While preventive care and telehealth have long been critical elements of the healthcare industry, these services have become even more important in the context of the COVID-19 pandemic. Researchers are...
Using deep learning and genomic data, researchers from Beaumont Health have discovered a simple blood test that may help predict Alzheimer’s disease in patients.
In a study published in PLOS...
Artificial intelligence tools were able to process brain images and classify Alzheimer’s disease with improved accuracy, which could lead to the development of better treatments, according to a...
A new approach could help researchers build high-quality artificial intelligence algorithms while protecting patient data privacy, accelerating model development and innovation, according to a study...
Artificial intelligence can analyze electrical signals from the heart to predict which patients are at high risk of atrial fibrillation (AF) and stroke, according to a study published in...
A deep learning tool was able to accurately predict survival expectancy in patients with lung cancer, potentially leading to more informed care decisions by providers, according to a study published in...
A deep learning tool may be able to analyze medical images and dramatically reduce pain disparities in underserved populations, a study published in Nature Medicine revealed.
In society today, pain is...
Deep learning technology can help researchers make sense of complex DNA methylation data to understand gene expression changes in tumors, study published in Genome Biology revealed.
DNA methylation...
Properly trained deep learning models could offer better insights from brain imaging data analysis than standard machine learning approaches, according to a study published in Nature...
A deep learning model may be able to detect breast cancer one to two years earlier than standard clinical methods, according to a study published in Nature Medicine.
The tool also demonstrated...
A microscope powered by deep learning technology can quickly image tissue sections, potentially during surgery, to help surgeons determine whether they’ve removed all cancer cells, according to a...
A deep learning algorithm accurately identified allergic reactions in hospital patient safety reports, which could help providers avoid medical errors and improve event surveillance, according to a...
A deep learning model can measure the volume of cerebral ventricles on pediatric brain scans, leading to improved treatment of a pathological condition called hydrocephalus, according to a study...
Mayo Clinic and Google Health have announced a partnership to develop artificial intelligence that can help accelerate the process of planning radiotherapy treatments, leading to more efficient cancer...
A deep learning tool can offer more information about SARS-CoV-2 proteins to accelerate COVID-19 drug discovery, according to a study published in Chemical Science.
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A deep learning algorithm was able to accurately analyze tumor data and recommend the best possible treatments for patients, potentially accelerating cancer precision medicine, according to a study...
Applying a deep learning model to standard CT scans could generate higher-quality images, enabling providers to extract better insights and improve diagnosis, according to a study published in...
Combining a deep learning model with medical imaging techniques could help determine the best treatment options for patients with non-small cell lung cancer, according to a study published in Nature...
A deep learning tool can predict surges in COVID-19 cases for each US county with 64 percent accuracy, which is twice the accuracy of an untrained model, according to a study published in IEEE...
A deep learning system was able to choose the most high-quality embryos for in-vitro fertilization (IVF) with 90 percent accuracy, according to a study published in eLife.
When compared with trained...
