Find AI that works for your practice.

Abridge uses ambient AI to record clinician-patient conversations and generate structured clinical notes. It captures details—chief complaint, history, assessment, plan-links each note section to the original dialogue. The system highlights next steps and integrates with EHRs for seamless documentation. Major health systems like Mayo Clinic and Johns Hopkins use Abridge to reduce documentation time and improve note quality.

Ai Functions: Speech-to-text, clinical NLP, linked evidence models

Aidoc develops FDA-cleared AI algorithms that automatically detect urgent findings—like strokes, pulmonary embolisms, intracranial hemorrhages, spine fractures, and abdominal free air—in CT scans. Integrated into radiology workflows, "Always-on AI" triages critical cases. Deployed in 900+ hospitals across the US, Germany, Israel, and others.

Ai Functions: Computer vision, deep learning

Asha Health enables medical practices to launch AI-driven virtual chronic care clinics to support patients between visits. It automates routine follow-up, lifestyle coaching, symptom tracking, and documentation through AI agents. Covered by Medicare CCM billing, it generates new revenue while easing clinician workload.

Ai Functions: LLMs, conversational agents, predictive modeling

Developed the Butterfly iQ, a handheld, ultrasound probe that connects to a smartphone –  it incorporates AI to assist clinicians with image acquisition and interpretation. Software includes AI tools such as an AI-powered bladder volume calculation, which automatically measures bladder volume from a sweep, and an AI cardiac ejection fraction estimator, which helps non-cardiologists assess heart function. The device’s app also provides guidance like optimal probe positioning and detects if the image is in plane. The portability and low cost (~$2k) of the Butterfly, plus its AI features, make point-of-care ultrasound far more accessible to private practices.

Ai Functions: Image recognition and measurement algorithms on-device/cloud

Commure provides AI copilots to automate note creation, coding, prior auth, and revenue cycle workflows, alongside ambient documentation. Their “Ambient AI” tool reduces charting time by 25% for OB-GYN clinics. Their RCM solution improves denial rates and AR days using LLM-based agents. Also offers dashboards for enterprise visibility, linking EHR, equipment, and operations data.

Ai Functions: LLMs, predictive models, NLP

DeepScribe offers an ambient AI operating system that handles both pre-visit chart prep and live, context-aware documentation during consultations. The tool provides real-time transcription, highlights HCC codes, and generates draft notes—and also connects insights at the right time to enhance clinical workflows.

Ai Functions: NLP, contextual AI

Offers AI-powered virtual assistant that automates documentation and triage for primary care. Patients chat with a 24/7 “AI doctor,” which gathers symptoms, suggests diagnoses, and drafts SOAP note for review. Human physicians finalize the plan or conduct a follow-up visit. AI flags emergencies, answers routine questions, and streamlines care; generating structured notes, supports efficient $39 telehealth consults with licensed doctors.

Ai Functions: LLMs, prompt chaining, multi-agent systems

Doximity is the largest online network for U.S. healthcare providers and offers digital tools to streamline clinical workflows. In 2023, it launched Doximity GPT, a HIPAA-compliant AI tool that helps physicians auto-generate routine documents like referrals, appeals, and discharge notes. These drafts are editable and can be sent via secure fax or email in minutes, saving doctors time and improving clarity in patient communication.
Ai Function: GPT-4 (fine-tuned), PHI-safe prompt wrappers

FDA-cleared digital stethoscopes paired with AI to detect heart and lung conditions at POC. Devices like the CORE 500™ work with the SENSORA™ platform to analyze heart sounds and ECG signals in seconds. Eko's AI detects murmurs, AFib, and in 2024 became the first to identify low ejection fraction via stethoscope. Clinicians get real-time diagnostic insights with 75–85% accuracy, transforming routine exams into powerful cardiac screenings.

Ai Functions: Deep learning, signal processing, CNNs

Fathom is an AI platform that automatically transcribes and codes medical procedures and visits for billing. It applies deep learning to physician documentation to assign the correct CPT, ICD-10, and modifier codes, aiming to streamline the coding and billing process. The AI continuously learns from coding experts and adapts to each practice’s patterns. In a private practice, this can eliminate or augment the need for certified coders to manually code each encounter, which is especially helpful in high-volume specialties like radiology, emergency, or multi-specialty clinics. It can also catch missed codes (like add-on codes) to maximize revenue capture.

Ai Functions: Natural Language Processing on clinical text; deep learning models trained on millions of coding examples.

Automates documentation tasks for physicians through ambient AI-powered scribing. The system transcribes and summarizes live patient consultations into structured notes, referral letters, treatment plans, and billing documentation. The platform integrates with EHR systems like Epic, Athenahealth, MediRecords, and others. It maintains compliance with HIPAA, GDPR, SOC 2, and ISO certifications, and supports over 1 million patient interactions weekly.

Ai Functions: LLMs, NLP, machine learning

Infinitus offers an AI voice agent (“Eva”) that automates routine phone calls to insurers, pharmacies, and patients. It uses NLP to speak, listen, and navigate calls like a human—verifying insurance, checking prior auths, following up on claims, and logging results into your system. For private practices, it reduces staff time spent on hold and streamlines admin workflows with 24/7 coverage.

Ai Functions: Natural language understanding (speech-to-text) + speech synthesis; custom healthcare dialogue management AI

Offers an AI-powered primary care platform that assists physicians with diagnostic suggestions, treatment plans, and documentation. Uses chat-based intake and a physician-facing co-pilot. The platform synthesizes patient input and EHR data into a structured pre-visit chart. Uses large language models and clinical NLP trained on vast medical datasets to provide real-time diagnostic support and care plan suggestions.

Ai Functions: LLMs, NLP, predictive models trained on de-identified clinical notes

Notable Health uses AI to automate patient intake, insurance checks, scheduling, reminders, and billing queries. Its digital assistant interacts via text, email, or voice, completing tasks like pre-visit forms and rescheduling. Data flows directly into the EHR, reducing manual work. For private practices, Notable cuts admin time and improves patient satisfaction with fewer phone calls.

Ai Functions: AI-powered RPA (natural language understanding for patient messages, bots for EHR actions).

Paige is a leading provider of AI in pathology, using deep learning to assist in detecting cancer and other abnormalities on digitized tissue slides. Focused initially on prostate cancer, breast cancer, and colon cancer, Paige’s FDA-approved AI can scan whole-slide images and highlight areas suspicious for tumor, helping pathologists avoid misses and improve efficiency.  Paige’s AI can reduce turnaround time and help standardize quality, especially useful as labs face workforce shortages.

Ai Functions: Deep neural networks (CNNs) for gigapixel image analysis; trained on tens of thousands of slides with confirmed pathology.

Qure.ai uses FDA-cleared AI to interpret chest X-rays and head CTs in under a minute. It detects TB, pneumonia, bleeds, strokes, and more. Ideal for urgent care, radiology, and rural settings, Qure integrates with PACS or handheld X-rays to support fast, accurate decisions when radiologists aren’t available.

Ai Functions: Convolutional neural networks for image analysis (trained on 7M+ images); specialized models per anatomy.

A voice-enabled AI assistant that helps physicians complete documentation faster-transcribing spoken notes directly into the EHR. Ambient technology captures medical details and generates SOAP notes, orders, and referrals. Integrated with major EHRs (Epic and athenahealth) Suki reduces documentation time by ~70%. It learns each preferences and supports voice commands. Allows physicians to focus more on patient care and less on admin work.

Ai Functions: Speech-to-text, NLP, medical language models

Sully.ai provides AI-powered agentic teams that automate clinical and administrative tasks across the patient care journey. Their platform includes virtual agents such as medical scribes, receptionists, nurses, and coders, all designed to integrate with existing EHR systems. Sully.ai aims to make physicians "superhuman" by reducing administrative burden and enhancing care delivery. The company is backed by top accelerators like Y Combinator and serves over 300 healthcare organizations.

AI-native practice management platform built for private practices. Unifies EHR, practice management, and patient engagement in one system. Its clinical co-pilot uses AI to analyze labs, lifestyle inputs, and wearable data, surfacing personalized treatment recommendations. Routine tasks like intake, scheduling, billing, and charting are automated. Patients stay engaged via a mobile app offering real-time tracking and AI-generated wellness guidance.

Ai Functions: NLP, ML, LLMs, voice recognition

An AI-powered platform that identifies urgent medical conditions on imaging and coordinates care team activation. The algorithms analyze CT/MRI scans for signs of large vessel occlusion stroke, pulmonary embolism, aortic dissection, and other time-sensitive findings. It now has FDA clearances for PE, cerebral aneurysm, intra-cranial hemorrhage, and even cardiology modules (like detecting early heart failure signs on CT).

Ai Functions: Deep learning for image analysis + workflow automation.

A healthcare RPA (Robotic Process Automation) and AI company that automates repetitive administrative processes, with a focus on revenue cycle management (RCM) tasks. Acts like a digital workforce that can log into EMRs, billing systems, and payer portals to execute tasks- insurance eligibility checks, prior authorization submissions, claims status follow-ups, and data entry between systems. It can read and extract data from documents and make simple decisions (e.g., routing a claim denial to the right work queue).

Ai Functions: Robotic process automation with AI (computer vision to use GUIs, NLP for data capture, machine learning for rules).