FOX News' Eben Brown reports on AI going mainstream in healthcare, which doctors say has the potential to create stronger relationships with patients. The use of generative AI may not be helpful in reducing burnout in health care, new research suggests. Previous research indicated that increased time spent using electronic health record (EHR) systems and handling administrative responsibilities has been a burden on doctors. So some people had heralded artificial intelligence as a potential solution -- yet recent investigations by U.S. health systems found that large language models (LLMs) did not simplify clinicians' day-to-day responsibilities. WHAT IS ARTIFICIAL INTELLIGENCE (AI)?

There are plenty of Artificial Intelligence efforts underway -- the global AI adoption rate grew steadily and now is 35%, a four-point increase from the year before, a recent IBM study shows. It's clear, as shown in the study, that there are tangible benefits -- half of organizations are seeing benefits from using AI to automate IT, business or network processes, including cost savings and efficiencies (54%), improvements in IT or network performance (53%), and better experiences for customers (48%). But bringing in AI means changes for the organization, and the systems and processes that have defined the way business is done. Selling AI as a new way requires some degree of finesse and business sense. Think and understand the problem to be addressed before bringing in the technology.

Convince the business, in terms they can understand. Imagine you have been selected as a proponent to bring artificial intelligence into your business. Are you going to talk to executives about algorithms, training data, test data, supervised learning, unsupervised learning, and deep learning neural networks? Watch their eyes glaze over. There are plenty of AI efforts underway -- the global AI adoption rate grew steadily and now is 35%, a four-point increase from the year before, a recent IBM study shows.

Convince the business, in terms they can understand. There are plenty of artificial intelligence efforts underway -- the global AI adoption rate grew steadily and now is 35%, a four-point increase from the year before, a recent IBM study shows. It's clear, as shown in the study, that there are tangible benefits -- half of organizations are seeing benefits from using AI to automate IT, business or network processes, including cost savings and efficiencies (54%), improvements in IT or network performance (53%), and better experiences for customers (48%). But bringing in AI means changes for the organization, and the systems and processes that have defined the way business is done. Selling AI as a new way requires some degree of finesse and business sense.

On July 27, 2018, news broke that collaborative efforts in cancer treatment between the Sloan Kettering Research Institute and IBM were producing instances of treatment prescriptions that were unsuited for the patients the treatments were prescribed for. In one case, a 65-year-old man was prescribed a drug that could lead to "severe or fatal hemorrhage" even though he was already suffering from severe bleeding When investigators dug deeper, they found that IBM engineers and Sloan Kettering medical doctors had fed hypothetical patient data to IBM's Watson, which was processing the treatment analytics. Initial thinking was that the use of hypotheticals (instead of real patient data) potentially skewed the AI and resulted in multiple examples of unsafe or incorrect treatment recommendations. At first blush, it is easy to slam the AI--but should we? The most important lesson to be learned from Watson or any other AI technology that is being trialed in business right now is that AI isn't perfect.