AI can detect signals that are informative about mental health from questionnaires and brain scans.
Artificial intelligence has unimaginable potential to revolutionize medicine. We cover the latest technology breakthroughs of machine learning, deep learning algorithms, neural networks and pattern recognition that process mindboggling amounts of data, spot even the smallest detail in medical images and help medical professionals in designing treatment plans.
An AI-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy.
Data privacy and security concerns hamper large-scale studies. Researchers have developed a potential solution.
Secure AI Labs is expanding access to encrypted health care data to advance AI-driven innovation in the field.
AI-based solution FAITH is designed to monitor the mental health status of people who have undergone cancer treatment.
High-tech 3D facial scans to give us a better understanding of the genetic causes of autism.
More than 20 hospitals from across the world together with NVIDIA have used AI to predict Covid patients’ oxygen needs on a global scale.
Scientists have developed a bio-compatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals.
Researchers have used machine learning to help reconstruct three-dimensional micro-CT images of fibrous materials.
A deep learning-based technique can be used to eliminate the need for special stains to be prepared by human histotechnologists.
A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan.
A new approach to tackling the spread of malaria in sub-Saharan Africa, which combines affordable, easy-to-administer blood tests with machine learning and unbreakable encryption, has generated encouraging early results in Uganda.
Machine learning can accurately predict cardiovascular disease and guide treatment — but models that incorporate social determinants of health better capture risk and outcomes for diverse groups.