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Multi-quantifying maxillofacial traits via a demographic parity-based AI modelA study published in BME Frontiers has unveiled a novel artificial intelligence (AI) model capable of multi-quantifying maxillofacial traits with remarkable precision and demographic parity. The research was conducted by a team of experts including Zhuofan Chen, Xinchun Zhang, Zetao Chen, and their colleagues at the Hospital of Stomatology, Guanghua... Read more
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Hospitals must use AI responsibly to avoid increased carbon emissions, researchers sayA study investigating the impact of artificial intelligence on health care has shown that using large language models to process thousands of patient records daily across multiple hospitals could lead to substantial resource consumption.... Read more
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Using AI to advance child development and learningCan artificial intelligence-powered tools help enrich child development and learning?... Read more
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Oakland clinic gets medical device maker to disclose risk of false blood-oxygen readingThe pulse oximeter, a device that measures the degree to which red blood cells are saturated with oxygen, is one of health care's most fundamental tools.... Read more
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AI tool predicts cancer gene activity from biopsy imagesTo determine the type and severity of a cancer, pathologists typically analyze thin slices of a tumor biopsy under a microscope. But to figure out what genomic changes are driving the tumor's growth—information that can guide how it is treated—scientists must perform genetic sequencing of the RNA isolated from the... Read more
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Q&A: Generating data from neurons to teach AI the rules of the brainThe 2024 Nobel Prizes in physics and chemistry were seen as a sweep for artificial intelligence (AI) tools which, at their conception, were inspired by neuroscience. By imitating the behavior of human brain cells, machine-learning algorithms are accelerating our understanding of basic biology, with technologies such as Google DeepMind's AlphaFold... Read more
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Everyday AI: Artificial intelligence in pregnancy and the early yearsWhen Briony and her husband embarked on their journey to start a family, they didn't think artificial intelligence (AI) would play a role.... Read more
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Mathematical modeling leads to a better understanding of prostate cancerA team led by Dr. Yuri Tolkach at the University of Cologne's Faculty of Medicine and University Hospital Cologne has investigated prostate tumors and developed an advanced, realistic, three-dimensional model of prostate cancer with the help of mathematical modeling.... Read more
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AI method can spot potential disease faster, better than humansA deep learning artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more accurately, than people.... Read more
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Remote telemedicine tool found highly accurate in diagnosing melanomaCollecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a new study shows.... Read more
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TikTok and WHO are getting together to help combat widespread health misinformation on social mediaThe social media platform TikTok has become a cultural phenomenon, influencing the behavior and taste of its users in almost every area of life. From dance trends to skincare and make-up products, health hacks to fad diets, TikTok recommendations can go viral within minutes—and so can its health advice.... Read more
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In 10 seconds, an AI model can detect cancerous brain tumor often missed during surgeryResearchers have developed an AI-powered model that—in 10 seconds—can determine during surgery if any part of a cancerous brain tumor that could be removed remains, a study published in Nature suggests.... Read more
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Researchers use electronic diagnostic model to predict acute interstitial nephritis in patientsResearchers from Johns Hopkins Medicine and Yale University have collaborated on the development and application of a diagnostic model to detect acute interstitial nephritis (AIN) in patients, which could have a lasting impact on getting patients diagnosed earlier.... Read more
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Machine learning assists in predicting risk of strokeSome patients with advanced heart failure can benefit from the support of a continuous-flow left ventricular assist device (CF-LVAD) to sustain heart function. However, despite improvements in managing complications associated with the use of CF-LVADs, stroke continues to be a major adverse event after the implantation of the device.... Read more
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AI can detect serious neurologic changes in babies in the NICU using video data aloneA team of clinicians, scientists, and engineers at Mount Sinai trained a deep learning pose-recognition algorithm on video feeds of infants in the neonatal intensive care unit (NICU) to accurately track their movements and identify key neurologic metrics.... Read more