Healthcare organizations are starting to implement AI agents — autonomous, task-specific systems designed to perform functions with little or no human intervention. While initial adoption is focused mainly on non-clinical areas like scheduling and prior authorizations, experts predict that AI agents could eventually play a role in clinical decision-making, provided they meet rigorous safety and reliability standards.
At JPM25, Nvidia announced four new partnerships focused on scaling AI models across the healthcare industry. The company is teaming up with Mayo Clinic, Illumina, IQVIA and Arc Institute.
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Here are nine notable announcements shared at the HLTH conference held this week in Las Vegas.
At RSNA 2023, Nvidia launched new set of cloud-based APIs designed to speed up the creation and deployment of specialized AI models in the medical imaging field. The new offering is a cloud-native extension to Nvidia's Monai framework, which is its open-source framework for medical imaging AI.
Nvidia’s investment isn’t just working capital for Recursion Pharmaceuticals’ technology-driven drug discovery research. Recursion says it will get more computing power as well as the possibility of joining forces with Nvidia in research.
Nvidia and Medtronic recently announced a collaboration focused on embedding AI into medical devices. The two companies plan to create marketplace for AI applications that will allow developers and clinicians to develop their own algorithms to use on Medtronic’s medical devices.
Patient expectations continue to evolve, and healthcare practices that fail to adapt risk more than just revenue—they risk losing trust.
A collaboration between Nvidia and startup Evozyne was able to produce novel versions of a human protein never before seen in nature but with enhanced function and the same safety as native protein. The research lays the groundwork for potential new therapies for a rare inherited disorder.
Nvidia unveiled new tools designed to make it easier for hospitals to integrate AI models related to medical imaging into their clinical workflows. The tools have been adopted by major cloud infrastructure providers, as well as healthcare providers and AI software companies. Some of these include Cincinnati Children’s Hospital, University of California San Francisco, England’s National Health Service and Qure.ai.
Google Cloud unveiled a new product suite to make medical imaging data more interoperable and useful via artificial intelligence. Hackensack Meridian Health has begun using it to detect metastasis in prostate cancer patients earlier, and Hologic is using it to strengthen its diagnostic platform that screens women for cervical cancer.
Dr. Mona Flores, Global Head of Medical AI at Nvidia, will deliver the keynote talk kicking off the MedCity INVEST Digital Health conference, scheduled for Wednesday, September 28, in Dallas and presented in collaboration with Health Wildcatters. Register today.
FASENRA® (benralizumab) injection, for subcutaneous use, 30 mg is indicated for the treatment of adult patients with eosinophilic granulomatosis with polyangiitis (EGPA). FASENRA provides a treatment option for HCPs to consider when managing this challenging disease.
The technology company is launching an alliance connecting the AI-driven medical imaging startups in its accelerator program to the GE Healthcare Edison Developer Program and Nuance AI Marketplace for diagnostic imaging.
The chipmaker touted a new framework that would allow hospitals and pharmaceutical companies to collaborate on AI projects without sharing sensitive data. Nvidia said the framework is already gaining traction with hospitals and drug developers.
A new partnership between Nvidia and the American College of Radiology will give a wider range of clinicians the ability to build, share and adapt their own AI models.
Updates to the company's Clara healthcare platform are trying to make it easier for clinicians to train and adapt deep learning algorithms, while also making the implementation process smoother.
During a presentation at Nvidia's GTC 2019 Conference in San Jose, Topol sketched out a vision of a world where this multi-modal data is collected and assessed from "the pre-womb to the tomb" and run through clinically validated algorithms that can reveal personalized insights and aid in more accurate diagnoses.