AI-powered medical image analysis has advanced quickly in recent years. Currently, one of the biggest studies to date on lymphoma, or cancer of the lymphatic system, has been conducted with the use of AI-assisted image analysis. Scientists at Chalmers University of Technology in Sweden have created a computer model that, in 90% of cases, can accurately identify lymph node cancer symptoms.
Researchers from ETH Zurich and KUNO Klinik St. Hedwig in Regensburg have created an algorithm that offers a reliable and automatic method for identifying a specific kind of heart defect in newborn babies.
A novel AI language model is capable of identifying clinical symptoms in medical summaries and correlating them with brain tissue data from donors of the Netherlands Brain Bank.
When treating patients with early-stage lung cancer, physicians must decide whether to proceed with potentially beneficial but toxic therapies like chemotherapy, radiation, or immunotherapy to remove cancer and reduce the likelihood that it will spread to the brain, or whether to wait and see if lung surgery alone is adequate.
A ground-breaking research study has used AI to understand the genetic underpinning of the heart’s left ventricle, using three-dimensional images of the organ.
A new study published in the journal JAMA Ophthalmology reveals that artificial intelligence (AI) technology can autonomously and reliably detect 100% of severe cases of a condition that causes blindness in prematurely born infants.
Clinicians and data scientists have collaborated to create innovative algorithms that have the potential to customize treatment plans.
TWIN, the latest robotic exoskeleton designed for lower limbs, has been created by Rehab Technologies IIT – INAIL, a collaborative venture between the Istituto Italiano di Tecnologia (IIT-Italian Institute of Technology) and the Prosthetic Center of INAIL (the prosthetic unit of the National Institute for Insurance against Accidents at Work).
A team of researchers from Imperial College London has harnessed the power of artificial intelligence (AI) to analyze medical scans for lung cancer assessment.
Scientists at the University of California San Francisco have discovered a method for using machine learning to analyze patient records in order to predict the onset of Alzheimer’s disease up to seven years in advance.
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