Future Prospects of Bio-Inspired Algorithms Based ML/DL Models in Healthcare

“Look deep into the nature and then you will understand everything better” - Albert Einstein This quote encapsulates the philosophy behind Bio-Inspired Algorithms. Exploring the numerous Bio Inspired Algorithms (BIAs) and implementing in real life is a brainstorming task. The performance of these algorithms is proven by nature in every aspect. This paper briefs about the existing BIAs based Machine Learning (ML), Deep Learning (DL) models in healthcare, its application areas, future prospects, challenges faced while implementing. Genetic Algorithms, Particle Swarm Optimization algorithms, Ant Colony Optimization and Artificial Bee algorithms are few commonly used algorithms in disease detection, personalised treatment and disease prediction.