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22 Jan 2020
Global Point of Care Testing (POCT) Market to Reach USD 46.7 Billion by 2024
 The global point of care testing (POCT) market is expected to surpass USD 37 billion by 2025, driven mainly by the migration of POCT from the hospital environment to a range of medical environments, including the workplace, home, disaster care and most recently, convenience clinics. POCT now appears to be headed for a bigger role in diagnosis and monitoring patient care. Additionally, growing awareness about early disease diagnosis and prevention has stimulated the demand for POCT for detecting cancer and infectious disease in the early stages. Moreover, the rising incidence of infectious diseases and chronic conditions, such as cardiovascular diseases and diabetes in the developing countries such as India and China, is stimulating the demand for POCT services.
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16 Jan 2020
Radiomic Algorithm Predicts if Patient’s Cancer Can Return 10 Years After Treatment
 A new study by researchers at Penn Medicine (Philadelphia, PA, USA) has found that Magnetic Resonance Imaging (MRI) and an emerging field of medicine called radiomics — which uses algorithms to extract a large amount of features from medical images — could help to characterize the heterogeneity of cancer cells within a tumor and allow for a better understanding of the causes and progression of a person’s individual disease.
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13 Jan 2020
PENTAX Medical Clears CE Mark for New AI-Assisted Polyp Detector
 PENTAX Medical (Tokyo, Japan) has cleared CE mark for DISCOVERY, its Artificial Intelligence (AI) assisted polyp detector designed to support endoscopists in finding potential polyps during a colorectal examination.
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07 Jan 2020
New AI Model Identifies Women Facing Future Risk of Breast Cancer
 Researchers from the Karolinska Institute (Stockholm, Sweden) have developed a sophisticated type of artificial intelligence (AI) which can outperform existing models at predicting which women are at future risk of breast cancer.
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07 Jan 2020
Global EEG Devices Market to Reach USD 2.20 Billion in 2027
 The global EEG (Electroencephalography) devices market was valued at USD 1.12 billion in 2018 and is projected to grow at a CAGR of 7.8 % over the forecast period 2019-2027 to reach USD 2.20 billion in 2027, driven mainly by the increasing prevalence of sleep disorders.

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06 Jan 2020
Google AI System Beats Doctors in Detecting Breast Cancer
 A team of researchers from Google Health (Palo Alto, CA, USA) have developed an artificial intelligence (AI) model which can spot breast cancer in de-identified screening mammograms (where identifiable information has been removed) with greater accuracy, fewer false positives, and fewer false negatives than experts. This can find future applications wherein the model could support radiologists performing breast cancer screenings.
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03 Jan 2020
Nova Biomedical Launches New BioProfile FLEX2 On-Line Autosampler
 Nova Biomedical (Waltham, MA, USA) has launched the BioProfile FLEX2 On-Line Autosampler (OLS), a modular system that connects as many as 10 bioreactors to one FLEX2 analyzer for up to three weeks of walkaway, automated sampling, analysis, and feedback control of key cell culture analytes. The FLEX2 measures up to 16 tests, including pH, gases, metabolites, osmolality, cell density, and cell viability.
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03 Jan 2020
Global Hematology Diagnostic Devices and Equipment Market to Reach USD 2.35 Billion by 2022
 The global hematology diagnostic devices and equipment market was valued at about USD 1.9 billion in 2018 and is projected to grow to at a CAGR of 5.5% to USD 2.35 billion in 2022. The market growth is driven mainly by an increase in the use of hematology diagnostic devices due to the rising prevalence of blood disorders which affect millions of people each year across the world, irrespective of age, race, and sex.
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03 Jan 2020
Global Immunochemistry Diagnostic Devices and Equipment Market to Reach USD 19.24 Billion by 2022
 The global immunochemistry diagnostic devices and equipment market was valued at about USD 16.7 billion in 2018 and is projected to grow at a CAGR of 3.6% to USD 19.24 billion in 2022. The market growth will be driven by an increase in the incidence of target diseases, such as viral infections, cardiovascular diseases, cancer or hormonal disorders worldwide, mainly due to poor lifestyle choices.
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02 Jan 2020
AI Outperforms Radiologists in Detecting Tiny Brain Hemorrhages on CT Scans
 Scientists at UC San Francisco (San Francisco, CA, USA) and UC Berkeley (Berkeley, CA, USA) have developed an algorithm that performed better than two out of four expert radiologists in finding tiny brain hemorrhages in head scans. The algorithm could help doctors treat patients with traumatic brain injuries (TBI), strokes and aneurysms.
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02 Jan 2020
New Automated Machine Learning Model Uses Ultrasound to Improve Thyroid Cancer Diagnosis
 A new study by researchers from the Sidney Kimmel Cancer Center -- Jefferson Health (Philadelphia, PA, USA) has demonstrated that a non-invasive method of ultrasound imaging, combined with a Google-platform machine-learning algorithm, could be used as a rapid and inexpensive first screen for thyroid cancer.
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01 Jan 2020
New AI Algorithm Predicts Which Breast Cancer Patients Can Benefit From Additional Therapy
 Researchers from the Case Western Reserve University (Cleveland, OH, USA) have developed a new artificial intelligence (AI) algorithm that could help better determine which patients diagnosed with the pre-malignant breast cancer (commonly referred to as stage 0) are likely to progress to invasive breast cancer and might benefit from additional therapy over and above surgery alone.
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01 Jan 2020
Survey Finds Students and Surgeons More Skeptical About Artificial Intelligence
 A survey on the future of radiology among radiologists, medical students and surgeons has found that students and surgeons tend to be more skeptical about artificial intelligence (AI), while radiologists fear that other disciplines can take over.
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31 Dec 2019
MIT Researchers Build Machine Learning Model that Quickly Generates Brain Scan Templates to Aid Diagnosis
 A team of researchers from the Massachusetts Institute of Technology (Cambridge, MA, USA) have devised a method that accelerates the process for creating and customizing templates used in medical-image analysis, to guide disease diagnosis.
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31 Dec 2019
AI-based Software Analyzes Cancer Cells from Digitized Pathology Slides to Improve Diagnoses
 Researchers from UT Southwestern (Dallas, TX, USA) have developed a software tool that uses artificial intelligence (AI) to recognize cancer cells from digital pathology images, allowing clinicians to predict patient outcomes.
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30 Dec 2019
AGFA to Sell Part of HealthCare IT Business to Dedalus Holding
 The Agfa-Gevaert Group (Mortsel, Belgium) has entered into exclusive negotiations to sell a part of its HealthCare IT business to Dedalus Holding S.p.A. (Florence, Italy). The HealthCare IT business consists of Healthcare Information Solutions and Integrated Care activities, as well as Imaging IT activities, all of which are tightly integrated into Healthcare Information Solutions activities, mainly in the DACH region, France and Brazil.
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30 Dec 2019
Global Anesthesia Machines (Mobile & Standalone) Market to Reach USD 7.78 Billion by 2022
 The global anesthesia machines market was valued at about USD 6.7 billion in 2018 and is projected to grow at a CAGR of 3.8% to USD 7.78 billion in 2022, driven mainly by an increasing number of surgeries worldwide.
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27 Dec 2019
Artificial Intelligence Boosts ADHD Detection Using MRI
 Researchers from the University of Cincinnati College of Medicine (Cincinnati, OH, USA) and Cincinnati Children's Hospital Medical Center (Cincinnati, OH, USA) have proved that deep learning, a type of artificial intelligence, can boost the power of MRI in predicting attention deficit hyperactivity disorder (ADHD). The researchers believe that the approach could also have applications for other neurological conditions.
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27 Dec 2019
New AI Tool Could Radically Improve Diagnosis and Treatment of Breast Cancer
 Researchers at the University of Auckland (Auckland, New Zealand) are combining machine learning and state-of-the-art imaging to develop an automated analysis technique that will radically improve the diagnosis and treatment of breast cancer. The researchers received USD 1.05 million in philanthropic funding to advance research in which they have developed biomechanical analysis techniques that automatically merges information from different medical images of the breast. This will provide clinicians with more information about any abnormality, as suspicious lesions and warning signs for cancer can appear differently in the various types of images.
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26 Dec 2019
FDA Public Workshop to Discuss Emerging Applications of AI in Radiological Imaging
 The US Food and Drug Administration {(FDA) Silver Spring, MD, USA} has announced a public workshop entitled "Evolving Role of Artificial Intelligence in Radiological Imaging" aimed at discussing emerging applications of Artificial Intelligence (AI) in radiological imaging, including AI devices intended to automate the diagnostic radiology workflow as well as guided image acquisition.
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26 Dec 2019
NVIDIA CLARA and Fovia Ai to Bring AI Annotation Tools to Physicians Everywhere
 Fovia Ai, Inc. (Palo Alto, CA, USA), a leader in advanced visualization technology, has announced that it is working with NVIDIA (Santa Clara, CA, USA) to integrate Fovia Ai's artificial intelligence technology with NVIDIA AI-Assisted Annotation, powered by NVIDIA Clara. The integration will accelerate the delivery of AI-assisted workflows to radiologists by leveraging Fovia's High Definition Volume Rendering installed base in leading PACS viewers and nearly two decades of radiology integration experience.
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