Comprehensive Summary
This study, conducted by Schopp et al., investigates the attitudes of clinicians in regard to integrating artificial intelligence (AI) into their practices and the factors that they consider to be important when it comes to AI usage in neurotechnology. Twenty clinicians from Germany and Switzerland, consisting of 5 neurosurgeons, 2 psychiatrists, and 13 neurologists, were interviewed using a semi-structured method. The findings were organized into three main aspects: input, referring to training data, architecture, referring to algorithm, and output, referring to clinical decision. Interviewees expressed emphasis on input quality, accessibility, and representation. In regard to architecture, it was important to the interviewees that the user interface was intuitive and transparent. Interviewees also expressed that the output should safely support clinical decisions based on evidence. These results emphasize the importance and need of transparency and usability in AI-driven neurotechnologies that clinicians easily use and trust to assist with clinical judgement.
Outcomes and Implications
AI-driven neurotechnologies can assist clinicians in making more informed decisions and enhance the quality of clinical judgement. To encourage the usage of AI tools, developers should ensure their products are considerate of clinician needs for efficient support of clinical decisions. This study was conducted qualitatively, and varying expertise may have presented bias, so the findings are not generalizable. To further understand the expectations of clinicians in regard to AI-driven neurotechnologies and allow them to assist in clinical settings efficiently, further studies (quantitative) should be conducted and patients’ expectations for AI-driven neurotechnologies should be considered as well.