{"id":800520,"date":"2025-01-14T08:33:30","date_gmt":"2025-01-14T13:33:30","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/qt-imaging-holdings-introduces-machine-learning-enabled-image-interpolation-algorithm-to-substantially-reduce-scan-time\/"},"modified":"2025-01-14T08:33:30","modified_gmt":"2025-01-14T13:33:30","slug":"qt-imaging-holdings-introduces-machine-learning-enabled-image-interpolation-algorithm-to-substantially-reduce-scan-time","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/qt-imaging-holdings-introduces-machine-learning-enabled-image-interpolation-algorithm-to-substantially-reduce-scan-time\/","title":{"rendered":"QT Imaging Holdings Introduces Machine Learning-Enabled Image Interpolation Algorithm to Substantially Reduce Scan Time"},"content":{"rendered":"

<\/p>\n

QT Imaging Holdings Introduces Machine Learning-Enabled Image Interpolation Algorithm to Substantially Reduce Scan Time<\/b><\/p>\n

NOVATO, Calif.–(BUSINESS WIRE<\/a>)–
\nQT Imaging Holdings, Inc. (NASDAQ:QTI) (\u201cQTI\u201d) a medical device company engaged in research, development, and commercialization of innovative body imaging systems is pleased to announce the release of a machine learning-enabled image interpolation algorithm designed to significantly reduce scan times by approximately 50%. This advancement is expected to enhance patient comfort by decreasing time spent on the scanner and improve operational efficiency by increasing the number of patients scanned within a given timeframe.<\/p>\n

\nThe advanced machine learning algorithm enables sophisticated image interpolation, allowing the system to skip every other scan level while accurately preserving high image quality. This technological breakthrough reduces overall scan time by nearly half without sacrificing diagnostic accuracy, showcasing the ability of QTI\u2019s technology to streamline imaging processes, optimize diagnostic workflows, and deliver superior patient outcomes, reinforcing its position at the forefront of medical imaging innovation. The results of this groundbreaking development will be presented for the first time at the SPIE Medical Imaging 2025 conference in San Diego, California.<\/p>\n

\n“Our commitment to advancing QTI\u2019s technology and revolutionizing medical imaging is exemplified by this development,” said Dr. Bilal Malik, Chief Science Officer at QTI. “By integrating machine learning into our imaging systems, we ensure its application is to create meaningful improvements in patient experience by reducing discomfort and scan times, while simultaneously streamlining workflows to enhance efficiency for healthcare providers ”<\/p>\n

\nThis innovation aligns with QTI’s strategy to improve health outcomes by making medical imaging safe, affordable, accessible, and centered on patient experience. The company continues to expand its clinical and research and development efforts, including collaborations with leading institutions such as the National Institutes of Health (NIH), Sunnybrook Health Sciences Centre, and the Stephenson Cancer Center at the University of Oklahoma, to advance precision in cancer detection and treatment.<\/p>\n

About QT Imaging Holdings, Inc.<\/b><\/p>\n

\nQT Imaging Holdings, Inc. is a public (NASDAQ: QTI) medical device company engaged in research, development, and commercialization of innovative body imaging systems using low frequency sound waves. QT Imaging Holdings, Inc. strives to improve global health outcomes. Its strategy is predicated upon the fact that medical imaging is critical to the detection, diagnosis, and treatment of disease and that it should be safe, affordable, accessible, and centered on the patient\u2019s experience. For more information on QT Imaging Holdings, Inc., please visit the company\u2019s website at www.qtimaging.com<\/a>.<\/p>\n

\nBreast Acoustic CT\u2122 is a trademark of an affiliate of QT Imaging Holdings, Inc.<\/p>\n

Forward Looking Statements<\/b><\/p>\n

\nThis press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Such statements contain words such as \u201cwill,\u201d and \u201cexpect,\u201d or the negative thereof or comparable terminology, and include (without limitation) statements regarding plans for QT Imaging Holdings\u2019 product developments and introduction. Forward-looking statements involve certain risks and uncertainties, and actual results may differ materially from those discussed in any such statement. These risks include, but are not limited to: research results from the use of the Breast Acoustic CT\u2122 Scanner, the ability of QT Imaging Holdings to sell and deploy the Breast Acoustic CT\u2122 Scanner, the ability to extend product offerings into new areas or products, the ability to commercialize technology, unexpected occurrences that deter the full documentation and \u201cbring to market\u201d plan for products, trends and fluctuations in the industry, changes in demand and purchasing volume of customers, unpredictability of suppliers, the ability to attract and retain qualified personnel and the ability to move product sales to production levels. Additional factors that could cause actual results to differ are discussed under the heading \u201cRisk Factors\u201d and in other sections of QT Imaging Holding\u2019s (and its predecessor, GigCapital5, Inc.) filings with the SEC, and in its other current and periodic reports filed or furnished from time to time with the SEC. All forward-looking statements in this press release are made as of the date hereof, based on information available to QT Imaging Holdings as of the date hereof, and QT Imaging Holdings assumes no obligation to update any forward-looking statement.<\/p>\n

\"\"<\/p>\n

View source version on businesswire.com: <\/span>https:\/\/www.businesswire.com\/news\/home\/20250114511801\/en\/<\/a><\/span><\/p>\n

\nFor media inquiries, please contact:<\/p>\n

Susan Schaffler
\n<\/b>
Head of Communications
\n
Susan.Schaffler@qtimaging.com<\/a><\/p>\n

Stas Budagov
\n<\/b>
Chief Financial Officer
\n
Stas.Budagov@qtimaging.com<\/a><\/p>\n

\n\u00a0<\/p>\n

KEYWORDS:<\/b> United States North America California<\/p>\n

INDUSTRY KEYWORDS:<\/b> General Health Medical Devices Health Radiology Health Technology<\/p>\n

MEDIA:<\/b><\/p>\n\n\n\n\n
Logo<\/b><\/font><\/td>\n<\/tr>\n
\"Logo\"<\/td>\n<\/tr>\n
<\/font><\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

QT Imaging Holdings Introduces Machine Learning-Enabled Image Interpolation Algorithm to Substantially Reduce Scan Time NOVATO, Calif.–(BUSINESS WIRE)– QT Imaging Holdings, Inc. (NASDAQ:QTI) (\u201cQTI\u201d) a medical device company engaged in research, development, and commercialization of innovative body imaging systems is pleased to announce the release of a machine learning-enabled image interpolation algorithm designed to significantly reduce scan times by approximately 50%. This advancement is expected to enhance patient comfort by decreasing time spent on the scanner and improve operational efficiency by increasing the number of patients scanned within a given timeframe. The advanced machine learning algorithm enables sophisticated image interpolation, allowing the system to skip every other scan level while accurately preserving high image quality. This technological breakthrough reduces overall scan … <\/p>\n

Continue reading “QT Imaging Holdings Introduces Machine Learning-Enabled Image Interpolation Algorithm to Substantially Reduce Scan Time”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-800520","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"\nQT Imaging Holdings Introduces Machine Learning-Enabled Image Interpolation Algorithm to Substantially Reduce Scan Time - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/qt-imaging-holdings-introduces-machine-learning-enabled-image-interpolation-algorithm-to-substantially-reduce-scan-time\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"QT Imaging Holdings Introduces Machine Learning-Enabled Image Interpolation Algorithm to Substantially Reduce Scan Time - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"QT Imaging Holdings Introduces Machine Learning-Enabled Image Interpolation Algorithm to Substantially Reduce Scan Time NOVATO, Calif.–(BUSINESS WIRE)– QT Imaging Holdings, Inc. (NASDAQ:QTI) (\u201cQTI\u201d) a medical device company engaged in research, development, and commercialization of innovative body imaging systems is pleased to announce the release of a machine learning-enabled image interpolation algorithm designed to significantly reduce scan times by approximately 50%. This advancement is expected to enhance patient comfort by decreasing time spent on the scanner and improve operational efficiency by increasing the number of patients scanned within a given timeframe. The advanced machine learning algorithm enables sophisticated image interpolation, allowing the system to skip every other scan level while accurately preserving high image quality. 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