AI and Healthcare How can AI bring down the cost of Health care? Use of AI led to cost reductions including a 25 percent drop in hospital length of stay and 91 percent reduction in discharges to nursing facilities. Total joint replacement surgery is one of the most prevalent and expensive surgeries in the U.S., and a study published in the Annals of Translational Medicine indicates that costs and outcomes for such surgeries can be improved by using artificial intelligence platforms. Specifically, the research examined the efficacy of PreHab AI technology from mobile technology company PeerWell. Offering pre-operative education, PreHab was associated with a reduction in surgery costs of $1,215 -- with one big catch: It had to be delivered in person by a physical therapist. Many insurance plans only allow for a small number of paid physical therapy sessions per year, making surgeons reluctant to use them before surgery. IMPACT The platform was able to deliver effec
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AI and Agriculture How can AI help in agriculture? Agricultural AI yields better crops through data analytics. The use of agricultural AI optimizes the farming industry by decreasing workloads, analyzing harvesting data and improving accuracy through seasonal forecasting. Agriculture has constantly improved with the introduction of various technologies, from motorized equipment to biotechnology. Following business trends, the agricultural industry is looking to maximize efficiency by turning to AI technologies. AI technology has been implemented to help yield healthier crops, reduce workloads, organize data and improve a wide range of tasks in this $5 trillion industry . A modest estimate puts 75 million IoT agricultural devices in use by 2020 and 4.1 million daily data points per farm by 2050. The volume of data -- collected through technologies ranging from farm machinery to drone imagery -- is too abundant for humans to process. Farmers and agricultural technology wor
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AI in Psychology How will AI be implemented in the field of psychology? This article reviews developments in artificial intelligence (AI) technologies and their current and prospective applications in clinical psychological practice. Some of the principal AI assisted activities reviewed include clinical training, treatment, psychological assessment, and clinical decision making. A concept for an integrated AI-based clinician system is also introduced. Issues associated with AI in the context of clinical practice, the potential for job loss among mental health professionals, and other ramifications associated with the advancement of AI technology are discussed. The advancement of AI technologies and their application in psychological practice have important implications that can be expected to transform the mental health care field. Psychologists and other mental health care professionals have an essential part to play in the development, evaluation, and ethical use of AI techn