Fox News medical contributor Dr. Marc Siegel weighs in on a survey that found a majority of patients prefer interacting with chatbots over doctors on'Fox News Live.' Dr. Marc Siegel discussed how artificial intelligence has already changed the health care industry, and what changes are anticipated Monday in the first of the FOX News Rundown podcast's "Rise of AI" series. MARC SIEGEL: We're discovering in a very positive way that A,I. can be useful to aid in diagnosis. But if it can be integrated as a tool that radiologists use or that lung surgeons use, you're ahead of the game. The other thing that I think is equally astounding is that they're using A.I. to evaluate studies they did for another reason. What do I mean by that?

I lead digital accelerations for companies across all industries. Imagine a technology that allows you to emulate--and sometimes improve--the processes and tasks performed by human beings and do it constantly without the need for rest. This is one of the main reasons why artificial intelligence (AI) has exploded in popularity. Often considered the father of AI, John McCarthy provided a definition, stating, "It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable."

In the Covid-19 pandemic, the situation changed dramatically. During the crisis, we saw rapid digital transformation and the adoption of disruptive technologies across all industries. Healthcare organizations of all sizes, types, and specialists are increasingly interested in how artificial intelligence can support better patient care while reducing costs and improving efficiency.Deep learning is a good place to start. This branch of artificial intelligence has made rapid changes in health care, providing the ability to analyze data faster than ever before. Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: example,Deep learning is a key technology behind driver less vehicles, enabling them to detect a stop sign, or to distinguish a pedestrian from a lamppost.

It has become evident that people often ignore signs of diseases. They move on with the thought that it's a one-time thing. You also must have known someone who likes delaying their health checkups. Whether in any delusion or not, this carelessness has been in trend for ages. But the gap between healthcare and technology is reducing at a rapid speed. With these technical advancements, people can find medical help with ease.

Despite the fact that it's as yet quite a while away from widespread deployment, 5G is a critical segment in the development of cloud-computing ecosystems toward more distributed environments. Between now and 2025, the networking industry will contribute about $1 trillion worldwide on 5G, supporting quick worldwide adoption of mobile, edge, and embedded devices in essentially every circle of our lives. It will be a demonstrating ground for cutting-edge artificial intelligence (AI), offering an environment within which data-driven algorithms will control each cloud-driven process, device, and experience. Similarly as huge, AI will be a vital segment in guaranteeing that 5G networks are enhanced from start to finish, 24 7. Many believe that 5G internet and artificial intelligence will change the world.

AI appears set to be the thing that separates the next generation of business success stories and market dropouts. It has revolutionized the transportation industry by bringing the science fiction dream of autonomous cars into reality, as driverless taxis have already been tested and deployed in the U.S. Further indicators of its importance come from finance companies like Goldman Sachs, JPMorgan and Morgan Stanley -- all of which have aggressively expanded their data and tech teams over the past year -- looking to deploy AI projects that will give them the competitive edge against their rivals. The application of this technology ranges from the mundane to the absurd, seemingly with no sector able to escape its influence -- and the pharma industry is no different. From personal experience, having spent nearly three decades working in the technology industry, and from many conversations with my better half, a longtime pharmaceutical research professional in the therapeutics and drug-discovery sector, there's no question the opportunity for AI in pharma is immense. Some of the industry's giants have already started to take the plunge and implement AI strategies for an array of different purposes, setting the stage for industry transformation.

Artificial Intelligence, Machine Learning, and Deep Learning are revolutionizing the health industry. Here is what you need to know. Machine Learning and Deep Learning are a growing and diverse fields of Artificial Intelligence (AI) which studies algorithms that are capable of automatically learning from data and making predictions based on data. Machine Learning and Deep Learning are two of the most exciting technological areas of AI today. Each week there are new advancements, new technologies, new applications, and new opportunities.

While you're reading this opening sentence, AI is quietly disrupting the practice of medicine as we know it. In fact, AI is about to do what we hoped to see technology do in the last decade for the health industry: Empower organizations and clinicians to improve the health, outcomes, and experience of care for more people in less time and at lower cost. It's happening now in fits and starts, but, eventually, as AI becomes invisibly woven into the fabric of our work and lives, the practice of medicine will become astonishingly more efficient, effective, and, ironically--more human. And that's good news for the U.S. health industry that's known for its overachievement in inefficiency and consumer unfriendliness. It's also good news for clinicians that are legitimately skeptical of highfalutin promises of new technologies.

HealthTech presents a huge opportunity, but how can businesses leverage these advantages, and how can Data Science help? The healthcare industry is huge and in turn, the size of the Health Tech industry is significantly larger than in other fields. In the USA alone, the healthcare market is more than 17% of GDP. A recent article published by TechCrunch highlights the vulnerabilities in the industry based on its consistent and rapid expansion: "the healthcare market represents $3 trillion, almost 20 percent, of the U.S. economy. This market also is plagued by a level of gross inefficiency and under-performance largely unseen in any other industries in our post-internet world".

Indian philanthropist, cardiac surgeon and founder of Narayana Hrudayalaya, Devi Prasad Shetty pioneered the running of hospitals like a mix of Wal-Mart and a low-cost airline that resulted in the chain of'no-frills' Narayana Hrudayalaya clinics in southern India. Rapid advances in technology are promising to transform the service sector in much the same way as the industrial revolution in the 18th century reshaped manufacturing. As technologies become smarter, smaller, cheaper and more sophisticated there are few services that will not be affected. Developments in areas such as mobile technology, wearables, robotics, virtual reality, speech recognition and artificial intelligence will bring opportunities for a wide range of service innovations that have the potential to dramatically improve the customer experience, service quality and productivity all at the same time. Self-driving cars, drone-delivery and largely robot-staffed hotels and restaurants are only the beginning of this revolution, with new technologies creating opportunities for firms to become both cost-leaders and service-leaders in their respective industries.