Leadership in AI-Driven Data Science: Fostering Innovation and Collaboration for Advancing Healthcare

Abstract

This study investigates the application of AI algorithms in the healthcare industry, namely CNNs, RNNs, SVMs, and RFs. It assesses algorithm performance and applications and talks about the role of leadership in AI-driven data science. SVMs do well in classification, RFs in decision-making, RNNs in sequential data, and CNNs in medical imaging. Leadership qualities such as technical expertise and moral discernment are essential. Deep learning developments as well as blockchain and IoMT integration are all part of the future scope.