A new artificial intelligence model found previously undetected signals in routine heart tests that strongly predict which patients will suffer potentially deadly complications after surgery. The model significantly outperformed risk scores currently relied upon by […]
An AI algorithm based only on routine mammogram images plus age can predict a woman’s risk of major cardiovascular disease as well as standard risk assessment methods, finds research published online in the journal Heart.This […]
Stanford Medicine researchers have developed an artificial intelligence tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help researchers—even those unfamiliar with gene editing—generate […]
German doctors are increasingly prescribing smartphone health apps alongside pills and therapy to patients, marking a growing trend towards digital health care.This post was originally published on this site
A medical artificial intelligence (AI) technique now enables the precise and high-quality reconstruction of MRI images even from incomplete scan data. This innovative approach not only shortens reconstruction times compared to existing methods but also […]
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results of the study, which used data from large, multi-site […]
Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or subthreshold depression (StD) (a mild […]
When we recall something familiar or explore a new situation, the brain does not always use the same communication routes.This post was originally published on this site
Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.This post was originally […]
A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with non–small cell lung cancer are most at risk of needing […]
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