Latest News
FDA Clears Koios DS™ Breast 2.0 to Assist Physicians with AI-Based Software
Koios Medical, the leader in ultrasound diagnosis decision support software, announces its second 510(k) clearance from the U.S. Food and Drug Administration (FDA).
Koios DS (Decision Support) Breast 2.0 is intended for use to assist physicians analyzing breast ultrasound images and aligns a machine learning generated probability of malignancy with the appropriate BI-RADS category.
This milestone is an important step in advancing the company’s mission of empowering physicians to improve diagnostic accuracy. Now cleared for use at the point of care (or connected to an image viewer for studies stored on PACS), Koios Medical’s advancements represent a huge leap forward in using artificial intelligence in healthcare by bringing the power of deep learning to physicians’ fingertips. Koios DS Breast 2.0 represents the most advanced AI-based diagnostic technology for ultrasound image analysis to date. This patented software uses an ensemble of algorithms to aid the early detection of disease while also reducing biopsies of benign tissue.
In a recent reader study involving 15 physicians with relevant experience up to 39 years, each randomly analyzed 900 cases twice, separated by a one-month “washout period.” Physicians utilizing the Koios DS 2.0 AI software experienced a statistically significant improvement in accuracy as measured by area under the ROC (receiver operating characteristic) curve (AUC), while simultaneously reducing both inter and intra-operator variability.
“We are seeing the promise of machine learning as a physician’s assistant coming to fruition. This will undoubtedly improve quality, outcomes, and patient experiences—and ultimately save lives. Koios DS Breast 2.0 is proving that a system trained by hundreds of thousands of images linked to their ground truth can catch many more cancers earlier, while simultaneously reducing benign biopsies and all the anxiety, complications, and associated expense. Smart ultrasound is a second set of eyes that achieves what was previously unthinkable,” says Koios Medical CEO Chad McClennan.
Koios DS Breast 2.0 can be used in conjunction with most major PACS platforms and is directly available on the LOGIQTM E10, GE Healthcare’s next generation digital ultrasound system that integrates artificial intelligence, cloud connectivity, and advanced algorithms to acquire and reconstruct data. Machine generated results can be exported directly into a patient’s record. Koios Medical continues to experiment with thyroid ultrasound image data and expects to add to its offering later this year.
SOURCE Koios Medical
Blockchain
Global Collaboration and Elite Team Drive: TwyAe Advances into the New Era of Crypto Finance
TwyAe Exchange
Blockchain
Frontiers of Fintech: Innovative Practices of SILEGX Exchange
SILEGX Exchange
Blockchain
Bybit Expands bbSOL Yield Opportunities Through Strategic DeFi Partnerships
-
Blockchain Press Releases6 days ago
Notabene Raises $14.5M in Series B Funding Led by DRW VC to Drive the Future of Stablecoins and Payments
-
Blockchain Press Releases5 days ago
Vantage Markets Named Leading Broker in Investing.com’s Latest Rankings for 2024 during the US Election Period
-
Blockchain5 days ago
Money Transfer Apps Industry Worth $47.67 Billion by 2029 – Regional Markets Analysis and Profiles of Leading Players PayPal, Western Union Financial Services, Wise Payments, Remitly, WorldRemit, Revolut & More
-
Blockchain Press Releases5 days ago
Blockchain for Good Alliance Hosts Web3 Oscar, Celebrating Innovators Advancing UN’s Sustainable Development Goals
-
Blockchain Press Releases6 days ago
Bybit WSOT 2024 Shatters Records with $100 Billion in Trading Volume, Redefining Crypto Trading Competition
-
Blockchain Press Releases5 days ago
Vantage Australia Celebrates 15 Years of Trading Innovation with Groundbreaking Anniversary Video
-
Blockchain6 days ago
LAUD Announces Data-Driven Marketing Solutions to Empower Fintech Companies
-
Blockchain4 days ago
This Week in Finance News: 11 Stories You Need to See