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137 Listings in Healthcare AI Available
What is Therapixel? Therapixel is a French software company specializing in artificial intelligence applied to medical imaging. Its flagship product, MammoScreen, supports breast cancer detection in mammography screening. Key capabilities of Therapixel Lesion detection: finds suspicious soft tissue lesions and calcifications Malignancy assessment: characterizes and scores findings 2D and tomosynthesis: FDA clearance for 2D and digital breast tomosynthesis Priors and pre-reporting: case pre-check and pre-reporting features Clinical deployment: used across health networks Reader support: assists radiologists, not a replacement How Therapixel works MammoScreen analyzes mammogram images, detects suspicious soft tissue lesions and calcifications and assesses malignancy, presenting results to the radiologist. Updated versions add priors, case pre-check and pre-reporting. Who uses Therapixel? Therapixel reports a partnership with Mayo Clinic in June 2025 and with Onsite Women's Health in April 2025 for deployment across 150+ locations. Investors include Creazur, IT Translation, Omnes and M Capital. Therapixel pricing Therapixel does not publish prices. Licensing is quoted by the vendor. Therapixel alternatives Alternatives for imaging AI include Qynapse for neuroimaging and Optellum for lung cancer.
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What is Ibex Medical Analytics? Ibex Medical Analytics is an AI-powered diagnostics company that helps pathologists detect cancer and analyze tissue on digital slides. It offers Ibex Breast Suite, Ibex Gastric and Ibex Prostate. Key capabilities of Ibex Medical Analytics Cancer detection: Detects cancer and over a hundred other diagnostic features in multiple tissue types Gleason grading: Prostate grading support Nuclear grading: Grading assessment in breast pathology Perineural invasion: Detection of perineural invasion Tumor sizing: Measures tumor size Multi-tissue suites: Breast, gastric and prostate products How Ibex Medical Analytics works Digitized slides are analyzed by deep learning models trained on a dataset of over 10 million slides. The results appear for the pathologist, who confirms findings and makes the diagnosis. Who uses Ibex Medical Analytics? Pathology labs and health systems use Ibex, and the vendor calls itself the worldwide leader in live clinical rollouts. Ibex Medical Analytics pricing Ibex does not publish prices. Laboratories contact the vendor for a quote. Ibex Medical Analytics alternatives Alternatives include DeepHealth and Subtle Medical for imaging AI, and Cleerly for cardiac imaging. Ibex is specific to cancer pathology.
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Saaskart Market Grid™
Explore how leading Healthcare AI solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the Healthcare AI ecosystem.
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Navina
#1 in Healthcare AI
Best Value Healthcare AI
Mentalyc
From $15/mo
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See where healthcare ai fits in a complete stack, with the other software, AI agents and services each business needs.
What is DeepScribe? DeepScribe is an ambient AI medical scribe designed for specialty care, with a primary focus on oncology. It listens to patient visits, drafts clinical notes and supports coding, and the company says it operates across 90 percent of community oncology centers. Key capabilities of DeepScribe Ambient AI scribe: Captures the visit conversation and drafts the clinical note. SmartPrep: Pre-visit summaries pulling relevant clinical data. AI coding: Suggests E/M, ICD-10 and HCC codes. Customization Studio: Adapts note format to each clinician's workflow. EHR integration: Connects to oncology and general EHRs. How DeepScribe works The scribe records the clinician-patient conversation during the visit, converts it into a structured note and writes it into the EHR. SmartPrep assembles patient information before the visit, and the coding feature proposes billing codes. Clinicians review and sign the notes. Who uses DeepScribe? Oncology practices and other specialty clinics that want to reduce documentation time use it. The vendor lists OncoEMR, iKnowMed and Epic among the EHRs it integrates with. DeepScribe pricing DeepScribe does not publish pricing. It is sold to practices and health systems on a custom basis through the vendor's sales team. DeepScribe alternatives Nuance DAX Copilot is Microsoft's ambient scribe for health systems, Abridge focuses on ambient documentation for large systems, and Suki offers voice assistants for clinicians. DeepScribe is oncology-focused.
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What is Abtrace? Abtrace is a primary care automation AI agent offering an AI platform for GP practices that automates patient recall, chronic disease management and admin tasks. Based in London, United Kingdom, Abtrace helps NHS general practices automate primary care automation work and get results faster. Key capabilities of Abtrace Patient recall Clinical workflow automation Chronic disease management Practice analytics Symptom assessment Plain-language explanations How Abtrace works Abtrace takes data as input and produces actions and reports. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WhatsApp, iOS, Android and Web browsers, so the agent works inside existing workflows. Who uses Abtrace? Abtrace is built for NHS general practices. It suits teams that want patient recall and clinical workflow automation without adding headcount, while keeping people in control of review and final decisions. Abtrace vs Infinitus Abtrace is often compared with Infinitus. Abtrace stands out for patient recall and chronic disease management. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Axtria? Axtria is a life sciences analytics AI agent offering commercial analytics and AI software for life sciences sales, marketing and data management. Founded in 2010 and based in Berkeley Heights, New Jersey, USA, Axtria helps pharma and biotech commercial teams automate life sciences analytics work and get results faster. Key capabilities of Axtria Commercial data management AI insights for field teams Incentive compensation GenAI assistants Evidence traceability Compliance-ready outputs How Axtria works Axtria takes commercial data as input and produces insights and recommendations. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Veeva CRM, Salesforce, Medidata and Snowflake, so the agent works inside existing workflows. Who uses Axtria? Axtria is built for pharma and biotech commercial teams. It suits teams that want commercial data management and AI insights for field teams without adding headcount, while keeping people in control of review and final decisions. Axtria vs IQVIA Axtria is often compared with IQVIA. Axtria stands out for commercial data management and incentive compensation. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Deep 6 AI? Deep 6 AI is a clinical trial recruitment AI agent offering AI that searches EHR data to find eligible patients for clinical trials in minutes. Founded in 2015 and based in Pasadena, California, USA, Deep 6 AI helps health systems and trial sponsors automate clinical trial recruitment work and get results faster. Key capabilities of Deep 6 AI EHR patient matching Site feasibility Protocol insights Research network Evidence-linked outputs Scientific data integration How Deep 6 AI works Deep 6 AI takes EHR data as input and produces matches and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Benchling, Veeva, Medidata and AWS, so the agent works inside existing workflows. Who uses Deep 6 AI? Deep 6 AI is built for health systems and trial sponsors. It suits teams that want EHR patient matching and site feasibility without adding headcount, while keeping people in control of review and final decisions. Deep 6 AI vs TriNetX Deep 6 AI is often compared with TriNetX. Deep 6 AI stands out for EHR patient matching and protocol insights. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Earkick? Earkick is a mental health companion AI agent offering an AI mental health companion app that tracks mood and anxiety and offers real-time support conversations. Earkick helps individuals managing stress and anxiety automate mental health companion work and get results faster. Key capabilities of Earkick AI companion chats Mood and anxiety tracking Voice and video check-ins Breathing exercises Voice and text sessions Mood tracking How Earkick works Earkick takes text, voice and video as input and produces text and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as iOS, Android, Apple Health and Web browsers, so the agent works inside existing workflows. Who uses Earkick? Earkick is built for individuals managing stress and anxiety. It suits teams that want AI companion chats and mood and anxiety tracking without adding headcount, while keeping people in control of review and final decisions. Earkick vs Wysa Earkick is often compared with Wysa. Earkick stands out for AI companion chats and voice and video check-ins. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Ellipsis Health? Ellipsis Health makes Sage, a voice AI care manager that phones patients and health plan members for care management outreach. It uses patented vocal biomarker technology called the Empathy Engine to gauge emotional state during calls. Key capabilities of Ellipsis Health Outreach calls: automates high-volume care management calls Health risk assessments: structured assessments by phone Post-discharge follow-up: check-ins after hospital stays Care gap closure: outreach to close gaps in care Enrollment: member enrollment in programs Emotion-aware tone: adjusts approach to the patient's emotional state How Ellipsis Health works Sage calls members for triage, care coordination, disease management and enrollment, and its Empathy Engine, trained on millions of clinical patient calls, adapts tone to emotional state. A study with Highmark Health analyzed 2,007 case management calls to measure depression severity from voice. Who uses Ellipsis Health? Health systems and health plans running care management and population health programs. Salesforce, Khosla Ventures and CVS Ventures backed a $45M round, and HealthEdge has announced a partnership. Ellipsis Health pricing Ellipsis Health does not publish pricing. Contracts are quoted for health systems and health plans. Ellipsis Health alternatives Hippocratic AI offers voice agents for patient outreach, K Health and Eleos Health serve clinical care and behavioral health, and Lunit and DeepScribe address imaging and documentation.
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What is Riverain Technologies? Riverain Technologies is a chest imaging AI AI agent offering ClearRead AI for chest CT and X-ray that enhances nodule detection and reading efficiency. Founded in 2004 and based in Miamisburg, Ohio, USA, Riverain Technologies helps radiology departments automate chest imaging AI work and get results faster. Key capabilities of Riverain Technologies ClearRead CT Bone suppression X-ray Nodule detection Vessel suppression Regulatory-cleared algorithms Worklist prioritization How Riverain Technologies works Riverain Technologies takes image as input and produces image and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as PACS, DICOM, Epic and HL7 FHIR, so the agent works inside existing workflows. Who uses Riverain Technologies? Riverain Technologies is built for radiology departments. It suits teams that want ClearRead CT and bone suppression X-ray without adding headcount, while keeping people in control of review and final decisions. Riverain Technologies vs Optellum Riverain Technologies is often compared with Optellum. Riverain Technologies stands out for ClearRead CT and nodule detection. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Aktana? Aktana is a pharma engagement AI AI agent offering AI that recommends next-best actions for pharma field and omnichannel HCP engagement. Founded in 2008 and based in San Francisco, California, USA, Aktana helps pharma commercial teams automate pharma engagement AI work and get results faster. Key capabilities of Aktana Next-best-action suggestions Omnichannel orchestration Rep insights Veeva integration Evidence traceability Compliance-ready outputs How Aktana works Aktana takes CRM data and engagement data as input and produces recommendations. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Veeva CRM, Salesforce, Medidata and Snowflake, so the agent works inside existing workflows. Who uses Aktana? Aktana is built for pharma commercial teams. It suits teams that want next-best-action suggestions and omnichannel orchestration without adding headcount, while keeping people in control of review and final decisions. Aktana vs Veeva AI Aktana is often compared with Veeva AI. Aktana stands out for next-best-action suggestions and rep insights. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Hippocratic AI? Hippocratic AI develops generative AI healthcare agents that handle patient conversations by voice. The company describes its product as the safest generative AI healthcare agent, built on a constellation architecture of specialized support models. Key capabilities of Hippocratic AI Patient voice agents: 1,000+ agents across provider, payor and life sciences use Constellation architecture: 5.0T+ parameters with specialized support models for accuracy Nurse escalation: 31K+ patients escalated to nursing care Clinical validation: 7.7K+ US licensed clinicians on 775K+ test calls Provider agents: hospitals and health systems Payor and life sciences agents: insurers, pharma and device makers How Hippocratic AI works Agents place and answer patient calls for tasks such as follow-up and outreach, and escalate to a nurse when needed. The vendor states they do not diagnose or prescribe and do not handle hospice, mental health disorders or children under age two. Who uses Hippocratic AI? Hospitals, health systems, insurance companies and life sciences firms use it. The vendor reports 250M+ patient interactions, zero incidents of harm, a 30% readmission reduction, 60% vaccination goal completion and 12x average ROI, all vendor-reported. Hippocratic AI pricing Hippocratic AI does not publish pricing. Contracts are scoped with the vendor by use case and volume. Hippocratic AI alternatives Alternatives include Abridge for clinical documentation, Nuance DAX Copilot for ambient notes, Suki AI for voice documentation, Nabla for clinical assistants, and Ambience Healthcare for coding and notes.
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What is Sunoh.ai? Sunoh.ai is an AI medical scribe that listens during patient visits and converts the conversation into clinical notes automatically. It comes from the eClinicalWorks family and the vendor claims it saves providers 2+ hours daily on documentation. Key capabilities of Sunoh.ai Real-time transcription: Speech-to-text with medical terminology support. EHR-ready notes: Automatic clinical notes in compatible format. Order entry assistance: Labs, imaging, procedures and medications. Multilingual support: Accent recognition. Specialty templates: Customizable by specialty. Mobile and desktop: iOS, Android and desktop access. How Sunoh.ai works Sunoh listens during the encounter, transcribes it with medical terminology support, and drafts a clinical note in an EHR-compatible format. It can also assist with entering labs, imaging, procedures and medication orders. A browser extension covers EHRs without a direct integration, and the vendor states a HIPAA-compliant setup with Business Associate Agreements. Who uses Sunoh.ai? Physicians and practices using EHRs such as Epic, athenahealth, eClinicalWorks, Cerner, Allscripts, Amazing Charts, Meditech, ModMed, NextGen, Practice Fusion and Tebra. Sunoh.ai pricing Exact pricing is not disclosed on the page; users sign up or contact sales for details. Sunoh.ai alternatives Related tools include Abridge, Nuance DAX Copilot, Twofold, Scribeberry and ScribeHealth, which also draft notes from encounters.
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Healthcare AI applies machine learning and generative models to clinical and operational work, documentation, patient engagement, scheduling, and administrative automation, with safety, privacy, and compliance as the defining concerns. This guide explains what healthcare AI is, how it works, what matters, and how to choose one.
Healthcare AI applies machine learning and generative models to clinical and operational work, documentation, patient engagement, scheduling, and administrative automation, with safety, privacy, and compliance as the defining concerns. This guide explains what healthcare AI is, how it works, what matters, and how to choose one.
Healthcare AI covers tools that assist clinical and administrative tasks: ambient clinical documentation (AI scribes), patient engagement and triage chatbots, scheduling and intake automation, claims and revenue-cycle automation, and clinical decision support.
Most marketplace-relevant healthcare AI focuses on operational and administrative use cases, documentation, communication, and workflow, rather than autonomous diagnosis, which is heavily regulated.
The category is defined by stringent requirements: HIPAA and data privacy, clinical safety, accuracy, and regulatory compliance. Buyers weigh these alongside integration with EHR systems and measurable time or cost savings.
Depending on the use case, AI listens to and documents clinical encounters, answers patient questions and triages, automates scheduling and intake, or processes claims, surfacing outputs for clinician or staff review within compliant workflows.
Platforms combine speech and language models, EHR integration, knowledge grounding, and strict security and compliance controls, with human review for clinical content.
Healthcare organizations configure workflows, integrate with the EHR, and maintain oversight and compliance; AI handles documentation and routine tasks while clinicians and staff verify and decide.
AI scribes capture clinician-patient conversations and draft structured notes for review.
Chatbots answer questions, triage, and guide patients while protecting sensitive data.
Automate appointment scheduling, reminders, and intake to reduce administrative load.
Automate coding, claims, and billing tasks to reduce errors and denials.
Integrate with electronic health record systems so AI fits clinical workflows.
Encryption, access controls, BAAs, and compliance for protected health information.
AI documentation cuts charting time so clinicians focus on patients, not paperwork.
Automating scheduling, intake, and claims reduces staff workload and errors.
24/7 engagement and faster scheduling improve patient experience and access.
Automation reduces documentation and billing mistakes when properly reviewed.
Streamlined workflows free capacity across clinical and administrative teams.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| Ambient AI scribes | Clinical documentation | Practices to health systems | Cuts charting time | Clinician review required |
| Patient engagement AI | Chat, triage, communication | Any | Access and deflection | Safety and privacy critical |
| Administrative automation | Scheduling, intake, claims | Any | Reduces admin load | EHR integration effort |
| Clinical decision support | Evidence and risk surfacing | Health systems | Supports clinicians | Regulatory scrutiny; oversight |
Hospitals & Health Systems: Reduce clinician documentation burden and streamline operations at scale.
Physician Practices: Cut charting time and automate scheduling and intake.
Telehealth: Power patient engagement, triage, and virtual-visit documentation.
Behavioral Health: Ease documentation while protecting sensitive patient data.
Health Insurance / Payers: Automate claims, prior authorization, and member engagement.
Pharmacy: Automate communication, refills, and administrative workflows.
This is non-negotiable. Confirm HIPAA compliance, a signed BAA, and certifications for protected health information.
Verify accuracy and that clinicians review AI-generated clinical content; demand evidence and oversight.
Confirm integration with your EHR so AI fits clinical workflows rather than adding steps.
Check data handling, residency, retention, and whether data trains shared models.
Look for credible evidence of time or cost savings in settings like yours.
Understand per-clinician, per-visit, or volume pricing and how it scales.
Ambient documentation is becoming standard, materially reducing clinician charting burden.
Agentic administrative automation is streamlining scheduling, intake, and revenue cycle end to end.
Regulatory frameworks for clinical AI are maturing, clarifying safe deployment.
Buyers should prioritize HIPAA compliance, clinical safety and oversight, EHR integration, and credible evidence above all.
Healthcare AI applies machine learning and generative models to clinical and administrative work, ambient clinical documentation (AI scribes), patient engagement and triage chatbots, scheduling and intake automation, revenue-cycle and claims automation, and clinical decision support. Most practical deployments focus on operational and documentation tasks rather than autonomous diagnosis, which is heavily regulated.
It can and must be for handling protected health information. Compliant vendors implement encryption, access controls, audit logs, and will sign a Business Associate Agreement (BAA). HIPAA compliance and a BAA are non-negotiable requirements, never use a tool that won't sign a BAA for PHI, and confirm data handling and residency before adopting.
Autonomous diagnosis is heavily regulated and not how most healthcare AI is used. Clinical decision support tools can surface evidence and flag risks to assist clinicians, but a licensed clinician makes the diagnosis and decisions. Any clinical AI should keep humans in the loop and comply with applicable regulatory requirements.
Ambient AI scribes listen to the clinician-patient conversation (with consent) and generate structured clinical notes that the clinician reviews and signs. They aim to reduce documentation burden and burnout. Accuracy and clinician review are essential, and the tool must handle the conversation as protected health information under HIPAA.
It must be, given the sensitivity and regulation of health data. Confirm HIPAA compliance, a BAA, encryption, access controls, data residency, retention policies, and whether data trains shared models. Strong security, privacy, and compliance should outweigh other factors when evaluating healthcare AI.
Leading tools integrate with major EHR systems so documentation and workflows fit clinical practice rather than adding steps. Integration depth varies and can be complex, so confirm support for your specific EHR and how deeply the tool reads from and writes to it.
Common models are per-clinician (PEPM), per-visit/encounter, or volume-based, sometimes as add-ons within EHR or practice-management systems. Estimate your clinician count or visit volume, and weigh compliance, EHR integration, and evidence of savings alongside cost.
Make HIPAA compliance and a BAA, clinical safety and human oversight, and EHR integration your top criteria, then evaluate data privacy and residency, credible evidence of time or cost savings, and pricing. Pilot in a real clinical or operational setting and verify compliance and accuracy before scaling.
