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.

Accorded Acumen is an actuarial and health data platform designed for modeling value-based care, with a range of data engineering and analytical capabilities to support financial modeling, risk management, and contract analytics. It features extensible modeling for various healthcare scenarios, is compatible with multiple data sources, and offers customizable actuarial methodologies.

Claros Analytics offers advanced predictive analytics for the health benefits industry, enabling users to assess and manage risk in healthcare plans effectively. Some of their solutions include projecting plan costs, evaluating self-funding risk and rewards, budgeting, and building IBNR reserves. They also offer web-based capabilities for more flexible use, faster deployment, and integration into existing workflows.

DigitalOwl is an AI clinical summarization platform for insurance and legal workflows- it extracts and organizes key medical data from records, delivering summaries for claims processing, underwriting, and fraud detection.

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.

Applied AI Company (AAICO) offers AI models and services in life sciences and healthcare, enabling medical literature analysis, generation of CPT and DRG codes from clinical documentation, and medical record organization and analysis. They build specialty models for these services with training and validation from in-house experts.

Bunkerhill Health provides a platform that helps bring AI algorithms developed by researchers to clinical settings. The company assists with the validation, regulatory approval, licensing, and deployment of these AI solutions across hospitals, particularly focusing on cardiology, oncology, and radiology.

Centaur Labs provides medical data labeling solutions powered by a global network of expert annotators, including medical professionals and students. The platform supports multimodal data, including images, text, audio, and waveforms, to build high-quality datasets for AI development in healthcare and life sciences. Centaur Labs offers scalability and accuracy by using collective intelligence and automated quality checks, making it ideal for medical AI model training and validation.

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.

Cornerstone AI is a healthcare-focused platform that automates the cleaning and preparation of real-world data (RWD) using advanced machine learning techniques. It offers automatic data profiling, error detection, and data standardization. The platform enhances data quality, ensuring it is ready for analysis, crucial for clinical research.

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.

Gesund.ai is a platform that helps developers of medical AI models conduct independent validation studies to meet regulatory standards such as FDA requirements. It offers tools for testing AI models on diverse, real-world datasets and supports compliance, transparency, and scalability for healthcare AI validation. The platform is aimed at accelerating the validation process, reducing costs, and ensuring model reliability and reproducibility for AI products in clinical settings.

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.

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.

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.

Hoppr offers an API and platform designed to support AI developers in the medical imaging field. It provides a foundational AI model trained on diverse medical imaging data across various modalities, enabling faster and more cost-effective development and fine-tuning of AI/ML applications. The platform includes infrastructure for data management, including de-identification and regulatory compliance, as well as tools for training models in a scalable GPU environment. This helps reduce the time and complexity involved in medical imaging research and application development.

Hume AI provides an API-controlled voice-to-voice AI product that can understand speech and optimize responses for user satisfaction using their proprietary LLM model that combines language modeling and emotional quotient training.

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.

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.

Kore.ai offers a comprehensive AI platform focused on automating and enhancing customer and employee experiences through conversational AI and virtual assistants. It provides tools for building chatbots, voice assistants, and AI agents, integrating seamlessly with various business applications. Kore.ai’s solutions are used in customer service, HR, and IT to automate processes, provide support, and improve engagement. The platform is built for enterprise needs, including features like multi-language support, advanced NLP, and integration options for complex workflows.

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.

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.

Milliman is a provider of actuarial products and services. Milliman’s healthcare division offers data analytics, consulting and actuarial services. Payers and providers work with Milliman on value-based care contracting strategy, pricing and risk-adjusted performance evaluation.

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.

Syntax is a value-based care contracting company that provides modeling and negotiation support for health plans, providers and employers. Their services include contract analytics to support evaluation of different reimbursement models and guidance on negotiating contract terms such as attribution and carve-outs.

Tuva Health provides services and open source software to transform raw healthcare data into analytics-ready data, simplifying data preparation for healthcare analytics and AI development. Their services include preprocessing, data quality testing, data curation, augmentation, unification, enrichment for AI development, and real-world evidence generation in healthcare.

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.