Category ARTIFICIAL INTELLIGENCE

Predicting arrhythmia 30 minutes before it happens using Deep-learning Model

Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes a significant burden to healthcare systems, making its early detection and treatment a major goal. Researchers from the Luxembourg Centre for Systems Biomedicine (LCSB) of

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AI makes retinal imaging 100 times faster, compared to manual method

NIH scientists use artificial intelligence called ‘P-GAN’ to improve next-generation imaging of cells in the back of the eye Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is 100 times faster and improves image

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New TRIPOD+AI guidelines reflect growing use of AI in healthcare research

The widespread use of artificial intelligence (AI) in medical decision-making tools has led to an update of the TRIPOD guidelines for reporting clinical prediction models. The new TRIPOD+AI guidelines are launched in the BMJ today. TheTRIPOD guidelines (which stands for Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis Or Diagnosis) were developed in 2015

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Personalized cancer medicine: humans make better treatment decisions than AI

Charité study highlights limits of large language models in precision medicine Treating cancer is becoming increasingly complex, but also offers more and more possibilities. After all, the better a tumor’s biology and genetic features are understood, the more treatment approaches there are. To be able to offer patients personalized therapies tailored to their disease, laborious

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ChatGPT breakthrough in Healthcare

Over the past decade, I’ve kept a close eye on the emergence of artificial intelligence in healthcare. Throughout, one truth remained constant: Despite all the hype, AI-focused startups and established tech companies alike have failed to move the needle on the nation’s overall health and medical costs. Finally, after a decade of underperformance in AI-driven medicine, success is approaching faster

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Foreseeing the future of European medicine

Experts say careful application of advanced tech could usher in a golden age of healthcare New technologies could enable medicine to progress in leaps and bounds, but only with the right regulatory and ethical frameworks. That was one of the messages from panelists discussing the future of medicine at the Science|Business conference Horizon Europe: The first assessment as

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Artificial intelligence yields new ways to combat the coronavirus

Countering COVID-19 mutations and designing updated vaccines could occur at lightning speeds thanks to a new, USC-developed AI framework. USC researchers have developed a new method to counter emergent mutations of the coronavirus and hasten vaccine development to stop the pathogen responsible for killing thousands of people and ruining the economy. Using artificial intelligence (AI),

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New algorithm detects even the smallest cancer metastases across the entire mouse body

Teams at Helmholtz Zentrum München, LMU Munich and the Technical University of Munich (TUM) have developed a new algorithm that enables automated detection of metastases at the level of single disseminated cancer cells in whole mice. Source: HelmholtzZentrum München – German Research Center for Environmental Health Cancer is one of the leading causes of death

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Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions

Source JAMA Network Open IMPORTANCE A high proportion of suspicious pigmented skin lesions referred for investigation are benign. Techniques to improve the accuracy of melanoma diagnoses throughout the patient pathway are needed to reduce the pressure on secondary care and pathology services. OBJECTIVE To determine the accuracy of an artificial intelligence algorithm in identifying melanoma

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