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Health informatics news
Parkinson's & Movement disorders
Machine learning helps define new subtypes of Parkinson's disease
Researchers at Weill Cornell Medicine have used machine learning to define three subtypes of Parkinson's disease based on the pace at which the disease progresses. In addition to having the potential to become an important ...
11 hours ago
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Medical economics
Study shows AI tool successfully responds to patient questions in electronic health record
As part of a nationwide trend, many more of NYU Langone Health's patients during the pandemic started using electronic health record tools to ask their doctors questions, refill prescriptions, and review test results. Many ...
15 hours ago
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Electronic patient-reported outcome tool reduces cancer care disparities
A University of California, Irvine, research team has developed and implemented an intervention to enhance cancer care support services for racial and ethnic minority patients undergoing chemotherapy.
13 hours ago
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Should AI be used in psychological research?
Mohammad Atari and colleagues explore the promise and peril of using large language models (LLMs) in psychological research, beginning by urging researchers to also ask themselves whether and why they should use LLMs—not ...
15 hours ago
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Off-the-shelf wearable trackers provide clinically-useful information for patients with heart disease
A study published in Nature Medicine examined if a commercially-available fitness tracker and smartphone could continuously monitor the response to medications, and provide clinical information similar to in-person hospital ...
Jul 15, 2024
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Accurate and continuous remote monitoring of step length can be sensitive marker for neurological diseases and aging
Researchers have used machine learning technologies to develop an algorithm that converts data from a small, lightweight, waterproof wearable sensor taped to the lower back into an accurate estimate of step length. The model ...
Jul 15, 2024
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Beyond algorithms: The role of human empathy in AI-enhanced therapy
A new study by researchers from the Psychology Department at the Hebrew University published in JMIR Mental Health has made significant strides in understanding the role of artificial intelligence (AI) in mental health therapy. ...
Jul 15, 2024
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Artificial intelligence outperforms clinical tests at predicting progress of Alzheimer's disease
Cambridge scientists have developed an artificially-intelligent tool capable of predicting in four cases out of five whether people with early signs of dementia will remain stable or develop Alzheimer's disease.
Jul 12, 2024
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New tool combines evolution and AI to predict prostate cancer recurrence more than a decade ahead
Combining the principles of evolution with artificial intelligence (AI), scientists have proposed a new way to predict the chance of prostate cancer returning. In a recent study, they harnessed computational methods to capture ...
Jul 12, 2024
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COVID-19 phone apps can provide real-time information on the spread of infectious diseases
Researchers analyzing data from mobile phone apps used during the COVID-19 pandemic found that digital contact tracing provides rich insights into epidemic dynamics with unprecedented resolution and speed, revealing how transmission ...
Jul 12, 2024
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Unraveling disease patterns in older adults starting long-term care in Japan and their future health outcomes
As the population continues to age, improving the quality and efficiency of health care services for older adults has become increasingly important. However, the older adult population is diverse, often suffering from multiple ...
Jul 12, 2024
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Why an 'AI health coach' won't solve the world's chronic disease problems
Last week, two big names in the artificial intelligence (AI) and wellness industries announced a collaboration to develop a "customized, hyper-personalized AI health coach that will be available as a mobile app" to "reverse ...
Jul 12, 2024
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AI assistant shows great promise in cataract care pathway
A new study has found that an artificial intelligence (AI) conversational agent enhances patient care after cataract surgery. The AI-powered automated voice system, called Dora, is able to call patients to ask them questions, ...
Jul 11, 2024
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How AI might help in diagnosing mild concussions
Whether it's from a sports injury, whiplash, or a bump to the head, many patients with mild concussion don't even realize their minor injury can, if untreated, cause lifelong severe health issues. Even if a patient goes to ...
Jul 11, 2024
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Training AI's view on clinically relevant areas improves medical image analysis
Duke-NUS Quantitative Biology and Medicine Ph.D. candidate Yuan Han has developed a new method to improve the accuracy of AI when it is used to diagnose a collapsed lung, or pneumothorax, by limiting the area of a chest X-ray ...
Jul 11, 2024
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Researchers develop GPT-4-based simulator for biomedical research
The artificial intelligence (AI) model GPT-4, known from its application in ChatGPT, shows impressive capabilities in biomedical research and can be used in many ways for simulations. A simulator developed at MedUni Vienna ...
Jul 11, 2024
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Using regional systems based on ecology, not geopolitical boundaries, to determine the spread of West Nile virus
Scientists often use forecasting models to predict the spread of infectious diseases. The data informing these models are usually framed by geopolitical boundaries such as states or counties.
Jul 11, 2024
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Chatbots show potential to bridge gaps in mental health services
Psychologists reviewed 31 studies published between 2017 and 2023 which examined the use of chatbots as mental health interventions. The evidence shows that these artificial intelligence tools are generally well-received ...
Jul 11, 2024
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Researchers hone ChatGPT, creating AI tools for digital pathology
Scientists from Dana-Farber Cancer Institute and Weill Cornell Medicine have developed and tested new artificial intelligence tools tailored to digital pathology—a relatively new field that uses high-resolution digital ...
Jul 10, 2024
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AI model can predict continuous renal replacement therapy survival
A UCLA-led team has developed a machine-learning model that can predict with a high degree of accuracy the short-term survival of dialysis patients on continuous renal replacement therapy (CRRT). The study is published in ...
Jul 10, 2024
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