IIOT Healthcare

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November 2024
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Effect of AI early warning system for intraoperative hypotension

Editor's Note The use of an artificial intelligence (AI) early warning system, compared with standard care, resulted in less intraoperative hypotension in this preliminary study. This single-center, preliminary study from the Netherlands, which included 68 patients (intervention group, 34 and control group, 34) having elective noncardiac surgery, found that application…

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By: Judy Mathias
February 18, 2020
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FDA authorizes marketing of first AI guided cardiac ultrasound

Editor's Note The Food & Drug Administration (FDA) on February 7 authorized marketing of software to assist in the acquisition of cardiac ultrasound images. The software, named “Caption Guidance,” uses artificial intelligence (AI) to help capture images of a patient’s heart from different angles, which are used to diagnose various…

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By: Judy Mathias
February 12, 2020
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Survey: MRI procedures up 8%, AI to improve image quality and workflow

Editor's Note A survey by IMV Medical Information Division finds that the number of MRI procedures performed in the US rose 8% from 39 million in 2018 to an all-time high of some 42 million in 2019, the January 15 AuntMinnie.com reports. A total of 17% of respondents gave high…

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By: Judy Mathias
January 16, 2020
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FDA clears Aidoc’s AI system for stroke detection

Editor's Note The Food & Drug Administration has granted 510(k) clearance to Aidoc (Tel Aviv) for its artificial intelligence (AI)-based system for large-vessel occlusion detection−ischaemic strokes that result from a blockage in one of the major arteries of the brain, the January 14 Verdict Medical Devices reports. The system’s AI…

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By: Judy Mathias
January 16, 2020
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Depuy, Zebra Medical partner on AI algorithm development

Editor's Note Johnson & Johnson’s Depuy Synthes and Israel-based Zebra Medical Vision have partnered to develop artificial intelligence (AI)-based algorithms for use in preoperative orthopedic surgical planning, the January 2 BioWorld reports. The algorithms would enable the creation of 3D models from x-ray images so that radiation risks and costs…

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By: Judy Mathias
January 6, 2020
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FDA workshop: Role of AI in radiological imaging

Editor's Note The Food & Drug Administration (FDA) on December 30 announced a public workshop on the “Evolving Role of Artificial Intelligence [AI] in Radiological Imaging, which will take place February 25-26, 2020, at the Natcher Conference Center, National Institutes of Health, Bethesda, Maryland. The workshop will include discussions on…

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By: Judy Mathias
January 2, 2020
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AI and surgical decision making

Editor's Note Integrating artificial intelligence (AI) with surgical decision making could transform care by augmenting the decision to perform surgery, informed consent process, identification and mitigation of modifiable risk factors, decisions on postoperative management, and shared decision for resource use, this review finds. Surgical decision making involves hypothetical-deductive reasoning, individual…

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By: Judy Mathias
December 11, 2019
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AI helps physicians identify cancer cells

Editor's Note Researchers at UT Southwestern Medical Center in Dallas have developed a new software tool that uses artificial intelligence (AI) to recognize cancer cells from digital pathology images, a December 9 UT Southwestern news release reports. The spatial distribution of different types of cells can reveal a cancer’s growth…

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By: Judy Mathias
December 11, 2019
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GE Healthcare introduces new AI, imaging systems

Editor's Note GE Healthcare introduced the newest advancements in its Edison artificial intelligence (AI) programs and new imaging systems at the Radiological Society of North America’s annual meeting, the December 2 AuntMinnie.com reports. GE designed the Edison Open AI Orchestrator to simplify AI implementation and support of multiple AI applications…

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By: Judy Mathias
December 4, 2019
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AI algorithms predict mortality after traumatic brain injury

Editor's Note Two artificial intelligence-based algorithms predicted the probability of a patient dying in the ICU within 30 days of traumatic brain injury with accuracies up to 81% and 84%, in this study from Finland. The first algorithm is based on objective monitor data, and the second one includes data…

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By: Judy Mathias
December 3, 2019
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