QT Imaging Holdings Introduces Machine Learning-Enabled Image Interpolation Algorithm to Substantially Reduce Scan Time
QT Imaging Holdings (NASDAQ:QTI) has announced the release of a new machine learning-enabled image interpolation algorithm that reduces scan times by approximately 50%. The technology allows the system to skip alternate scan levels while maintaining high image quality and diagnostic accuracy.
The advancement aims to enhance patient comfort through shorter scanning times and improve operational efficiency by increasing patient throughput. The company will present this development at the SPIE Medical Imaging 2025 conference in San Diego.
QTI continues to expand its clinical and R&D efforts through collaborations with institutions including the National Institutes of Health, Sunnybrook Health Sciences Centre, and the Stephenson Cancer Center at the University of Oklahoma, focusing on advancing cancer detection and treatment precision.
QT Imaging Holdings (NASDAQ:QTI) ha annunciato il rilascio di un nuovo algoritmo di interpolazione delle immagini abilitato al machine learning che riduce i tempi di scansione di circa il 50%. La tecnologia consente al sistema di saltare livelli di scansione alternativi mantenendo alta la qualità delle immagini e l'accuratezza diagnostica.
Questo progresso mira a migliorare il comfort del paziente attraverso tempi di scansione più brevi e a migliorare l'efficienza operativa aumentando il numero di pazienti trattati. L'azienda presenterà questo sviluppo alla conferenza SPIE Medical Imaging 2025 a San Diego.
QTI continua a espandere i suoi sforzi clinici e di ricerca e sviluppo attraverso collaborazioni con istituzioni come i National Institutes of Health, il Sunnybrook Health Sciences Centre e il Stephenson Cancer Center dell'Università dell'Oklahoma, concentrandosi sul miglioramento della precisione nella rilevazione e nel trattamento del cancro.
QT Imaging Holdings (NASDAQ:QTI) ha anunciado el lanzamiento de un nuevo algoritmo de interpolación de imágenes habilitado por aprendizaje automático que reduce los tiempos de escaneo en aproximadamente un 50%. La tecnología permite al sistema omitir niveles de escaneo alternos mientras mantiene alta la calidad de la imagen y la precisión diagnóstica.
El avance tiene como objetivo mejorar la comodidad del paciente a través de tiempos de escaneo más cortos y mejorar la eficiencia operativa aumentando el flujo de pacientes. La compañía presentará este desarrollo en la conferencia SPIE Medical Imaging 2025 en San Diego.
QTI continúa expandiendo sus esfuerzos clínicos y de I+D a través de colaboraciones con instituciones como los Institutos Nacionales de Salud, el Sunnybrook Health Sciences Centre y el Stephenson Cancer Center de la Universidad de Oklahoma, enfocándose en avanzar en la detección y el tratamiento del cáncer.
QT Imaging Holdings (NASDAQ:QTI)는 스캔 시간을 약 50% 단축하는 새로운 머신 러닝 기반 이미지 보간 알고리즘의 출시를 발표했습니다. 이 기술은 시스템이 고품질 이미지와 진단 정확도를 유지하면서 교차 스캔 레벨을 건너뛸 수 있도록 합니다.
이 발전은 짧은 스캔 시간을 통해 환자의 편안함을 향상하고 환자 수를 증가시켜 운영 효율성을 개선하는 것을 목표로 하고 있습니다. 이 회사는 샌디에이고에서 열리는 SPIE Medical Imaging 2025 컨퍼런스에서 이 개발을 발표할 예정입니다.
QTI는 국립 보건원(NIH), 써니브룩 건강 과학 센터, 오클라호마 대학교의 스티븐슨 암 센터를 포함한 기관들과의 협력을 통해 임상 및 연구 개발 노력을 지속적으로 확대하며, 암 탐지 및 치료 정밀도를 향상하는 데 주력하고 있습니다.
QT Imaging Holdings (NASDAQ:QTI) a annoncé le lancement d'un nouvel algorithme d'interpolation d'images basé sur l'apprentissage automatique qui réduit les temps de scan d'environ 50 %. La technologie permet au système de sauter des niveaux de scan alternatifs tout en maintenant une haute qualité d'image et une précision diagnostique.
Cette avancée vise à améliorer le confort des patients grâce à des temps de scan réduits et à accroître l'efficacité opérationnelle en augmentant le débit de patients. L'entreprise présentera ce développement lors de la conférence SPIE Medical Imaging 2025 à San Diego.
QTI continue d'élargir ses efforts cliniques et de R&D grâce à des collaborations avec des institutions telles que les National Institutes of Health, le Sunnybrook Health Sciences Centre et le Stephenson Cancer Center de l'Université d'Oklahoma, en se concentrant sur l'amélioration de la détection et de la précision du traitement du cancer.
QT Imaging Holdings (NASDAQ:QTI) hat die Veröffentlichung eines neuen auf maschinellem Lernen basierenden Bildinterpolationsalgorithmus angekündigt, der die Scanzeiten um etwa 50 % verkürzt. Diese Technologie ermöglicht es dem System, alternative Scanebenen zu überspringen und dabei eine hohe Bildqualität und diagnostische Genauigkeit aufrechtzuerhalten.
Der Fortschritt zielt darauf ab, den Patientenkomfort durch kürzere Scanzeiten zu erhöhen und die betriebliche Effizienz durch eine erhöhte Patientenanzahl zu verbessern. Das Unternehmen wird diese Entwicklung auf der SPIE Medical Imaging 2025 Konferenz in San Diego präsentieren.
QTI setzt seine klinischen und Forschungs- und Entwicklungsanstrengungen durch Kooperationen mit Institutionen wie den National Institutes of Health, dem Sunnybrook Health Sciences Centre und dem Stephenson Cancer Center der Universität von Oklahoma fort, wobei der Fokus auf der Verbesserung der Krebsfrüherkennung und der Behandlungsgenauigkeit liegt.
- New algorithm reduces scan times by 50%, potentially increasing patient throughput and revenue
- Maintains diagnostic accuracy while improving operational efficiency
- Partnerships with major healthcare institutions for R&D advancement
- None.
Insights
The introduction of QTI's machine learning-enabled image interpolation algorithm represents a transformative advancement in medical imaging efficiency. The 50% reduction in scan time addresses two critical industry pain points: patient throughput and comfort. By leveraging AI to intelligently skip alternate scan levels while maintaining image quality, this innovation could potentially double daily patient capacity without additional hardware investments.
From a technical perspective, this advancement could significantly improve the return on investment (ROI) for healthcare facilities. Faster scans mean more patients can be examined per day, potentially increasing revenue per machine. The preservation of image quality while reducing scan time by half demonstrates sophisticated deep learning capabilities that could position QTI as a leader in AI-enhanced medical imaging.
The validation through prestigious research partnerships with the NIH and major cancer centers adds credibility to this technological breakthrough. For a
The operational implications of this technology are substantial for healthcare providers. With imaging departments often being significant revenue centers, the ability to scan twice as many patients without compromising quality directly impacts the bottom line. A 50% reduction in scan time could translate to:
- Increased patient throughput and revenue potential
- Reduced wait times and improved patient satisfaction scores
- Better resource utilization and staff efficiency
The workflow optimization aspect is particularly valuable in today's healthcare environment where efficiency and cost management are crucial. This innovation could help facilities better manage increasing imaging demand without additional capital expenditure, potentially improving profit margins and competitive positioning in their markets.
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 time by nearly half without sacrificing diagnostic accuracy, showcasing the ability of QTI’s 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
"Our commitment to advancing QTI’s 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 "
This 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
About QT Imaging Holdings, Inc.
QT 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’s experience. For more information on QT Imaging Holdings, Inc., please visit the company’s website at www.qtimaging.com.
Breast Acoustic CT™ is a trademark of an affiliate of QT Imaging Holdings, Inc.
Forward Looking Statements
This 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 “will,” and “expect,” or the negative thereof or comparable terminology, and include (without limitation) statements regarding plans for QT Imaging Holdings’ 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™ Scanner, the ability of QT Imaging Holdings to sell and deploy the Breast Acoustic CT™ 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 “bring to market” 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 “Risk Factors” and in other sections of QT Imaging Holding’s (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.
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For media inquiries, please contact:
Susan Schaffler
Head of Communications
Susan.Schaffler@qtimaging.com
Stas Budagov
Chief Financial Officer
Stas.Budagov@qtimaging.com
Source: QT Imaging Holdings, Inc.
FAQ
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