nnovations, artificial intelligence, the IoT, health cloud, big data analytics, geolocation sensors, running screens, as well as various areas such as transportation, assembly, and retail [43]. It is integrated as a basic component of smart healthcare applications [44]. 4.4 THE AI AND ML IMPACT ON SMART HEALTHCARE SYSTEMS DRIVEN BY 5G The smart healthcare industry is a recession-resistant industry. Humans are in con- stant need of healthcare, SO the healthcare industry can maintain its position in times of economic collapse and financial hardship. In fact, during the great depression in the United States, the healthcare industry expanded and added 852,000 jobs when the economy faced a severe slowdown. By 2021, the value of US healthcare AI is expected to reach $6.6 billion [45]. From clinical trials to new drug research and development, innovative medical devices, nanoparticles, AI, and machine learning technologies, all have the ability to touch and completely change all aspects. In fact, according to Accenture's research, applying AI to healthcare could save US $150 Network Technology Trends for Smart Healthcare billion worldwide by 2026 [46]. The possibilities are endless. If AI is utilized cor- rectly, then results will be unimaginable. This problem, which has plagued the world for many years, is a triangle aimed at solving the basic health problem of high quality, low cost, and accessible treatment. Healthcare costs are usually high, SO providing all three functions at the same time is a major healthcare challenge. The problem is that if you try to improve one element, you lose another. However, AI and 5G will be able to solve this problem in the near future by improving the current healthcare cost structure without breaking the triangle [47]. The key to this is 5G enabled AI machines, which patients can use for self-treatment in most cases, significantly reducing treatment costs by reducing contact with people and improving quality of life [48]. 5G driven AI and machine learning impact on the smart healthca