The rapid growth of new medications, treatment protocols, and evolving regulations is outpacing healthcare providers’ ability to stay updated. AI in personalized medicine helps bridge this gap, enabling timely decisions by analyzing vast data and delivering actionable insights in real-time.
Tagging or labeling of data is an essential step in training computer vision models. With more and more data being needed for training, it is imperative to label the data in a hassle-free and less time-consuming fashion…
H2O – An open-source artificial intelligence (AI) platform available through H2O.ai. It is trusted by many data scientists and has become the go-to platform for AI-based model development…
Digital Transformation is no longer a thing of the future or a buzzword, it is essential for every organization that plans to grow and stay relevant in near future. Business leaders agree with the fact…
Optical Character Recognition (OCR) is a course of perceiving text inside pictures and changing it into an electronic structure. These pictures could be of manually written text, printed text like…
Health Care 4.0 involves smart Healthcare delivery with the use of new-age imaging technology, intelligent sensors, medical robots, wearables, medical devices, and mobile applications combined with…
Get Latest updates and industry insights every month.
