical documentation.
Learn more about Abridge here >>
Notable
Said to automate over a million repetitive workflows daily across 10,000 care sites, Notable handles registration, scheduling, authorizations, and care gap closure. The platform is designed to decrease administrative burdens, freeing clinicians to focus on patient care.
Learn more about Notable here >>
HeyRevia
Founded in 2024 by ex-Google engineers, HeyRevia is a HIPAA-compliant, Y Combinator-backed company that automates complex phone calls, including insurance verification, prior authorizations, and billing inquiries. Their voice AI is claimed to handle hundreds of calls, texts, and emails at up to 500% of the output of traditional teams, thus freeing healthcare staff from time-consuming administrative work.
HeyRevia is a partner company of OpenLoop.
Learn more about HeyRevia here >>
Medical imaging and diagnostics
One of the most impactful uses of AI in healthcare is medical imaging. It’s transforming how practitioners detect diseases by analyzing medical images at speeds and with accuracies that can match or exceed those of human radiologists.
These companies are leading the transformation:
Aidoc
Specializing in AI-driven medical imaging solutions, Aidoc enables radiologists to identify critical conditions, such as strokes, pulmonary embolisms, and brain hemorrhages, in real-time. The platform flags urgent findings to allow faster clinical intervention, helping medical teams prioritize cases that need immediate attention. This innovation could save lives by enabling earlier detection.
Learn more about Aidoc here >>
PathAI
Focusing on AI-powered pathology, PathAI diagnoses disease from tissue samples by assisting pathologists in identifying patterns and abnormalities that the human eye might miss. The technology helps boost diagnostic accuracy and aids pathologists in working more efficiently, particularly in detecting cancer and other complex diseases at earlier, more treatable stages.
Learn more about PathAI here >>
Viz.ai
By using AI to analyze medical imaging, this company can detect time-sensitive conditions like strokes and immediately alert specialists. The platform also coordinates care teams and simplifies communication, helping reduce treatment times and improve patient outcomes in critical situations.
Learn more about Viz.ai here >>
Drug discovery and development
Traditional drug development takes over a decade and costs billions, but these healthcare AI companies are accelerating this process by identifying promising drug candidates in a fraction of the time.
Recursion Pharmaceuticals
Recursion transforms drug discovery by integrating biology, chemistry, automation, data science, and engineering. This approach to drug discovery uses massive datasets and learning cycles to decode complex biology, enhancing drug development and potentially bringing new treatments to patients faster.
Learn more about Recursion here >>
Insilico Medicine
Using AI-driven platforms to identify new drug candidates, Insilico Medicine accelerates development timelines by applying machine learning to predict how molecules interact with disease targets. This computational approach may cut years off traditional drug development processes and decrease the significant costs associated with failed drug compounds.
Learn more about Insilico Medicine here >>
BenevolentAI
By analyzing vast amounts of biomedica data, BeneloventAI identifies new drug candidates for diseases with high unmet medical needs. By identifying hidden patterns in scientific literature and clinical data, the company helps researchers discover novel treatment approaches that would otherwise go unnoticed.
Learn more about Benevolent AI here >>
Remote patient monitoring
Remote patient monitoring demonstrates how AI is being used in healthcare to extend care beyond clinical walls:
Biofourmis
Specializing in predictive analytics for cardiovascular and respiratory conditions, Biofourmis utilizes wearable technology to continuously monitor patient health in real time. The platform’s AI analyzes data to detect early signs of health deterioration, enabling more proactive interventions that can prevent hospitalization and improve patient outcomes.
Learn more about Biofourmis here >>
Current Health
Current Health uses wearable technologies and AI to continuously monitor patients outside the hospital. This allows practitioners to detect issues early, intervene proactively, and prevent unnecessary hospital visits.
Learn more about Current Health here >>
Livongo (Teladoc Health)
Focusing on chronic condition management, Livongo combines connected devices with AI-driven coaching to help patients manage hypertension, diabetes, and other chronic diseases. This solution provides personalized insights and up-to-date feedback to help patients make better daily health decisions and maintain control of their conditions.
What Does the Future Hold for Healthcare AI?
The healthcare AI companies mentioned here demonstrate just how AI is reshaping medicine from administrative workflows to life-saving diagnostics. However, the next few years are gearing up for a major shift, and it’s going to be “invisible”.
AI will likely shift away from being a point solution to becoming the glue between systems. Always on in the background but never in the way; working invisibly on the back-end. Curious to dive in a bit further? Check out our interview with HeyRevia CEO, Shaun Wei, predicting what’s next for healthcare AI.
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*This content is intended for general informational purposes only and should not be construed as legal advice. For guidance on your specific situation, please consult a licensed attorney.