首页|Study Results from Vardhaman College of Engineering in the Area of Artificial In telligence Published (Patient Satisfaction: The Role of Artificial Intelligence in Healthcare)
Study Results from Vardhaman College of Engineering in the Area of Artificial In telligence Published (Patient Satisfaction: The Role of Artificial Intelligence in Healthcare)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news originating from Telangana, Ind ia, by NewsRx correspondents, research stated, "Applications of artificial intel ligence (AI) can be seen in almost every aspect of the healthcare system, as it has potential to affect almost every facet of the healthcare, from detection of ailments and serious or complex chronic diseases to their control, prevention an d cure." The news editors obtained a quote from the research from Vardhaman College of En gineering: "With technological innovations, upgradation and adoption in the fiel d of healthcare, healthcare professionals are required to be well prepared to ac cept the continuously evolving technology and its application to provide best he althcare facilities, which gave rise to the various studies on the role of the m achine learning (ML), AI, deep learning (DL), etc., in the field of healthcare. Similarly, the rise in digitalised hospitals, medical facilities, records and da ta has resulted in the improvisation in the field of healthcare, which in turn h as increased the need of experts, professionals, experienced and digitally liter ate workforce teams in the field of entire healthcare system. Understanding the roles of these advanced technologies, impacts being created on the health, lifes tyle and the entire healthcare system, along with the perception of the patients towards it, will shape the way for the improvements and the applications of AI and its outcomes to be achieved, resulting in healthier world for the patients a nd the society. The objective of the study is to create a patient satisfaction m odel and validate it with respect to factors influencing patient satisfaction of several patients undergoing AI treatment factors. In the study, the United Stat es, Canada, Australia, UAE and China were chosen as a place of survey, as these are advanced countries and the use of AI is highest in these countries compared to other countries, and survey was done with the help of structured questionnair e. In our earlier study, exploratory factor analysis (EFA) was performed for ini tial knowledge development on the construct of patients undergoing AI treatment. "
Vardhaman College of EngineeringTelang anaIndiaArtificial IntelligenceEmerging TechnologiesMachine Learning
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