20 Gen AI Healthcare Startups Shaping the Future: A Recap from HLTH

Embracing AI in healthcare promises a transformative era of self-discovery. Our collective demand for transparency and active engagement has the potential to give rise to intelligent AI systems, ones that are both smart and knowledgeable. With care, legal frameworks, and collaboration, these AI-driven systems have vast potential to advance healthcare.

At HLTH, one of the largest healthcare conferences, excitement surrounded generative AI and large language models (LLMs), which are powering applications from chatbots to medical image analysis. Startups now combine proprietary and open-source LLMs, while emphasizing data strategy optimization, milestone achievement, effective go-to-market plans, and strategic partnerships to secure funding. The rapid formation of companies in mere hours, powered by LLMs, underscores the importance of true differentiation in this emerging era.?

Below are some noteworthy startups we met on the HLTH conference floor that are using LLMs and generative AI and the NVIDIA computing platform.

Life Science Data Management:?

• Huma.AI, a generative AI for life sciences SaaS platform, has been recognized by Gartner in 24 of its 2023 Hype Cycle reports, including AI, emerging technologies, and more, following its collaboration with OpenAI to deploy a validated GenAI solution for medical affairs in 4Q2022, attracting seven global pharma and medical device clients with validated use cases across the industry.
• Viz.ai, a medical imaging startup specializing in stroke care with coverage for 230 million lives, has expanded into cardiology and oncology, employing LLMs for early disease detection prediction.

Medical Imaging AI:

• Arionkoder is a product development studio and AI lab service company with expertise in AI, computer vision, natural language processing, and machine learning in general. It provides a wide range of services and labs collaborating with expert teams for practical implementation of ML-powered solutions for healthcare customers in use cases such as automated virus titration, neurodegenerative disease diagnosis, detection of diabetic retinopathies and LLM-based assistance chatbots.
• HeHealth employs AI and LLM technologies to deliver efficient recommendations for male care, streamlining the summarization of findings for healthcare professionals and researchers.
• HOPPR is a multimodal imaging platform that facilitates deep image analysis, improves communication, and streamlines various medical processes, deploying across multiple customers in four key markets.?
• Medical IP, a medical metaverse solution, utilizes generative AI for streamlined medical imaging segmentation. It improves radiologists' workflows with FDA/CE-cleared platforms, trained on NVIDIA GPU accelerators, and GPU-based inference, and enhances medical diagnosis for 500+ customers and thousands of students.?
• NexusMD’s LLM-powered medical imaging platform automates prior medical imaging data capture from 41,000 U.S. service sites using AI and advanced scientific modeling.

Care and Claims Coordination:

• Abridge, a leading generative AI for clinical documentation company, uses proprietary AI technology to automatically convert a patient-clinician conversation into a structured clinical note draft in real time, saving clinicians over two hours a day in administrative burden. Abridge's Epic-integrated solution is currently deployed across health systems including the University of Kansas Health System, University of Pittsburgh Medical Center, and Emory Healthcare.
• Autonomize AI, a healthcare-optimized AI platform utilizing several LLMs including? NVIDIA BioMegatron, offers multiple copilots such as chart review, claims payment integrity, care gap review, and clinical research. It cuts clinical administrative time by 63%, accelerates care gap closures by 50%, and speeds up medical history reviews for complex clinical trials by over 10x, resulting in 50% faster trial startup times.
• DeepScribe, a med-tech firm, leverages LLMs trained on proprietary clinical data to automate clinical documentation, aiding clinicians in reducing burnout and improving patient care, resulting in a 75% decrease in documentation time and chart closure time reduced to 1.6 minutes.
• HiLabs, founded at Yale by a physician and an AI expert, works with four of the 10 largest health plans in the U.S. It uses advanced AI and LLMs to refine dirty data to identify care gaps and improve members’ experience.
• Nabla offers Copilot, an ambient AI for physicians that utilizes their proprietary LLM technology to streamline clinical note generation. This solution is currently serving 15K physicians, significantly reducing stress and improving patient care.

Patient Engagement and Monitoring:?

• AgentifAI, the voice-first AI assistant for healthcare, uses natural language understanding and industry-specific LLMs to enhance the CX of patients and currently serves more than 4 million unique customers.
• Artisight, based in Chicago, has deployed in 87 hospitals its end-to-end sensor fusion platform solution, which leverages an encoder LLM to enhance operational efficiency, resulting in an improved patient experience.
• dacadoo, a digital health platform, connects to 120 devices, serves 35 health insurance clients, and plans to incorporate an LLM-based Netflix-style streaming model. It's available in over 18 languages and can be licensed as a white label or through APIs for customized solutions.
• Hippocratic AI is developing the healthcare industry's first safety-focused LLM, with a primary focus on patient-facing, non-diagnostic applications. It uses NVIDIA GPUs and the NEMO for efficient training.
• Idoven has developed Willem-AI, an AI-powered cardiology platform that augments clinicians’ ability to identify, triage, and diagnose patients at scale. Willem-AI distinguishes itself through a sophisticated core engine comprising diverse deep-learning models optimized for adaptability and performance and which are powered by NVIDIA GPUs.
• Inference Analytics, a generative AI healthcare platform trained on 450M+ medical records and equipped with 15+ LLMs, has impactful use cases that are patient-facing, physician-facing, and workforce-facing for healthcare providers, payors, and technology partners.
• Pingoo, deploying now in various health systems and serving patients in areas such as diabetes, is an AI health chatbot powered by an LLM. It provides personalized health education and engagement, alleviating healthcare providers' burdens and enhancing health system outcomes.
• Talkie.ai leverages AI voice and LLM technology to automate patient phone interactions, enabling over 40 healthcare organizations to elevate the patient experience and streamline administrative operations.

To learn more, please come visit us at GTC virtually or in person at San Jose, CA March 18-21, 2024. Learn more and register today.