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Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study

Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study

Furthermore, AI-powered technology can form the basis for a deployable platform for further pilot trials in multiple hospitals and would create a model innovation system for smart manufacturing hospitals [2,22]. In this study, to meet the study objectives, a rapid literature review was conducted, followed by a survey. A rapid literature review of peer- and non-peer-reviewed publications was conducted to identify factors related to trust in and acceptance of AI applications used in medicine.

Daria Shevtsova, Anam Ahmed, Iris W A Boot, Carmen Sanges, Michael Hudecek, John J L Jacobs, Simon Hort, Hubertus J M Vrijhoef

JMIR Hum Factors 2024;11:e47031

New Heat and Moisture Exchangers for Laryngectomized Patients in Germany: Mixed Methods Study on the Expected Effectiveness

New Heat and Moisture Exchangers for Laryngectomized Patients in Germany: Mixed Methods Study on the Expected Effectiveness

The stronger the expert believed that a specific effect lies in a given interval, the greater the weight for that interval was. This provides an estimated effect distribution (a mean effect and spread). For every expert judgment on each effect variable, a mean was calculated. Subsequently, the sample mean was calculated, which indicated the estimation of all expert judgments combined. For the analysis, we multiplied the weight by the average of the intervals.

Anam Ahmed, Janne C Mewes, Iris W A Boot, Hubertus J M Vrijhoef

JMIR Form Res 2023;7:e36401