A professor and researcher who studies AI and health care analytics explains why AI’s growth will be gradual, and how technical limitations and ethical concerns stand in the way of AI’s widespread ...

Deep learning offers considerable promise for medical diagnostics. We aimed to evaluate the diagnostic accuracy of deep learning algorithms versus health-care professionals in classifying diseases ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

In this article, we present the Genetic Algorithm for Application Placement (GAAP), an evolutionary computing-based meta-heuristic designed to help IoT application developers find deployments that ...

In this study, we propose a novel method for medical data classification, it is the integration of new heuristic algorithm that get inspired the black hole phenomenon called as Black Hole Algorithm ...

By leveraging data-driven approaches, AI can help bridge the gap between the holistic and personalized concepts of traditional Chinese medicine (TCM) and the demands for standardization and scientific ...