Purdue University engineers and physIQ have developed a viral detection algorithm for smartwatches.
Artificial Intelligence can be applied throughout the whole patient journey. We outline the current state and future applications of AI in preventing and diagnosing diseases to personalizing treatment or predicting pandemics.
Wearables are becoming a trend in respiratory care and many products are being developed to monitor patients remotely. But how much can these tools really help clinicians?
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.
E-mental health services could provide a response to these challenges and offer effective ways for prevention, diagnosis, treatment, and aftercare.
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.
Graphene represents incredible opportunities for advancement in many fields, including medical science.
Researchers examined people’s emotional response to cloned faces, which could soon become the norm in robotics.
To enhance human-robot collaboration, researchers at Loughborough University have trained an AI to detect human intention.
Scientists have developed a bio-compatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals.
A deep learning-based technique can be used to eliminate the need for special stains to be prepared by human histotechnologists.