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ChatGPT's Responses to People's Healthcare-Related Queries are Nearly Indistinguishable from those Provided by Humans

ChatGPT’s responses to people's healthcare-related queries are nearly indistinguishable from those provided by humans, a new study from NYU Tandon School of Engineering and Grossman School of Medicine reveals, suggesting the potential for chatbots to be effective allies to healthcare providers' communications with patients.

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New Geometric Deep Learning Model for Detecting Stroke Lesions

Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide. Fortunately, surgeons now have access to advanced imaging techniques that allow them to visualize the interior of a patient's brain during a stroke. This helps them pinpoint the location of the clot and analyze the extent of damage to the brain tissue.

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Siemens Healthineers Opens Innovation Center in Erlangen

Siemens Healthineers has opened its new Innovation Center in Erlangen, Germany, in the heart of the regional medical technology research area known as Medical Valley. The focus is on open innovation by collaborating with external partner companies, start-ups and academic and clinical institutions to improve healthcare worldwide.

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Telemedicine Visits Cut Health System Employee Care Costs by Nearly 25%

Visits with a 24/7, co-payment-free telemedicine program established by Penn Medicine for its employees were 23 percent less expensive than in-person visits for the same conditions, according to a new analysis published in the American Journal of Managed Care. Researchers at the Perelman School of Medicine at the University of Pennsylvania found that the per-visit costs for the telemedicine program,

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AI Brings Hope for Patients with Lyosomal Storage Disease

Artificial intelligence (AI) is becoming increasingly important in drug discovery. Advances in the use of Big Data, learning algorithms and powerful computers have now enabled researchers at the University of Zurich (UZH) to better understand a serious metabolic disease.

Cystinosis is a rare lyosomal storage disorder affecting around 1 in 100,000 to 200,000 newborns worldwide.

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Unleash the Full Potential of AI and Robotics with AUTOMA+ Health 2023

25 - 26 September 2023, Zurich, Switzerland.
Machines are getting smarter every day, and companies across the world are discovering new ways in which they can use AI to significantly enhance engagement and customer experience. That is why decision-makers from pharmaceutical companies, hospitals and healthcare providers gather to network and discuss the latest innovations, as well as the potential for both AI and robotics, at Healthcare Automation and Digitalization Congress 2023 in Zurich, Switzerland.

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Could AI-Powered Robot "Companions" Combat Human Loneliness?

Companion robots enhanced with artificial intelligence may one day help alleviate the loneliness epidemic, suggests a new report from researchers at Auckland, Duke, and Cornell Universities.

Their report, appearing in the July 12 issue of Science Robotics, maps some of the ethical considerations for governments, policy makers, technologists, and clinicians, and urges stakeholders to come together to rapidly develop guidelines for trust, agency, engagement, and real-world efficacy.

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NHS75: The Future is Here, it Just Needs to be Evenly Distributed

Opinion Article by Mark Venables, Chief Executive, Highland Marketing.
The NHS has arrived at its 75 th anniversary facing bigger challenges than it has faced since its inception. It's true that founder Nye Bevan faced a huge political and medical battle to establish a health service that was, and remains, universal, free at the point of delivery, and focused on need.

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AI Tool Decodes Brain Cancer's Genome During Surgery

Scientists have designed an AI tool that can rapidly decode a brain tumor's DNA to determine its molecular identity during surgery - critical information that under the current approach can take a few days and up to a few weeks.

Knowing a tumor's molecular type enables neurosurgeons to make decisions such as how much brain tissue to remove and whether to place tumor-killing drugs directly into the brain - while the patient is still on the operating table.

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Mobile Phone Data Used for Public Health Underrepresent Vulnerable Populations

Mobile phone data are increasingly used in public health management and disease outbreak response, as demonstrated during the COVID-19 pandemic when location data were used as a proxy for human movement and contacts and informed exposure notification apps. However, a new study led by researchers at Penn State revealed that phone data may not accurately reflect under-resourced or particularly vulnerable populations, who are often underrepresented in other data as well.

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