Best Healthcare AI Software with a Free Trial

StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering. With StackAI you can: • Connect knowledge bases (SharePoint, Confluence, Notion, Google Drive, databases) with versioning, citations, and access controls • Publish AI agents as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, or ServiceNow • Govern usage with enterprise security: SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, data residency, and cost controls • Route across OpenAI, Anthropic, Google, or local LLMs with guardrails, evaluations, and testing • Deploy in multi-tenant cloud, dedicated cloud, private cloud, or on-premise

Expert-coded by chemists and engineered by computer scientists, SYNTHIA™ Retrosynthesis Software enables scientists to quickly find and easily navigate innovative and novel pathways for novel and published target molecules. Quickly and efficiently scan hundreds of pathways to help you identify the best option according to your needs. Explore the most cost-effective routes to your target molecules with state of the art visualization and filtering options. Easily customize search parameters to eliminate or promote reactions, reagents or classes of molecules. Explore unique and innovative syntheses that may be unknown for building your desired molecule. Easily generate a list of commercially available starting materials for your synthesis. Benefit from ISO/IEC 27001 Information Security Certification to guarantee the confidentiality, integrity, and protection of your data.

Enlitic focuses the power of artificial intelligence into data management applications, enabling effective administration, processing, and sharing of patient data throughout the healthcare enterprise. The Enlitic Framework standardizes, protects, integrates, and analyzes medical imaging data to create the foundation of a real-world evidence platform that improves clinical workflows, increases efficiencies, and expands capacity. ENDEX™ standardizes your data. By using computer vision and natural language processing, ENDEX maps DICOM and metadata to consistent and standardized study descriptions enabling consistent hanging protocol displays, accurate data routing, improved billing capabilities and administrative staff can reclaim time from fixing hanging protocols or searching for studies. ENCOG™ is designed to de-identify medical imaging data while retaining clinically relevant information, saving you time and resources.

Harness the power of AI agents to automate patient chart reviews, saving valuable time, enhancing productivity, and improving mental health for physicians, thereby increasing the quality of care for patients. Sporo lets the clinician focus on what’s important, the patient. The significant time sink caused by Manual Chart Review (MCR) triggers productivity loss, physician burnout, and poor patient outcomes. We combine the latest advancements to create state-of-the-art AI agents that analyze pages of patient charts and provide synopses to be reviewed in just 10 seconds. With the finest technology guided by expert advisors, we've crafted the right solution for modern healthcare needs. Searching through hundreds of patient chart documents and puzzle-piecing together history is time-consuming and difficult, let Sporo do it for you within seconds, focusing on the key elements of a patient’s story in an easily digestible, familiar, presentation format.

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.

NLSQL is a cutting-edge B2B SaaS platform designed to empower employees by transforming natural language into actionable business data through an intuitive text-based interface. By leveraging Natural Language Processing (NLP), NLSQL enables users to query corporate databases using plain English, streamlining decision-making and accelerating operational efficiency. As the first NLP-to-SQL API of its kind, NLSQL allows seamless integration within existing enterprise systems without the need to transfer any sensitive or confidential information outside the corporate IT environment. This ensures robust data security and compliance with industry regulations. With NLSQL, companies benefit from faster insights, reduced reliance on technical teams for report generation, and improved accessibility to data across departments. The platform is ideal for large enterprises seeking to enhance productivity, boost data-driven culture, and maintain complete control over internal information flow.

Heidi Health is an ambient AI clinical documentation and workflow platform built for healthcare professionals. It captures patient consultations in real time and converts conversations into structured medical records, including progress notes, referral letters, discharge summaries, care plans, and billing-ready documentation. The system recognizes complex medical terminology, adapts to specialty-specific requirements, and supports standardized coding systems such as ICD-10 and SNOMED CT. Heidi distinguishes clinically relevant details from general dialogue and formats outputs for review and EHR integration. Accessible via secure desktop and mobile applications, Heidi integrates with major electronic health record systems and supports multilingual consultations. With enterprise-grade security and compliance with global privacy standards, Heidi reduces administrative workload while improving documentation accuracy and clinical workflow efficiency.

Guava Provider Dashboard is the practice management and patient health platform built for direct primary care, concierge, and functional medicine providers. Leveraging HIPAA-compliant AI, it gives clinicians a real-time view of patient biomarkers, lab results, wearable data, and health history — all in one place — so personalized care decisions are faster and better informed. Patients connect through the Guava app, one of the most comprehensive personal health-tracking tools available, which syncs data from labs, wearables, and medical records directly into the provider's dashboard. The result is a continuous, shared health picture between provider and patient. Guava integrates directly with Elation, Athena, Cerbo, Hint, Spruce, and InBody and connects with over 100,000 patient health systems and wearable devices. It supports DPC and concierge practices looking to deliver truly personalized care without the administrative overhead of traditional EHR workflows.

Join AI offers advanced artificial intelligence solutions for the healthcare industry, particularly focusing on radiology and endoscopy. Their AI services include chest imaging, breast imaging, stroke detection, and gastrointestinal endoscopy, providing clinicians with enhanced diagnostic capabilities. By utilizing cutting-edge algorithms, Join AI helps healthcare professionals make more accurate and timely diagnoses, improving patient outcomes.

Shen AI is an advanced, camera-based health-monitoring SDK that enables users to track over 30 health markers, such as blood pressure, heart rate, heart rate variability, BMI, and cardiovascular risk factors, via a single 30-second face scan using a standard smartphone or camera feed. The system uses remote photoplethysmography and ballistocardiography combined with computer vision and AI to extract biosignals from facial video without wearables, external sensors, or physical contact. It delivers real-time insights, is clinically validated, and is designed to be integrated as a white-label SDK for mobile apps, telehealth platforms, smart mirrors, in-vehicle systems, or insurance workflows. Built for accuracy and inclusivity, Shen AI is designed to deliver reliable results regardless of skin tone or lighting conditions, operate entirely on-device (edge processing) to protect privacy, and support fast integration via its SDK and FHIR API.

ChatGPT for Clinicians is a purpose-built workspace designed to support real clinical work by bringing trusted medical evidence directly into the moment of care. It enables clinicians to access real-time, cited answers grounded in peer-reviewed studies, clinical guidelines, and authoritative public health sources, allowing them to reason through cases more quickly and with greater confidence. It is optimized for tasks such as reviewing care pathways, synthesizing evidence with transparent citations, drafting clinical documentation, and creating clear patient education materials. It incorporates specialized models and workflows tailored to healthcare use cases, including reusable templates and tools that reduce the administrative burden associated with writing notes, discharge instructions, or authorization letters. In evaluations, GPT-5.4 within the Clinicians workspace demonstrated stronger performance than base models, other external systems, and even written responses.

Deliver an end-to-end patient experience that integrates in real-time with your practice management system. The only solution that reads and writes data in real-time with your practice management system. We spend most of our engineering resources on creating the best bidirectional integrations with EHR and practice management systems. Now you can develop and deploy your product in weeks, not years. Our engineers consume our own API to build our own doctor-facing SaaS product, so you know you will always get an experience that is tested and can scale. Online patient scheduling allows visitors to see your availability in real-time and schedule appointments on-demand from any location or device. NexHealth scheduling software fully customizes your schedule right out of the box. Our team of product experts helps implement both your calendar of record and your EHR system – no matter how complex your schedule.

Plug’n play API to integrate with your diabetes management platform. Personalized therapeutic education. Better insights on BGL fluctuations. Real-time prediction to anticipate risks. Allow for more personalization and better regulation of the system. Handle complex living phases with rapid glucose changes. Telemedicine & retrospective analysis. Decision-support for patients. Hillo is currently working on the next versions of its AI technology, a therapeutic recommendation system to anticipate and prevent hypoglycemia and hyperglycemia, whose CE mark class IIB is planned for 2020, and the new generation of artificial pancreas(AP) for 2021, which will help overcome the main limitations of current AP systems thanks to the ultra-personalization provided by machine learning. The first self-learning artificial intelligence for predicting blood glucose levels to obtain CE mark as a medical device.

DrugCard is an AI-powered pharmacovigilance platform that helps pharmaceutical companies, CROs, and drug safety teams automate key PV workflows. The platform supports global and local literature monitoring, regulatory intelligence, and adverse event management, helping teams reduce manual screening, identify relevant safety information faster, and maintain audit-ready processes. DrugCard combines AI-driven article pre-assessment, summaries, translations, keyword highlighting, notifications, reporting, audit trails, and case management tools in one connected system. With coverage of 121+ countries, 2,200+ local medical sources, and 100+ languages, DrugCard is designed for MAHs, QPPVs, LQPPVs, regulatory teams, and PV professionals who need scalable, transparent, and compliant automation while keeping human experts in control of final decisions.

Google Cloud's Medical Imaging Suite is designed to help organizations transform imaging diagnostics by making imaging data accessible, interoperable, and useful. The suite offers a secure, compliant, fully managed service for managing healthcare data in FHIR, HL7v2, and DICOM formats, as well as unstructured text in natural language. By leveraging a cloud environment, it becomes easier and more cost-effective to house and share large libraries of medical images that exist in healthcare. The Cloud Healthcare API provides operations for reading DICOM instances, studies, and series that are consistent with the DICOMweb standard. Additionally, the suite accelerates research and transforms the patient experience in healthcare by offering solutions for data storage, analysis, and more. It also explains concepts and best practices for integrating a third-party medical imaging viewer with the Cloud Healthcare API.

Mamosis is an advanced AI-powered platform designed to enhance the speed and accuracy of cancer diagnosis through sophisticated analysis of medical imaging and health data. Using deep learning models trained on extensive datasets and validated by clinical experts, Mamosis detects subtle anomalies that might be missed during routine examinations. The software provides clear, actionable reports within minutes, enabling healthcare professionals to make faster, more informed decisions. Its intuitive interface simplifies workflows by allowing secure image uploads and easy review of results. Mamosis prioritizes patient privacy with encrypted data handling and adheres to the highest international security standards. By combining AI intelligence with expert insight, Mamosis supports earlier detection and better patient outcomes.

Clinically AI is a suite of AI-powered tools for behavioral health documentation that generate complete, compliance-aligned clinical notes in seconds while preserving clinician control and oversight. It is chart-aware, meaning it understands and references a patient’s treatment plan, interventions, goals, and progress to maintain a “golden thread” linking notes to care delivery. It supports ambient and dictation modes, capturing sessions via live audio or post-session input, across telehealth platforms (Zoom, Google Meet, Teams) or in-person settings, and works with any browser-based EHR via a Chrome extension or API integration. Clinically AI handles discrete and narrative fields, fills dropdowns, checkboxes, and conditional logic, and can generate up to 50 individualized notes from a single group session while maintaining personalization. It offers real-time audit support to flag compliance issues proactively, and supervision tools for reviewing clinicians’ work.

GPT-Rosalind is a purpose-built frontier reasoning model developed by OpenAI to accelerate scientific research across biology, drug discovery, and translational medicine. It is designed specifically for life sciences workflows, where researchers must navigate large volumes of literature, experimental data, and specialized databases to generate and validate new ideas. It combines deep domain understanding in areas such as chemistry, genomics, protein engineering, and disease biology with advanced tool-use capabilities, allowing it to interact with scientific databases, analyze experimental outputs, and support complex, multi-step reasoning tasks. It can assist with evidence synthesis, hypothesis generation, literature review, sequence interpretation, and experimental planning, helping scientists move faster from raw data to actionable insights. GPT-Rosalind transforms complex, time-intensive research processes into more efficient AI-assisted workflows.