Qure.ai Partners with Teleradiology Solutions for Smarter Diagnoses
By MedImaging International staff writers Posted on 06 Jun 2018 |
Healthcare artificial intelligence (AI) provider, Qure.ai (Maharashtra, India) has partnered with Teleradiology Solutions (Bangalore, India) and Telerad Tech (Bangalore, India) to enable smarter and faster diagnoses of X-ray and CT scan data, and reduce costs.
Qure.ai's deep neural networks can understand and interpret medical images with unprecedented accuracy and enable machines to perform routine diagnostics, thus improving healthcare outcomes and costs. TRS, a global pioneer in remote radiology interpretation and telehealth, offers interpretation of all non-invasive imaging studies (CT, MRI, PET, nuclear medicine studies, digitized X-rays, ECG, angiography, etc.), and 3-D reconstructions of CT scans. Since its inception in 2002, TRS has reported scans for over five million patients and currently caters to the requirements of 150 hospitals and healthcare centers in more than 20 countries. Its RADSpa platform has been deployed in 24 countries and has processed more than 20 million studies and billions of images. T2 is a global health IT company and AI-enabled RIS-PACS provider for teleradiology, and for medical imaging centers and hospitals of all sizes, globally.
TRS' clinical expertise and T2’s RADSpa platform consolidates radiology report information from diverse sources, allowing radiologists to review these reports from anywhere and anytime. Qure.ai's chest X-ray technology will be integrated with T2's proprietary RIS PACS platform - RADSpa that is used by the company to provide teleradiology services globally. By integrating Qure.ai's algorithms that automatically generate abnormality reports from X-rays and CT scans, radiologists and hospitals using RADspa will be able to use cutting-edge algorithms to prioritize care, make smarter and faster diagnoses, and reduce costs. Qure.ai's chest X-ray solution can automatically screen for abnormal chest X-rays and tuberculosis; the company’s automated reads can significantly impact the screening protocol for tuberculosis across the world.
"At Qure.ai, we are expanding the reach of our AI algorithms to help medical professionals deliver better outcomes to their patients," said Prashant Warier, Co-Founder and CEO, Qure.ai. "TRS and Telerad Tech are pioneers in their respective domains, and we are excited about the impact this partnership will have on the millions of patients' lives they touch."
"Making sure that doctors and hospitals have the necessary and highest quality information has to be the topmost priority," said Dr Arjun Kalyanpur, CEO Teleradiology Solutions. "Diseases that are of public health importance worldwide such as tuberculosis, are within our focus of interest with a goal of providing high-quality diagnostics to facilitate early detection. Qure.ai, TRS and T2 have a shared vision when it comes to achieving this goal, and we strongly believe this will be highly beneficial for doctors, hospitals and patients alike."
Related Links:
Qure.ai
Teleradiology Solutions
Telerad Tech
Qure.ai's deep neural networks can understand and interpret medical images with unprecedented accuracy and enable machines to perform routine diagnostics, thus improving healthcare outcomes and costs. TRS, a global pioneer in remote radiology interpretation and telehealth, offers interpretation of all non-invasive imaging studies (CT, MRI, PET, nuclear medicine studies, digitized X-rays, ECG, angiography, etc.), and 3-D reconstructions of CT scans. Since its inception in 2002, TRS has reported scans for over five million patients and currently caters to the requirements of 150 hospitals and healthcare centers in more than 20 countries. Its RADSpa platform has been deployed in 24 countries and has processed more than 20 million studies and billions of images. T2 is a global health IT company and AI-enabled RIS-PACS provider for teleradiology, and for medical imaging centers and hospitals of all sizes, globally.
TRS' clinical expertise and T2’s RADSpa platform consolidates radiology report information from diverse sources, allowing radiologists to review these reports from anywhere and anytime. Qure.ai's chest X-ray technology will be integrated with T2's proprietary RIS PACS platform - RADSpa that is used by the company to provide teleradiology services globally. By integrating Qure.ai's algorithms that automatically generate abnormality reports from X-rays and CT scans, radiologists and hospitals using RADspa will be able to use cutting-edge algorithms to prioritize care, make smarter and faster diagnoses, and reduce costs. Qure.ai's chest X-ray solution can automatically screen for abnormal chest X-rays and tuberculosis; the company’s automated reads can significantly impact the screening protocol for tuberculosis across the world.
"At Qure.ai, we are expanding the reach of our AI algorithms to help medical professionals deliver better outcomes to their patients," said Prashant Warier, Co-Founder and CEO, Qure.ai. "TRS and Telerad Tech are pioneers in their respective domains, and we are excited about the impact this partnership will have on the millions of patients' lives they touch."
"Making sure that doctors and hospitals have the necessary and highest quality information has to be the topmost priority," said Dr Arjun Kalyanpur, CEO Teleradiology Solutions. "Diseases that are of public health importance worldwide such as tuberculosis, are within our focus of interest with a goal of providing high-quality diagnostics to facilitate early detection. Qure.ai, TRS and T2 have a shared vision when it comes to achieving this goal, and we strongly believe this will be highly beneficial for doctors, hospitals and patients alike."
Related Links:
Qure.ai
Teleradiology Solutions
Telerad Tech
Latest Industry News News
- Bayer and Google Partner on New AI Product for Radiologists
- Samsung and Bracco Enter Into New Diagnostic Ultrasound Technology Agreement
- IBA Acquires Radcal to Expand Medical Imaging Quality Assurance Offering
- International Societies Suggest Key Considerations for AI Radiology Tools
- Samsung's X-Ray Devices to Be Powered by Lunit AI Solutions for Advanced Chest Screening
- Canon Medical and Olympus Collaborate on Endoscopic Ultrasound Systems
- GE HealthCare Acquires AI Imaging Analysis Company MIM Software
- First Ever International Criteria Lays Foundation for Improved Diagnostic Imaging of Brain Tumors
- RSNA Unveils 10 Most Cited Radiology Studies of 2023
- RSNA 2023 Technical Exhibits to Offer Innovations in AI, 3D Printing and More
- AI Medical Imaging Products to Increase Five-Fold by 2035, Finds Study
- RSNA 2023 Technical Exhibits to Highlight Latest Medical Imaging Innovations
- AI-Powered Technologies to Aid Interpretation of X-Ray and MRI Images for Improved Disease Diagnosis
- Hologic and Bayer Partner to Improve Mammography Imaging
- Global Fixed and Mobile C-Arms Market Driven by Increasing Surgical Procedures
- Global Contrast Enhanced Ultrasound Market Driven by Demand for Early Detection of Chronic Diseases