Large Language Models
Large Language Models (LLMs) are AI systems trained on vast datasets to understand and generate human language. In healthcare, they are used for tasks like summarizing clinical notes, assisting with patient inquiries, and automating documentation. LLMs analyze large volumes of unstructured data to enhance decision-making, improve workflows, and support administrative and clinical processes. Their ability to process complex language makes them valuable tools for improving efficiency and accuracy in various healthcare settings.
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ScienceIO
Claimed
ScienceIO
Company Info
Founded: 2019
Headcount: 11-50
Customers
Verified Customers: 1
Customers Served: Digital Health Provider, Hospital / Health System, Health Plan, Life Sciences, Risk-Bearing Providers
Product Overview
2 ReviewsSecurity and Compliance Certifications: HIPAA
ScienceIO transforms unstructured healthcare text into structured, actionable data using AI, covering over 9 million healthcare concepts. Use cases include patient cohorting, diagnostics, biomarker identification, and other digital health services.
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emtelligent
Claimed
emtelligent
Company Info
Founded: 2016
Headcount: 11-50
Customers
Customers Served: Digital Health Provider, Ambulatory Practice, Hospital / Health System, Health Plan, Life Sciences, Government
Product Overview
emtelligent is a healthcare AI language solution, trained on billions of data points and 2M+ hand annotations. It uses NLP and medically-aligned LLMs to structure medical text and unlock insights at enterprise scale.
Anthropic
Claude AI
Company Info
Founded: 2021
Headcount: 51-200
Customers
Customers Served: Digital Health Provider, Ambulatory Practice, Hospital / Health System, Health Plan, Life Sciences, Government
Product Overview
Claude 3 is an LLM that is utilized to automate tasks like generating personalized treatment plans and summarizing medical research. It is also used to analyze large volumes of patient data, helping to create tailored healthcare solutions. The model's capabilities include supporting drug discovery, clinical research, and patient care automation.
GenHealth.ai
GenHealth.ai LMM
Company Info
Founded: 2023
Headcount: 1-10
Customers
Customers Served: Digital Health Provider, Hospital / Health System, Health Plan, Life Sciences
Product Overview
Security and Compliance Certifications: SOC 2 Type 1, HIPAA
GenHealth.ai’s Large Medical Model (LMM) is designed to predict future healthcare events by analyzing sequences of medical events such as diagnoses, treatments, and medications. Instead of using traditional language models, it operates on clinical data like ICD, CPT, RxNorm, and LOINC codes, which represent patient conditions, procedures, and medications. The model processes these event sequences to forecast outcomes like healthcare costs, risks, and likely future medical procedures, helping healthcare providers anticipate patient needs and manage resources more effectively.
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Gradient
Gradient
Company Info
Founded: 2022
Headcount: 11-50
Customers
Verified Customers: 1
Customers Served: Digital Health Provider, Hospital / Health System, Health Plan, Life Sciences
Product Overview
Security and Compliance Certifications: SOC 2 Type 2, HIPAA
Gradient AI's large language models (LLMs) automate and enhance administrative and clinical tasks such as clinical transcription, medical coding, claims auditing, and patient scheduling. The platform also features AI-powered chatbots for patient interaction, fraud detection, and claims management, providing efficient and accurate support for healthcare providers, administrators, and payers.
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Harrison.ai
Harrison.rad.1
Company Info
Founded: 2018
Headcount: 51-200
Customers
Customers Served: Hospital / Health System, Ambulatory Practice
Product Overview
Harrison.rad.1 is an AI-based large language model designed to assist radiologists by excelling in critical tasks like detecting findings, localizing issues in images, and providing structured reports. The model scores 51.4/60 in the FRCR 2B radiology exam, and can help with finding detection and localization, structured reporting, and clinical history understanding. It supports multimodal imaging data and emphasizes clinical precision and factual accuracy for enhancing diagnostic processes in healthcare.
Hippocratic AI
Hippocratic AI
Company Info
Founded: 2022
Headcount: 1-10
Customers
Verified Customers: 5
Customers Served: Digital Health Provider, Ambulatory Practice, Hospital / Health System, Health Plan
Product Overview
Security and Compliance Certifications: HIPAA
Polaris, developed by Hippocratic AI, is a safety-focused large language model (LLM) system designed specifically for real-time, patient-facing healthcare conversations like post-acute care and post-op check-ins. It operates using a constellation architecture, where a primary AI agent handles overall patient interaction, while multiple specialist models focus on specific tasks like medication management, nutrition advice, and lab result interpretation, enhancing consistency, accuracy, and safety.
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Insights AI
Insights AI
Company Info
Headcount: 51-200
Customers
Customers Served: Hospital / Health System, Ambulatory Practice
Product Overview
Security and Compliance Certifications: HIPAA, GDPR
Insights AI offers healthcare-focused AI solutions, including natural language processing (NLP) tools such as Omniview, a large language model trained on extensive patient data. It supports functions like named entity recognition (NER), optical character recognition (OCR), and de-identification of sensitive data to ensure compliance with healthcare regulations like HIPAA. Its use cases include enhancing clinical documentation, automating data extraction, and supporting clinical decision-making.
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John Snow Labs
John Snow Labs
Company Info
Founded: 2015
Headcount: 51-200
Customers
Customers Served: Digital Health Provider, Hospital / Health System, Health Plan, Life Sciences
Product Overview
John Snow Labs produces AI and NLP models for healthcare, with use cases like healthcare-specific question answering, data de-identification, adverse drug event detection, patient risk adjustment, and clinical decision support.
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Meta
Llama
Company Info
Founded: 2004
Headcount: 10000+
Customers
Customers Served: Digital Health Provider, Ambulatory Practice, Hospital / Health System, Health Plan, Life Sciences
Product Overview
LLaMA 3, Meta’s latest large language model, offers significant advancements in healthcare applications. It can support a wide range of clinical tasks such as automating medical documentation, improving patient interactions, and aiding in diagnostics through natural language processing. LLaMA 3 has been integrated into tools for real-time surgical assistance, clinical trial automation, and precision medicine.
Google
MedGemini
Company Info
Founded: 1998
Headcount: 10000+
Customers
Customers Served: Digital Health Provider, Ambulatory Practice, Hospital / Health System, Health Plan, Life Sciences
Product Overview
Security and Compliance Certifications: SOC 2 Type 2, HIPAA
Med-Gemini is an AI model family from Google, optimized for healthcare tasks like medical imaging, pathology, and genomics. It builds on Google’s Gemini models, using multimodal data and long-context reasoning to improve clinical workflows, such as generating radiology reports and predicting health outcomes from genomic data. Med-Gemini has achieved 91.1% accuracy in USMLE-style exams, and shows potential for assisting healthcare professionals in diagnostic and analytical tasks.
OpenAI
OpenAI
Company Info
Founded: 2015
Headcount: 201-500
Customers
Verified Customers: 2
Customers Served: Digital Health Provider, Ambulatory Practice, Hospital / Health System, Health Plan, Life Sciences
Product Overview
Security and Compliance Certifications: SOC 2 Type 2, HIPAA, GDPR
OpenAI offers a variety of models, including GPT-4 and GPT-3.5, accessible through its API platform for tasks like text generation, translation, code assistance, and more. These models are used by developers and enterprises to build AI-driven applications, enabling functions such as conversational AI, content creation, and natural language understanding. OpenAI also provides customization options, allowing businesses to fine-tune models for specific use cases.
Writer
Writer
Company Info
Founded: 2020
Headcount: 201-500
Customers
Verified Customers: 5
Customers Served: Ambulatory Practice, Hospital / Health System
Product Overview
Security and Compliance Certifications: SOC 2 Type 2, HIPAA, PCI DSS, GDPR
Writer is a generative AI platform focused on content creation and compliance for enterprises. It provides tools for automating and governing content generation, enabling users to build custom AI applications for tasks like summarization, content analysis, and digital assistance. The platform supports advanced integrations, compliance management, and offers industry-specific language models tailored to healthcare, finance, and other sectors.
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