Top 6 Applications of Machine Learning in Healthcare in 2021

With the worldwide population booming, the healthcare industry must adapt and develop the most innovative technologies to gather and analyze such massive clinical data and information about patients. It's about bringing in machine learning (ML) and artificial intelligence (AI) to make the real-world healthcare system high-powered and error-free. In 2017, Google developed an algorithm that can detect diseases, such as cancer, with 89% accuracy. Three years later, in 2020, smartphone-based mental healthcare apps are becoming the biggest buzzword, thanks to digital behavioral solutions, and machine learning in healthcare has just started. The purpose of ML in healthcare is to minimize human error without limiting the human factor.