Our AI Tools for Healthcare Directory is your trusted resource for discovering and evaluating emerging AI tools in the medical industry.
This curated directory showcases cutting-edge technologies, from AI-driven medical documentation to tools that simplify medical terms with AI for patients and support accurate, efficient workflows.
As AI becomes more integrated into healthcare, understanding its capabilities (and limitations, such as AI hallucinations) is essential for safe and effective implementation.
Whether you’re a healthcare professional, researcher or innovator, this list helps you navigate the latest AI solutions to optimise patient care and streamline operations.
Explore the possibilities and see how AI can transform your healthcare workplace.
Table of contents
- Clinical decision support tools
- Medical writing and documentation tools
- Healthcare analytics tools
- Telemedicine and virtual health tools
- Patient engagement tools
- AI for medical imaging
- Healthcare chatbots and virtual assistants
- Regulatory compliance tools
- Clinical research tools
- Other AI healthcare tools
The tools in this list are mostly healthcare-specific, but general tools like Gemini or ChatGPT can also help with a wide range of healthcare tasks. To learn more, browse our list of 13 ways to use ChatGPT in healthcare.
1. Clinical decision support tools
AI tools that assist healthcare professionals in making informed clinical decisions.
PathAI
PathAI uses machine learning to help doctors diagnose diseases, particularly cancer, by analysing medical images. The AI system improves the speed and accuracy of diagnosis.
Key features
- AI-powered image recognition for pathology slides
- Diagnostic support for oncology, dermatology and other specialties
- Continuous learning from clinical and laboratory data
- Automated analysis of pathology images
Target audience
Pathologists, oncologists, healthcare professionals
Aidoc
Aidoc uses AI algorithms to analyse medical images and help radiologists identify life-threatening conditions such as brain bleeds, pulmonary embolisms and fractures, enabling faster diagnoses and treatment.
Key features
- AI-powered medical imaging analysis
- Real-time triage of critical conditions
- Integration with radiology workflows
- Enhanced diagnostic precision and efficiency
Target audience
Radiologists, healthcare providers, hospitals
Buoy Health
Buoy Health uses AI to offer a personalised symptom checker that guides patients through a series of questions and provides potential diagnoses, suggesting appropriate next steps for care.
Key features
- AI-powered symptom checker
- Personalised health advice and decision support
- Continuously updated with the latest medical guidelines
- Integration with telemedicine services and providers
Target audience
Patients, healthcare providers, telemedicine services
2. Medical writing and documentation tools
AI tools that assist with medical content creation, including reports, patient education materials and more.
Grammarly
Grammarly uses AI to assist in writing clear, concise and error-free medical documents. It checks for grammar, spelling, punctuation, tone and clarity, helping medical communicators produce polished content.
Key features
- AI-powered grammar and style checking
- Tailored suggestions for clarity and readability
- Integration with common writing tools (Google Docs, MS Word, etc.)
- Support for tone detection and consistency in writing
Target audience
Medical writers, healthcare communicators, editors
QuillBot
QuillBot is an AI-powered paraphrasing and summarising tool that helps you rephrase sentences and paragraphs to improve readability while maintaining the original meaning.
Key features
- AI-powered paraphrasing and sentence restructuring
- Text summarisation for complex medical research
- Integration with Google Docs and Microsoft Word
- Multiple writing modes tailored for different needs (formal, casual, creative)
Target audience
Medical writers, healthcare researchers, communicators, students
Writesonic
Writesonic uses advanced AI to generate high-quality marketing content quickly, including medical blog posts, patient education materials and other healthcare-related writing. It can assist in drafting documentation, reports and more.
Key features
- AI-driven content generation for medical writing
- Customisable tone and style settings
- Speedy generation of outlines, paragraphs and full articles
- SEO-friendly writing for healthcare topics
Target audience
Medical writers, content creators, healthcare marketers
ProWritingAid
ProWritingAid combines AI and writing analytics to provide medical writers with detailed feedback on grammar, style and structure, helping them produce more effective and professional documents.
Key features
- Grammar and style checking tailored to medical writing
- Readability reports to enhance content clarity
- Contextual thesaurus and word choice improvement
- Integration with popular medical writing tools and word processors
Target audience
Medical writers, editors, researchers
3. Healthcare analytics tools
AI solutions focused on analysing healthcare data to uncover insights, trends and optimise operations.
SAS Health Analytics
SAS Health Analytics utilises advanced AI and machine learning algorithms to transform healthcare data into actionable insights. It supports healthcare providers in managing costs, improving patient outcomes and optimising operational processes through predictive analytics.
Key features
- Predictive analytics for clinical and operational performance
- Real-time dashboards for informed decision-making
- Integration with EHRs and other healthcare systems
- Cost optimisation and risk management tools
Target audience
Healthcare administrators, clinical decision-makers, data scientists
Google Health AI
Google Health AI employs machine learning to interpret medical data such as images, genomic sequences and clinical records. It aims to help healthcare professionals make faster and more accurate diagnoses and also has tools for patients.
Key features
- AI-assisted image and data analysis for early diagnosis
- Predictive analytics for disease progression and outcomes
- Integration with healthcare systems to streamline workflows
- NLP tools to extract meaningful insights from medical records
Target audience
Healthcare providers, researchers, data scientists, patients
Tempus
Tempus uses AI and machine learning algorithms to analyse clinical data to support oncologists and other health professionals in making data-driven treatment decisions. By correlating patient data with research, it delivers personalised treatment insights.
Key features
- Data analysis for personalised oncology treatment
- Integration of clinical research with patient care for optimal decision-making
- Predictive analytics to determine treatment responses
- Real-time updates with the latest research for better outcomes
Target audience
Oncologists, healthcare researchers, genetic counsellors
Health Catalyst
Health Catalyst provides a suite of AI and advanced analytics tools designed to help healthcare organisations optimise their data for operational efficiency, financial management and improved clinical outcomes.
Key features
- Predictive analytics for clinical performance improvement
- Operational intelligence to reduce inefficiencies and costs
- Data-driven insights for population health management
- Customisable data platforms for healthcare settings
Target audience
Healthcare administrators, data scientists, clinical leaders
4. Telemedicine and virtual health tools
AI-powered solutions for remote patient care, virtual consultations and health monitoring.
Babylon Health (Powered by eMed)
Babylon Health uses AI to provide virtual consultations, symptom checking and healthcare insights for patients through a chatbot interface.
Key features
- AI-powered symptom checker for self-diagnosis assistance
- Virtual consultations with healthcare providers
- Health insights and personal wellness management
- Integration with EHR for comprehensive health records
Target audience
Patients, healthcare providers
Ada Health
Ada Health leverages AI to assist with medical symptom checking, offering personalised health advice based on patient inputs.
Key features
- AI-driven symptom checker for personalised health assessments
- Virtual consultations with medical professionals
- Integration with patient data for informed healthcare decisions
- Multilingual capabilities for a diverse user base
Target audience
Patients, healthcare providers
Infermedica
Infermedica uses AI to power health triage, helping patients understand their symptoms and directing them to the right healthcare services.
Key features
- AI-driven symptom checker and health triage tool
- Personalised recommendations for healthcare next steps
- Integration with telemedicine platforms for streamlined care
- Multilingual support to serve diverse populations
Target audience
Patients, healthcare providers, insurance companies
5. Patient engagement tools
AI tools that improve patient engagement, communication and care adherence.
Wellsky
Wellsky leverages AI to reduce manual documentation, improving both the clinician and patient experience.
Key features
- Ambient listening and transcription technology that automates clinical documentation
- AI-powered extraction of patient medication information from referral documents and medication lists
- Minimises after-hours documentation, giving clinicians more time for patient care
- Enhances interactions by reducing administrative burden
Target audience
Healthcare providers, case managers, public health organisations
Lumeon
Lumeon uses AI to optimise patient care pathways, offering personalised care journeys and improving engagement through automation.
Key features
- AI-driven care pathway orchestration for personalised patient journeys
- Automation for appointment scheduling, reminders and follow-up care
- Real-time analytics to monitor patient engagement and progress
- Integration with EHR and other healthcare systems for seamless care delivery
Target audience
Healthcare providers, care teams, hospital administrators
Genoa Healthcare (TBC)
Genoa Healthcare uses AI to improve medication adherence and patient engagement, particularly for those with mental health and chronic conditions.
Key features
- AI-based medication reminders and tracking tools
- Personalised health and wellness recommendations
- Virtual care support and telehealth options for patients
- Data analytics for improving patient outcomes and engagement
Target audience
Healthcare providers, mental health professionals, patients with chronic conditions
Klara
Klara uses AI to enhance patient communication and engagement by providing secure messaging, appointment scheduling and follow-up care coordination.
Key features
- AI-powered messaging platform for real-time patient-provider communication
- Automated appointment scheduling and reminders
- Integration with EHR systems for seamless patient data management
- Analytics to track patient engagement and identify care gaps
Target audience
Healthcare providers, medical offices, care teams
6. AI for medical imaging
AI-powered tools for analysing medical images, including radiology, pathology and diagnostic imaging.
Qure.ai
Qure.ai uses AI to analyse medical images for quicker and more accurate diagnoses, helping radiologists detect a wide range of conditions.
Key features
- AI-driven analysis of X-rays, CT scans and chest radiographs
- Detection of conditions like pneumonia, tuberculosis and fractures
- Fast, automated reporting to reduce the burden on radiologists
- Integration with hospital systems for efficient workflows
Target audience
Radiologists, healthcare providers, hospitals
ScreenPoint Medical
ScreenPoint Medical leverages AI to improve breast cancer screening by analysing mammograms and providing radiologists with valuable diagnostic insights.
Key features
- AI-powered mammogram analysis for early detection of breast cancer
- Automated detection of suspicious areas for further investigation
- Workflow integration with PACS systems for improved efficiency
- Continuous learning algorithms to enhance diagnostic accuracy
Target audience
Radiologists, oncologists, healthcare providers
Tempus Radiology (Formerly Arterys)
Tempus Radiology leverages AI to provide advanced medical imaging solutions, offering cloud-based imaging analysis and real-time diagnostics.
Key features
- Cloud-based AI tools for medical image analysis in cardiology, radiology and oncology
- Real-time imaging analytics for improved clinical decision-making
- AI models trained on diverse data sets for accurate diagnostics
- Collaboration tools for multi-disciplinary teams in clinical settings
Target audienceRadiologists, cardiologists, oncologists, healthcare institutions
Imbio
Imbio uses AI to offer automated lung imaging analysis, helping radiologists improve accuracy in diagnosing conditions like COPD and interstitial lung diseases.
Key features
- AI-powered analysis of CT scans for pulmonary disease detection
- Advanced segmentation tools for lung volume and airflow measurements
- Integration with PACS for seamless workflow management
- Predictive analytics for improved patient outcome monitoring
Target audience
Radiologists, pulmonologists, healthcare providers
7. Healthcare chatbots and virtual assistants
AI solutions designed to interact with patients and provide support through chatbots or virtual assistants.
Sensely
Sensely combines AI and natural language processing to create a virtual assistant that helps patients navigate their health concerns and guides them to the right care.
Key features
- AI-powered virtual assistant for symptom checking and care navigation
- Integration with wearable devices for real-time health monitoring
- Virtual triage to recommend appropriate levels of care
- Personalised health insights and wellness advice
Target audience
Patients, healthcare providers, insurance companies
Your.MD
Your.MD offers an AI-powered chatbot that provides users with medical information and directs them to appropriate healthcare services based on their symptoms.
Key features
- AI-driven chatbot for personalised health information and advice
- Symptom checker to recommend next steps in care
- Seamless integration with telemedicine and health provider networks
- User-friendly interface for individuals seeking healthcare guidance
Target audience
Patients, healthcare providers, telemedicine companies
K Health
K Health provides an AI-powered chatbot that offers personalised health advice and connects users with doctors for virtual consultations based on their symptoms and medical history.
Key features
- AI-driven symptom checker and health assessment tool
- Virtual doctor consultations based on personalised data
- Continuous tracking of health metrics and advice for long-term care
- Integration with health insurance providers for seamless service
Target audience
Patients, healthcare providers, insurance companies
Fabric
Fabric offers AI-powered virtual assistants and outreach tools to drive better outcomes for patients and improve an organisation’s bottom line.
Key features
- AI-powered triage tool to guide patients to the right level of care
- Personalised patient education content and wellness guidance
- Integration with EHR for easy access to patient data and history
- Automated follow-up care management and reminders
Target audience
Healthcare providers, hospitals, health systems
8. Regulatory compliance tools
AI tools that help healthcare organisations comply with regulations, manage risk and ensure safety.
Veeva
Veeva uses AI to streamline and automate compliance processes within healthcare organisations, focusing on quality management and regulatory adherence.
Key features
- AI-driven document and quality management for regulatory compliance
- Real-time tracking and reporting of compliance data
- Automated workflows for auditing and documentation
- Integration with other Veeva Vault applications for seamless data flow
Target audience
Healthcare organisations, pharmaceutical companies, regulatory teams
RedEd
RegEd helps healthcare companies optimise their compliance and risk strategies.
Key features
- AI-driven platform for automating compliance management and reporting
- Tools for tracking certifications, training and regulatory changes
- Automated audit trails and compliance documentation
- Predictive analytics for risk mitigation and compliance monitoring
Target audience
Healthcare insurers, financial institutions, compliance teams
Compliance.ai
Compliance.ai uses AI to help healthcare organisations stay compliant with ever-changing regulations, offering real-time updates and automated policy management.
Key features
- AI-powered platform for tracking and managing regulatory changes
- Automated compliance workflows and document management
- Tools for risk assessment and compliance auditing
- Integration with EHR, CRM and other healthcare systems
Target audience
Healthcare providers, pharmaceutical companies, legal teams
Alyne
Alyne uses AI to assist businesses in managing cybersecurity and data privacy compliance.
Key features
- AI-powered risk assessment for cybersecurity and data privacy compliance
- Automated gap analysis to identify regulatory weaknesses
- Tools for continuous monitoring and reporting of compliance status
- Customisable reports and alerts for policy violations
Target audience
Healthcare providers, IT security teams, legal and compliance officers
Hyperproof
Hyperproof helps healthcare organisations centralise their compliance and risk mitigation strategies.
Key features
- AI-based compliance automation for regulatory frameworks
- Real-time compliance monitoring and audit readiness
- Integration with enterprise tools for data management and reporting
- Automated evidence collection for audits and regulatory checks
Target audience
Healthcare organisations, compliance teams, audit professionals
9. Clinical research tools
AI tools that support clinical trials, research analysis and evidence generation.
Judi.io
Judi is an AI-powered platform designed to streamline and facilitate the clinical trial process by managing workflows, communication and collaboration between stakeholders.
Key features
- AI-powered cloud-based system
- Streamlines process management
- Supports trial sites, sponsors, CROs and other partners on a range of workflows specific to clinical trial management
Target audience
Clinical researchers, pharmaceutical companies, healthcare providers
Formation Bio
Formation Bio is a tech-driven, AI-native pharma company that is changing the way drug development is done.
Key features
- Acquires clinical-stage drugs from pharma, universities and biotech
- Develops them faster and more efficiently
- Uses AI to optimise all aspects of the drug development lifecycle
- Focuses on scaling drug development with technology and AI
Target audience
Clinical research organisations (CROs), pharmaceutical companies, patients, , physicians, investors
Phesi
Phesi offers AI-powered solutions to improve clinical trial design, planning and management, using data analytics to optimise trial success and minimise costs.
Key features
- AI-driven analytics for trial design and planning
- Predictive modeling for patient recruitment and retention
- Real-time performance monitoring and risk management
- Tools for optimising clinical trial costs and timelines
Target audience
Pharmaceutical companies, clinical researchers, clinical trial managers
CureMetrix
CureMetrix uses AI to enhance mammography analysis, providing clinical researchers with deeper insights for breast cancer studies and trials.
Key features
- AI-driven mammography analysis to improve breast cancer research
- Automated detection and classification of abnormalities in mammograms
- Real-time data analysis for improved trial insights
- Integration with clinical trial management systems for seamless workflows
Target audience
Clinical researchers, oncology professionals, pharmaceutical companies
10. Other AI tools for healthcare solutions
Explore other innovative AI tools designed for various healthcare applications not covered in the categories above.
Viz.ai
Viz.ai uses AI to enable faster detection and communication of medical emergencies, such as stroke, by analysing medical images and alerting healthcare teams in real-time.
Key features
- AI-powered stroke detection from medical imaging
- Real-time communication with healthcare providers for quicker interventions
- Seamless integration with radiology systems and EHR
- Alerts and dashboards for clinical decision-making support
Target audience
Neurologists, radiologists, emergency medical teams
Butterfly Network
Butterfly Network uses AI-powered handheld ultrasound devices to capture and analyse diagnostic images, providing instant insights for healthcare professionals.
Key features
- AI-assisted ultrasound imaging for real-time diagnostics
- Portable, handheld devices for point-of-care applications
- Cloud-based platform for remote access to images and data
- Integration with healthcare systems for streamlined data sharing
Target audience
Clinicians, healthcare providers, mobile health teams
Wellframe
Wellframe provides an AI-driven mobile platform that supports patient engagement, personalised health coaching and chronic disease management.
Key features
- AI-powered health coaching and personalised care plans
- Real-time monitoring of patient health metrics
- Integration with EHR and healthcare systems for comprehensive care management
- Tools for patient education and adherence tracking
Target audience
Patients, healthcare providers, chronic disease management teams
Koneska Health
Koneksa Health uses AI to improve clinical trials by capturing real-time patient data from wearable devices, enabling better patient monitoring and trial outcomes.
Key features
- AI-driven platform for capturing real-time patient data from wearables
- Tools for remote patient monitoring and engagement
- Data analytics for enhancing clinical trial design and outcomes
- Integration with clinical trial management systems
Target audience
Clinical researchers, pharmaceutical companies, CROs
Aetonix Systems
Aetonix Systems uses AI to create intelligent care management solutions that streamline patient care coordination and enhance remote patient monitoring for chronic disease management.
Key features
- AI-driven care coordination and patient management platform
- Remote patient monitoring for chronic conditions like diabetes and hypertension
- Real-time analytics to support clinical decision-making and interventions
- Integration with EHR systems for holistic patient data tracking
Target audience
Healthcare providers, chronic disease management teams, remote care coordinators
Where to from here?
Explore these AI tools for healthcare to see how they can enhance your practice, streamline workflows and improve patient care.
Whether you’re a healthcare professional, researcher, or decision-maker, there’s an AI solution to support your needs in today’s evolving healthcare landscape.
