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Study shows AI and physicians have equal difficulty identifying crackles when analyzing breath soundsAlthough crackles have long been regarded as a hallmark finding in physical examinations, a new study has revealed their unreliability not only among human physicians but also in artificial intelligence systems.... Read more
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Assessing synchronized activity in the human brain through frequency-dependent covariance analysisThis year is the centennial anniversary of German psychiatrist Hans Berger's invention of electroencephalography (EEG), a way to record electrical activity in the brain, now called brainwaves or neural oscillations. Amazingly, Berger was motivated after an incident in his military years when he believed he had spontaneously transmitted something from... Read more
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Algorithms based on deep learning can improve medical image analysisArtificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis, where researchers of Karlsruhe Institute of Technology (KIT) were... Read more
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Researchers publish new guidance for ensuring AI safety in clinical careAs artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an article co-written by Dean Sittig, Ph.D., professor at McWilliams School of Biomedical Informatics at UTHealth Houston, and Hardeep Singh, MD,... Read more
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AI algorithm can identify metabolic dysfunction-associated steatotic liver diseaseAn algorithm can identify individuals with metabolic dysfunction-associated steatotic liver disease (MASLD) with about 88% accuracy using electronic medical record (EMR) data, according to a study presented at The Liver Meeting, the annual meeting of the American Association for the Study of Liver Diseases, held from Nov. 15 to 19... Read more
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Aged care nursing in the digital futureDigital technology can better assist nurses to manage end of life care in residential aged care facilities but ensuring its impact requires better tools, training, and ongoing support, a new study has found.... Read more
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The role of social media in the stigmatization of persons living with obesityThrough an analysis of posts on Twitter (now rebranded X) relating to obesity published between April 2019 and December 2022, a study conducted by the Geneva University Hospitals (HUG) and the University of Geneva (UNIGE) has revealed that most of these tweets convey negative sentiments about overweight people. The positions... Read more
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AI can predict neuroscience study results better than human experts, study findsLarge language models, a type of AI that analyzes text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a study led by UCL (University College London) researchers.... Read more
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Extensive epigenetic database of malignant cells can aid blood cancer diagnosisResearch in biomedical laboratories has been changing significantly in recent years, to the point that test tubes have given way to computers on many occasions. In this context, many discoveries now begin with detailed studies of molecular and cellular databases, followed by the validation and expansion of these findings through... Read more
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Machine learning reveals behaviors linked with early Alzheimer's, points to new treatmentsSubtle signs of Alzheimer's disease can emerge decades before a diagnosis—often in the form of irregular behaviors that reflect very early stages of brain dysfunction. But until now, identifying and measuring these slight behavioral changes in a scientific way hasn't been feasible, not even when studying Alzheimer's in mice.... Read more
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AI and behavioral data help pinpoint when children begin productive languageHearing a baby's first words is a joyful moment for many parents. But another crucial language milestone is harder to pinpoint for both parents and scholars of human development. When does a child start putting together words on their own, rather than parroting what they've heard?... Read more
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Comprehensive AI model outperforms traditional methods in biomedical image segmentationResearchers at Children's Hospital of Philadelphia (CHOP) announced the creation of a new AI technology called CelloType, a comprehensive model designed to more accurately identify and classify cells in high-content tissue images. The findings were published Nov. 22 in the journal Nature Methods.... Read more
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A robust tool for complex time-to-event data analysis in the context of myeloproliferative neoplasmsA new thesis from Karolinska Institutet shows the effectiveness of flexible parametric survival models in modeling multiple time-scales, providing a robust tool for complex time-to-event data analysis. The models were tested in the context of myeloproliferative neoplasms, a group of chronic hematologic malignancies in which the bone marrow makes too... Read more
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When disaster strikes, new toolkit puts power in hands of the most vulnerableRevealing research has found many people living with a disability feel unsupported and unprepared to face a crisis—but vital new tools have been created to help.... Read more
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Researchers conduct systematic review on whether AI could help predict brain aneurysmsResearchers from King's College London, in collaboration with academics from Imperial College London, are exploring whether artificial intelligence (AI) can help doctors predict which brain aneurysms are likely to rupture—a life-threatening event that requires urgent treatment.... Read more