AI in health care could save lives and money − but change won’t happen overnight

A 2023 study found that if the health care industry significantly increased its use of AI, up to US$360 billion annually could be saved.
IEEE

Optimizing Dynamic Flexible Job Shop Scheduling Using an Evolutionary Multitask Optimization Framework and Genetic Programming

Abstract: Driven by the evolution of smart and sustainable manufacturing paradigms under Industry 5.0, which emphasize adaptability, connectivity, and data-driven decision-making, the dynamic flexible ...
IEEE

Optimizing Hospital Operating Room Scheduling: A Comparative Analysis of Metaheuristic Algorithms for Job Shop Scheduling

Abstract: This research presents a comprehensive and rigorous performance evaluation of four leading metaheuristic algorithms: Genetic Algorithm (GA), Tabu Search (TS), Simulated Annealing (SA), and ...