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Girl, 9, has her sight saved in first ever eye test after talk at school
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Taiwan presents new digital healthcare solutions in smart medical webinar Li giving an introductory speech in the webinar Apollo Medical Optics CEO David Ma with the S100 Image System A product demonstration by Acer Healthcare
PETALING JAYA: As one of the leading countries in artificial intelligence (AI) for healthcare, Taiwan is putting more efforts in producing advanced healthcare innovations based on high technology and AI.
Five Taiwan Excellence-awarded companies demonstrated their innovative solutions during the Taiwan Excellence Smart Medical Webinar: Digital Health Solutions on Wednesday.
In his opening remarks, International Medical Informatics Association president Dr Yu-Chuan Jack Li said the digital health development in Taiwan has electronic health records that are interlinking to all the hospitals, clinics and centres for disease control and prevention.
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NEW YORK, April 22, 2021 /PRNewswire/ Cancer research and development are a major part of the biotechnology industry, and there is always room for improvement and growth. Recently, biotech company
Perimeter Medical Imaging Al (TSXV: PINK) (OTC: PYNKF) revealed a revolutionary way for surgeons to be able to assess if a cancer has been fully removed, while still in the operating room.
Syndax Pharmaceuticals (NASDAQ: SNDX), Nektar Therapeutics (NASDAQ: NKTR), SELLAS Life Sciences Group (NASDAQ: SLS), and Celldex Therapeutics (NASDAQ: CLDX) are also leading companies with an exceptional background in cancer research and are working constantly to introduce their latest innovations in preventing and/or providing solutions for cancer immunotherapies.
Perimeter Medical Imaging AI to Present at 2021 Bloom Burton & Co Healthcare Investor Conference
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New to computer vision and medical imaging? Start with these 10 projects
A hands-on guide for computer vision and machine learning
(AI) and computer science that enables automated systems to see, i.e. to process images and video in a human-like manner to detect and identify objects or regions of importance, predict an outcome or even alter the image to a desired format [1]. Most popular use cases in the CV domain include automated perception for autonomous drive, augmented and virtual realities (AR, VR) for simulations, games, glasses, reality, and fashion or beauty-oriented e-commerce.
Medical image (MI) processing on the other hand involves much more detailed analysis of medical images that are typically grayscale such as MRI, CT, or X-ray images for automated pathology detection, a task that requires a trained specialistâs eye for detection. Most popular use cases in the MI domain include automated pathology labeling, localization, association with treatment or prognost
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