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137 Listings in Healthcare AI Available
What is Glass Health? Glass Health is a clinical intelligence platform for clinicians that combines ambient scribing with clinical decision support. It drafts three-tier differential diagnoses and assessment and plan text, and answers clinical questions. Key capabilities of Glass Health Ambient scribing: captures visit notes Differential diagnosis: three-tier differentials Assessment and plan drafting: drafts clinical reasoning Clinical Questions: answers medical questions EHR workflows: Epic, eClinicalWorks, athenahealth and Elation on Max Free Lite tier: limited scribing and decision support How Glass Health works During or after a visit, Glass listens to the encounter for ambient notes, then drafts a differential diagnosis and assessment and plan for the clinician to review. Clinicians can also ask Clinical Questions. The vendor home page did not load fully for us, so these details come from vendor resource pages and third-party summaries. Who uses Glass Health? Physicians and other clinicians use it. The free Lite tier lets clinicians try limited scribing and decision support without a card, and Max targets those needing EHR workflows. Glass Health pricing Third-party sources report Lite as free, Starter at $20 a month, Pro at $90 and Max at $200, with Max adding EHR workflows for Epic, eClinicalWorks, athenahealth and Elation. Confirm current prices with Glass. Glass Health alternatives Alternatives include OpenEvidence for clinical question answering, Freed for ambient scribing, Abridge for enterprise ambient documentation, Saama for clinical data analytics, and Deep 6 AI for trial matching.
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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
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Mentalyc
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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 H1? H1 is a HCP and trial intelligence AI agent offering a healthcare data platform with AI for finding HCPs, key opinion leaders and trial sites. Founded in 2017 and based in New York, New York, USA, H1 helps pharma medical and commercial teams automate HCP and trial intelligence work and get results faster. Key capabilities of H1 HCP and KOL profiles Trial site selection AI search over experts Engagement insights Evidence traceability Compliance-ready outputs How H1 works H1 takes healthcare data as input and produces insights and profiles. 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 H1? H1 is built for pharma medical and commercial teams. It suits teams that want HCP and KOL profiles and trial site selection without adding headcount, while keeping people in control of review and final decisions. H1 vs Komodo Health H1 is often compared with Komodo Health. H1 stands out for HCP and KOL profiles and AI search over experts. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Certara? Certara is a drug development solutions company that uses predictive simulation, data-driven modeling and AI to speed pharmaceutical development. It employs over 1,550 people across 30+ countries. Key capabilities of Certara Simcyp: Population-based pharmacokinetic modeling and simulation Phoenix: PK/PD and toxicokinetic analysis CoAuthor: GenAI-powered regulatory writing with templates D360: Scientific informatics for molecular analysis Pinnacle 21: Data standardization and validation GlobalSubmit: eCTD submission publishing and transmission Certara.AI: Life sciences-focused AI platform How Certara works Certara software covers discovery and preclinical biosimulation, clinical trial design and dosing, regulatory submission preparation and market access. CoAuthor drafts regulatory documents from templates, and scientists review the output. Who uses Certara? Biotech firms, large pharma and CROs. Certara says 90 percent of FDA novel drug approvals from 2014 to 2025 involved its customers, with 100+ novel drugs and 325 label claims approved using its technology instead of clinical trials. Certara pricing Certara does not publicly disclose pricing. Certara alternatives Alternatives include Simulations Plus for PK modeling, Aidoc for imaging AI, and Inato for trial site matching.
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What is Viz.ai? Viz.ai is an AI-powered care coordination platform for hospitals. It runs FDA-cleared algorithms on CT scans, ECGs and echocardiograms to flag suspected conditions and alert the right clinicians. Key capabilities of Viz.ai Viz LVO: Detects suspected large vessel occlusion stroke on imaging. Viz HCM: Reviews routine ECGs to find suspected hypertrophic cardiomyopathy. Imaging analysis: Analyzes CT, EKG and echocardiogram data. Care team alerts: Notifies specialists on the Viz mobile application. PACS integration: Connects to hospital imaging systems. Multi-specialty platform: Covers neurology and cardiology workflows. How Viz.ai works The platform pulls imaging and ECG data from hospital systems, runs its algorithms and flags suspected cases. Alerts and images go to the responsible specialists in the Viz mobile app so they can coordinate treatment. Clinicians review the images and make the diagnosis. Who uses Viz.ai? Viz.ai is used by hospital stroke, cardiology and radiology teams. Sources report more than 1,400 to 2,000 hospitals use the platform, and the vendor describes over 50 FDA-cleared algorithms. Viz.ai pricing Viz.ai does not publish pricing and sells to health systems by contract. For Viz LVO, CMS approved a New Technology Add-on Payment, which relates to reimbursement rather than the product price. Viz.ai alternatives Alternatives include Aidoc, which offers an imaging AI platform with a triage focus, RapidAI, which targets stroke and vascular imaging, and Brainomix, which focuses on stroke imaging software.
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What is Densitas? Densitas is a provider of AI solutions for digital mammography, based in Halifax, Nova Scotia. Its densitas densityai software gives automated, standardized and reproducible breast density assessments from standard DICOM mammograms. Key capabilities of Densitas Breast density assessment: Fully automated and reproducible results Two algorithms: Separate quantitative and qualitative density scales BI-RADS alignment: Matches ACR BI-RADS 4th and 5th edition classifications DICOM input: Works from standard clinical mammograms FDA clearance: densityai is FDA-cleared Marketplace access: Available on the Nuance AI Marketplace How Densitas works The software reads standard DICOM mammograms and produces density measures using two algorithms that separate quantitative and qualitative scales. Results support point-of-care density reporting, for example in the DIMASOS 2 screening trial clinics in Germany. Who uses Densitas? Breast screening programs and radiology practices. Densitas won a procurement for up to 24 screening clinics in Germany and a quality improvement initiative with TungstenQI in Halifax. Densitas pricing Densitas does not publish pricing. The vendor website was unreachable during research, so contact the company for current terms. Densitas alternatives Alternatives include Lunit for breast screening AI, ScreenPoint Medical for mammography AI, and Therapixel for breast cancer detection.
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What is Limbic? Limbic is an AI platform for mental healthcare that helps health plans and care providers scale access, speed up care and improve outcomes. Its two main products are Limbic Access for intake and assessment and Limbic Care for conversational CBT. Key capabilities of Limbic Limbic Access: Handles patient intake and assessments over web and phone inside referral pathways Limbic Care: Delivers CBT through conversational AI with escalation routes to clinical staff Phone Therapy: A phone-based therapy offering AI Therapy: AI-led therapy services Class IIa certification: The vendor says it is the only AI mental health chatbot with UK Class IIa status Security compliance: HIPAA, GDPR, ISO 27001 and Cyber Essentials How Limbic works Access sits in a service referral pathway, collects assessment information from patients and routes them to care. Care delivers cognitive behavioral therapy by conversation and keeps clear escalation routes to clinicians when risk or need appears. Who uses Limbic? Health plans and care providers, including NHS Talking Therapies services. The vendor reports NHS Digital Toolkit certification and UKCA marking. Limbic pricing Limbic does not publish prices. Organizations request a demo for a quote. Limbic alternatives Alternatives include Corti for clinical conversation AI, K Health for AI primary care and DeepScribe for clinical documentation. Limbic focuses on mental health intake and therapy.
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What is Ultromics? Ultromics is a healthcare technology company whose EchoGo AI detects heart failure with preserved ejection fraction (HFpEF) and cardiac amyloidosis from echocardiograms. It analyzes standard echo studies after acquisition. Key capabilities of Ultromics EchoGo Heart Failure: FDA 510(k) cleared diagnostic aid for HFpEF EchoGo Amyloidosis: FDA 510(k) cleared screening tool for cardiac amyloidosis Single-view input: Needs one four-chamber apical view Workflow return: Results return to ultrasound and PACS systems Reimbursement path: CPT code 0932T assigned to EchoGo Heart Failure Breakthrough designation: Both products hold FDA Breakthrough Device Designation How Ultromics works The AI analyzes routine echocardiograms once acquired and returns results into existing clinical systems. It is cloud-based and needs a single four-chamber apical view. A clinician reviews the output, since both are cleared as aids rather than autonomous diagnosis. Who uses Ultromics? Cardiology and echo labs. The vendor lists deployments at Mayo Clinic, City of Hope and University Hospitals. EchoGo Heart Failure reports 90.3% sensitivity and 86.1% specificity, and Amyloidosis 84.5% and 89.7%. Ultromics pricing Ultromics does not publish pricing. EchoGo Heart Failure has a CPT billing pathway under code 0932T. Ultromics alternatives Alternatives include Anumana for ECG-based cardiac AI, Eko Health for AI stethoscopes, and Us2.ai for automated echo measurements.
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What is Pieces Technologies? Pieces Technologies is an inpatient clinical AI AI agent offering clinical AI that drafts progress notes and summaries for inpatient care teams from the EHR. Founded in 2016 and based in Dallas, Texas, USA, Pieces Technologies helps hospitals and health systems automate inpatient clinical AI work and get results faster. Key capabilities of Pieces Technologies Inpatient note drafting Clinical summaries Discharge support Safety review EHR integration Clinician review workflows How Pieces Technologies works Pieces Technologies takes EHR data and text as input and produces text and documents. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Epic, Oracle Health (Cerner), athenahealth and eClinicalWorks, so the agent works inside existing workflows. Who uses Pieces Technologies? Pieces Technologies is built for hospitals and health systems. It suits teams that want inpatient note drafting and clinical summaries without adding headcount, while keeping people in control of review and final decisions. Pieces Technologies vs Abridge Pieces Technologies is often compared with Abridge. Pieces Technologies stands out for inpatient note drafting and discharge support. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is icometrix? icometrix is a brain imaging AI company, now part of GE HealthCare, whose icobrain platform compares and quantifies brain MRI scans over time to support neurology care. Key capabilities of icometrix Longitudinal MRI comparison: Compare and quantify brain scans over time MS monitoring: Lesion and brain volume tracking Dementia support: Brain volume measures for Alzheimer's and dementia ARIA monitoring: Amyloid-related imaging abnormalities Eight indications: Includes stroke, TBI, epilepsy, Parkinson's and brain tumors Vendor integrations: Works with Philips, Siemens and GE systems How icometrix works icobrain processes brain MRI scans, quantifies lesions and volumes, and compares them with prior scans to show change. Radiologists and neurologists review the structured results. Who uses icometrix? The vendor reports use in more than 400 hospitals and over 30 countries, with 9 FDA-cleared solutions, CE marking and clearance in 28 countries. icometrix pricing icometrix does not publish prices. Hospitals contact the vendor, now part of GE HealthCare, for pricing. icometrix alternatives Alternatives include Volpara Health and ScreenPoint Medical for breast imaging and Densitas for density assessment. icometrix focuses on brain MRI.
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What is Miiskin? Miiskin is a skin monitoring AI agent offering a skin monitoring app and teledermatology platform with AI-assisted mole tracking. Founded in 2015 and based in Copenhagen, Denmark, Miiskin helps consumers and dermatology clinics automate skin monitoring work and get results faster. Key capabilities of Miiskin Mole mapping and tracking Photo comparisons Teledermatology AI assistance Clinical validation Care routing How Miiskin works Miiskin takes image as input and produces insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as EHR systems, Telehealth platforms, iOS and Android, so the agent works inside existing workflows. Who uses Miiskin? Miiskin is built for consumers and dermatology clinics. It suits teams that want mole mapping and tracking and photo comparisons without adding headcount, while keeping people in control of review and final decisions. Miiskin vs SkinVision Miiskin is often compared with SkinVision. Miiskin stands out for mole mapping and tracking and teledermatology. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is ScribbleVet? ScribbleVet is an AI digital scribe for veterinarians that turns recorded appointments into detailed medical notes. It also writes client summary emails and discharge instructions so practitioners spend less time on documentation. Notes are ready for review within about a minute of finishing. Key capabilities of ScribbleVet Automatic notes: generates notes from appointment recordings with minimal editing Dental charts: visual charts that map observations to individual teeth Care Cards: client-friendly discharge instruction infographics Client summary emails: written in accessible language Multilingual support: English, Spanish, French and other languages Medical record summarizer: condenses hundreds of pages into a readable summary How ScribbleVet works You record the appointment normally, without special speech patterns, and off-topic conversation is filtered out. Click Scribble when finished, then review and lightly edit the generated note, usually within a minute. You can send the client email, and a one-click transfer moves notes into ezyVet, Pulse and Vetspire, with copy and paste for other systems. Who uses ScribbleVet? Veterinarians and veterinary practices use ScribbleVet, with customizable templates for specialty and practice style. The vendor offers special pricing for students, new graduates and nonprofits. ScribbleVet pricing Essential is $40 per month with 150 SOAP notes and core features. Unleashed is $200 per month billed monthly or $150 per month billed annually per veterinarian, with unlimited notes and support staff included at no charge. A 14-day free trial is available. ScribbleVet alternatives ScribbleVet is compared with Scribenote and Talkatoo, which also serve veterinary documentation. SignalPET analyzes radiographs rather than writing 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.
