Doctor Resistance of Artificial Intelligence in Healthcare

Doctor Resistance of Artificial Intelligence in Healthcare

Asma Chaibi, Imed Zaiem
Copyright: © 2022 |Pages: 13
DOI: 10.4018/IJHISI.315618
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Abstract

Artificial intelligence (AI) has revolutionized healthcare by enhancing the quality of patient care. Despite its advantages, doctors are still reluctant to use AI in healthcare. Thus, the authors' main objective is to obtain an in-depth understanding of the barriers to doctors' adoption of AI in healthcare. The authors conducted semi-structured interviews with 11 doctors. Thematic analysis as chosen to identify patterns using QSR NVivo (version 12). The results showed that the barriers to AI adoption are lack of financial resources, need for special training, performance risk, perceived cost, technology dependency, need for human interaction, and fear of AI replacing human work.
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The founding father of Artificial Intelligence (AI), Alan Turing (1950), defined AI as ‘the science and engineering of making intelligent machines, especially intelligent computer programs. Marvin Minsky (2020) simply define AI as a technology that can do a task which is perceived as a smart one by human. In other Words, AI refers to the science and engineering of producing intelligent machines, through a set of rules (algorithm), which the machine follows to imitate human cognitive functions, such as learning and problem solving. AI systems have the ability to anticipate problems or deal with issues as they come up in adaptive and intelligent manner. AI’s strength is in its potential to learn, analyze and recognize patterns and relationships from huge multidimensional and multimodal datasets (Bajwa and al., 2021).

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