首页|Reports from Sudha Rustagi College of Dental Sciences and Research Advance Knowl edge in Artificial Intelligence (Exploring the Landscape of Artificial Intellige nce Acceptance among Health-care Professionals: A Questionnaire Survey)
Reports from Sudha Rustagi College of Dental Sciences and Research Advance Knowl edge in Artificial Intelligence (Exploring the Landscape of Artificial Intellige nce Acceptance among Health-care Professionals: A Questionnaire Survey)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting out of Haryana , India, by NewsRx editors, research stated, "Artificial intelligence (AI)could be understood as the technology that mimics the human knowledge based solely on input data. Inrecent years, AI has become the talk of town and is being applie d to health care more and more."The news journalists obtained a quote from the research from Sudha Rustagi Colle ge of DentalSciences and Research: "The emergence of AI in health care has been groundbreaking, reshaping the wayof diagnosis, treatment, and monitoring of pa tients. There are many instances where AI can performwell in the field of healt h care. Hence, the objective of this study was to assess the knowledge, perspective, familiarity/attitude, practice, and barriers in the acceptance of AI of hea lth-care professionals. A 42-question survey was distributed in the form of Goog le survey tool containing seven sections: demographics,knowledge, practice, fam iliarity, perspective, acceptance, and barriers to AI use in health care. It wasdistributed through professional networks, organizations, and relevant online c ommunities. A total of 327health-care professionals (209 females, 115 males, an d 3 others) participated in the survey. Clinicians were217 (66.4%) , whereas 57 (17.4%) and 53 (16.2%) were undergraduate s and postgraduates, respectively,belonging to medicine (17.4%), d ental (76.8%), and allied sciences (5.8%). According t o 249 (76.1%)participants, they did not use AI-based tools in thei r practice. More than half of the study participantsagreed that AI can be effec tively and efficiently used in health-care delivery. Majority of the participant sagreed that AI-based tool's ability to reveal early disease risks (27.2% ) and help in surgical intervention(13.1%) were main advantages of AI. Among all the disadvantages, high investment costs (50.8%) andregulatory concerns (38.8%) were the major barriers in adoption of AI in health care."
Sudha Rustagi College of Dental Sciences and ResearchHaryanaIndiaAsiaArtificial IntelligenceEmerging Technolog iesMachine LearningRisk and Prevention
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