Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

A recent Scientific Reports study discusses the potential of retinal fundus imaging as a diagnostic screening modality for Parkinson's disease (PD). Study: Deep learning predicts prevalent and ...

Skin cancer is the most common type of cancer, with some 5.4 million cases in the United States each year, and it’s also the most treatable as long as it is detected in the early stages. However, not ...

Why it matters: The creative industry needs a constant flux of content to keep fans happy, and that content needs to be created somehow. When it comes to 3D models, AI algorithms could provide a big ...

Metabolite data and AI combine to redefine how we measure aging and predict health spans. Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...