Category DIGITAL HEALTH

PIER MARIA FORNASARI
2024-10-25

Researchers at Imperial College London and Imperial College Healthcare NHS Trust publish an AI model able to predict health risks, including early death, from ECGs:

A new AI model can predict patients’ risk of developing and worsening disease, and even their risk of early death, using an electrocardiogram (ECG). Researchers at Imperial College London and Imperial College Healthcare NHS Trust believe their work, published today in Lancet Digital Health, could be used in the NHS within five years. It would

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No Comments InARTIFICIAL INTELLIGENCE
PIER MARIA FORNASARI
2024-07-02

A prosthesis driven by the nervous system helps people with amputation walk naturally

A new surgical procedure gives people more neural feedback from their residual limb. With it, seven patients walked more naturally and navigated obstacles. State-of-the-art prosthetic limbs can help people with amputations achieve a natural walking gait, but they don’t give the user full neural control over the limb. Instead, they rely on robotic sensors and

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No Comments InPROSTHETIC LIMB
PIER MARIA FORNASARI
2024-04-24

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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No Comments InARTIFICIAL INTELLIGENCE
PIER MARIA FORNASARI
2024-04-17

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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No Comments InARTIFICIAL INTELLIGENCE
PIER MARIA FORNASARI
2024-04-17

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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No Comments InARTIFICIAL INTELLIGENCE
PIER MARIA FORNASARI
2023-11-23

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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No Comments InARTIFICIAL INTELLIGENCE
PIER MARIA FORNASARI
2023-11-14

Bioactive, 3D-Printed Composite Material Supports Broken Bone Healing

A broken bone failing to heal represents an enormous burden for patients, which also often leads to further additional surgeries being required. Fraunhofer researchers have worked alongside partners to develop a composite material to be used in the treatment of such non-union cases. The resulting implant (termed scaffold) is designed to significantly improve treatment success

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No Comments InBIOPRINTING