Genomic data has the potential to be clinically useful, but its use today is very limited – this potential has not been realized. Imagia is filling this gap by applying cutting edge AI/ML/DL technologies to enable multi-site analysis of ge
...How data is collected and managed will impact future discoveries in medical artificial intelligence. This post explains the two types of data sets encountered in the clinical setting and provides the strengths and weaknesses of both, from Imagia
...The process of labeling data is costly, tedious and is a very manual task tackled by humans. Current machine learning algorithms require a lot of labeled data in order to reach performance levels that are meaningful. Once, a model is trained o
...The application of Machine Learning (ML) in healthcare presents unique challenges. For instance, ML algorithms may require data to be migrated and shared from the same server or datacenter for developing training datasets. In a multi-center heal
...In a forest of data, AI can find abnormalities within seconds. Now apply this principle to finding atypical cancer cells among the healthy ones, and truly see where the promise of AI in lung cancer lies.
The entire month of November is Lung Canc
...Please complete the form in order to direct your request to the appropriate department, and we will reach out as soon as possible.