Introduction
In the realm of cancer detection, artificial intelligence (AI) has shown immense promise. However, the development of effective AI algorithms depends heavily on the availability of high-quality, annotated medical data. A groundbreaking method developed…
Diabetes is one of the most prevalent chronic conditions in the U.S., with more than 37 million Americans living with the disease. The condition is often associated with chronic wounds, as about a quarter…
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At HIMSS24 this past month, a new consortium of healthcare leaders announced the creation of the Trustworthy & Responsible AI Network, or TRAIN, which aims to operationalize responsible AI principles to improve the quality,…
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News
Kontakt.io raises $47.5 million in a Series C funding round led by Goldman Sachs. Launched in 2013, the multi-vertical company offers patient flow analytics and optimization software and hardware that leverages AI and RTLS…
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Yesterday, in part one of our in-depth interview with Dr. Brian Hasselfeld of Johns Hopkins Medicine, the senior medical director of digital health and innovation and associate director of Johns Hopkins inHealth, discussed the…
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Dr. Brian Hasselfeld has a little Wall Street in his background and likes to talk about the potential benefits of artificial intelligence to healthcare in economic terms – the law of supply and demand.Everyone…
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With current pandemic-era flexibilities for telemedicine set to expire at the end of 2024, several telehealth groups and major health systems are calling on the U.S. Drug Enforcement Administration to work faster in crafting…
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Johns Hopkins Chief Information Security Officer Darren Lacey describes the security crisis facing healthcare by envisioning a scenario in another industry. “Imagine you are incrementally improving your controls in, say, financial management,” he says. “And…
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By Shania Kennedy
March 26, 2024 – Johns Hopkins researchers have developed a deep learning-based model to detect COVID-19 infection using lung ultrasound images, according to a study published recently in Communications Medicine.
The automated detection tool…
Cutting-edge technology revolutionizes COVID-19 diagnosis through lung ultrasound images, offering swift and accurate detection. Researchers at Johns Hopkins University developed an automated tool akin to facial recognition, which swiftly identifies COVID-19 indicators in lung…
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