Industry News



07 Nov 2019
Global Automated Breast Ultrasound Systems Market to Surpass USD 1.8 Billion by 2025
The global automated breast ultrasound systems (ABUS) market was valued at over USD 0.68 billion in 2018 and is projected to grow at a CAGR 16.1% during the forecast period, 2019-2025 to surpass USD 1.8 billion by 2025, driven by increasing government expenditure and rising awareness about breast cancer. Initiatives such as free check-up camps and symposiums for raising awareness regarding early detection and diagnosis of breast cancer will lead to greater adoption of ABUS in the coming years. However, stringent regulations and guidelines for the approval of ABUS, coupled with the high cost of diagnostic procedure, could hamper the market growth during the forecast period.
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07 Nov 2019
CT System Receives FDA Clearance for AI-Based Image Reconstruction Technology
Canon Medical Systems USA, Inc. (Tustin, CA, USA; www.us.medical.canon) has received 510(k) clearance for its Advanced Intelligent Clear-IQ Engine (AiCE) for the Aquilion Precision, further expanding access to its new deep convolutional neural network (DCNN) image reconstruction technology. The technology, which is now available on Canon’s Aquilion Precision and Aquilion ONE/GENESIS Edition CT systems, uses a deep learning algorithm to differentiate signal from noise so that it can suppress noise while enhancing signal, thus improving CT image reconstruction.
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07 Nov 2019
AI-Powered MRI Image Enhancement Software Receives FDA Clearance
A new image processing software that utilizes proprietary deep learning algorithms to bring the latest imaging enhancement technology to existing scanners has received 510(k) clearance from the US Food and Drug Administration (FDA). The software named SubtleMR uses denoising and resolution enhancement to improve image quality and has been developed by Subtle Medical (Menlo Park, CA, USA; www.subtlemedical.com), a healthcare technology company focused on improving the quality, efficiency, and accessibility of medical imaging.
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06 Nov 2019
UCSF Launches Artificial Intelligence Center to Advance Medical Imaging
The University of California San Francisco {(UCSF) San Francisco, CA, USA; www.ucsf.edu} has announced the launch of a new center to accelerate the application of artificial intelligence (AI) technology to radiology, leveraging advanced computational techniques and industry collaborations to improve patient diagnoses and care. The Center for Intelligent Imaging, or ci2, will develop and apply AI to devise powerful new ways to look inside the body and to evaluate health and disease. The center aims to enable transformation via intelligent radiology, with the goal of again collaborating with the industry to become of the first institutions to bring medical imaging AI to the bedside.
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06 Nov 2019
Global Blood Gas and Electrolyte Analyzers Market to Surpass USD 2.1 Billion by 2025
The global blood gas and electrolyte analyzers market is projected to grow at a CAGR of 6.5% during the forecast period, 2018-2025 to reach a value of over USD 2.1 billion by 2025, driven mainly by the Bench Top segment which is anticipated to bring in healthy gains and add significant momentum to the market growth. The Bench Top segment is projected to grow at a CAGR of over 6.4% during the forecast period.
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06 Nov 2019
AI-Powered Diagnostics Software Guides Cardiologists during Angiography
Researchers are in the initial stages of a pivotal multi-center clinical trial to demonstrate the efficacy of AutocathFFR, a fully automated system that detects stenoses (narrowing) in the coronary arteries surrounding the heart. AutocathFFR provides cardiologists with the relevant physiological parameters that can help them in assessing the severity of their patients' condition and devise the optimal treatment strategy.
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06 Nov 2019
IoT-Enabled Healthcare Equipment Market Projected to Reach USD 69.7 Billion by 2023
The global IoT-enabled healthcare equipment market is projected to grow at the rate of 29.9% annually from USD 18.8 billion in 2018 to USD 69.7 billion in 2023, driven by digitization during the forecast period. Medical devices companies are transforming from device or consumable providers to disease and care management organizations. Digitization in acute or chronic care is greatly aided by IoT-enabled medical devices, such as subcutaneous drug delivery units, continuous glucose monitors and vitals monitoring equipment. The emergence of digital enterprises such as Google and Apple in the consumer health space has led to development of new opportunities and innovations for medical devices companies.
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05 Nov 2019
AI-Driven Software Uses CT Scans to Determine Extent of Brain Injury in Stroke Patients
A new study has shown that an artificial intelligence (AI) driven software can reliably tell doctors how much brain is injured in stroke patients using universally available CT scans, without the need for more complex advanced imaging.
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05 Nov 2019
AI in Medicine Projected to Reach USD 17.02 Billion by 2024
The artificial intelligence (AI) in medicine market was valued at USD 2.24 billion in 2018 and is projected to register a CAGR of 40.15% during the forecast period, 2019-2024 to reach a value of USD 17.02 billion by 2024. The rapidly increasing adoption of cloud computing techniques has facilitated the adoption of AI solutions for mining large amounts of data to identify mistakes in the present scenarios and offer alternative solutions in complex situations.
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04 Nov 2019
AI Tool Combined with Radiologists Identifies Breast Cancer with 90% Accuracy
An artificial intelligence (AI) tool trained by researchers on approximately one million screening mammography images has identified breast cancer with approximately 90% accuracy when combined with analysis by radiologists in a new study. Researchers from the NYU School of Medicine (New York City, NY, USA) and the NYU Center for Data Science examined the ability of a type of AI to add value to the diagnoses reached by a group of 14 radiologists as they reviewed 720 mammogram images.
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04 Nov 2019
AI System Uses Chest X-rays to Accurately Identify Collapsed Lungs
Researchers at the University of Waterloo (Waterloo, Canada) have developed a new assistive technology that can diagnose collapsed lungs, or pneumothorax, from chest X-rays with a higher degree of accuracy than radiologists. The system uses artificial intelligence (AI) software to search a huge database of X-ray images with known diagnoses for comparison to X-rays of new patients with unknown conditions. This approach enables the researchers to identify 75% of cases of collapsed lungs, as compared to medical specialists who diagnose less than 50% of cases using chest X-rays.
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17 Oct 2019
MEDICA Healthcare Forum to Present New State-of-the-Art Solutions
Visitors to this year’s MEDICA trade fair will be presented with groundbreaking innovations for tomorrow’s medical progress.
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17 Oct 2019
AI Algorithm Identifies Patients Who Can Benefit from Clot Removal Surgery
Researchers at the University of Texas Health Science Center have developed an algorithm that can help physicians outside of major stroke treatment centers assess if a patient suffering from ischemic stroke could benefit from an endovascular procedure for removing a clot blocking an artery.
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16 Oct 2019
Imaging Societies Publish Statement on Use of AI in Radiology
Experts in the use of artificial intelligence (AI) in radiology from many of the world’s leading radiology, medical physics and imaging informatics groups have published an aspirational statement to guide the development of AI in radiology.
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16 Oct 2019
AI System Detects Key Findings in Chest X-rays of Pneumonia Patients
Researchers from Intermountain Healthcare and Stanford University have demonstrated that it takes just 10 seconds for an automated artificial intelligence- (AI) based chest X-ray interpretation model to accurately identify key findings in chest X-rays of patients suspected of having pneumonia.
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15 Oct 2019
Siemens Healthineers’ AI-Based Chest CT Software Receives US FDA Clearance
The US Food and Drug Administration (FDA) has cleared three modules of AI-Rad Companion Chest CT, an intelligent software assistant from Siemens Healthineers that brings artificial intelligence (AI) to computed tomography (CT).
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15 Oct 2019
Agfa Showcases AI and DR Portfolio at JFR 2019
Agfa Radiology Solutions showcased its artificial intelligence (AI) and digital radiography (DR) product portfolio at France’s national radiology congress, the Journées Francophones de Radiologie (JFR), held in Paris on October 11-14.
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03 Oct 2019
Researchers Use Machine Learning to Increase Resolution of OCT Imaging
Biomedical engineers at Duke University have devised a method for increasing the resolution of optical coherence tomography (OCT) down to a single micrometer scale in all directions.
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03 Oct 2019
New Mount Sinai BMEII Center to Focus on AI in Advanced Imaging
The Mount Sinai Health System has announced the creation of the Biomedical Engineering and Imaging Institute (BMEII), the first of its kind in New York City, and one of the few in the world.
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03 Oct 2019
NIH Awards USD 1.6 Million Grant to Subtle Medical
The National Institutes of Health has awarded healthcare technology company Subtle Medical a Fast-Track Small Business Innovation Research (SBIR) grant of USD 1.6 million.
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01 Oct 2019
RSNA Announces Intracranial Hemorrhage AI Challenge
The Radiological Society of North America has launched its third annual artificial intelligence (AI) challenge: the RSNA Intracranial Hemorrhage Detection and Classification Challenge.
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