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Evaluating the Prototype of a Clinical Decision Support System in Primary Care: Qualitative Study
JMIR Form Res 2025;9:e69875
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Optimizing the Postcataract Patient Journey Using AI-Driven Teleconsultation: Prospective Case Study
All Dora-NL1 calls were recorded and subsequently reviewed by a clinician, who independently assessed symptoms and made clinical decisions based on the audio recordings while masked to Dora-NL1’s outputs and the regular care outcomes.
At the end of each call, Dora asked patients to rate their likelihood of recommending the automated system to others on a scale of 1 to 10.
JMIR Form Res 2025;9:e72574
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Reference 47: Type S error rates for classical and Bayesian single and multiple comparison procedures
JMIR Mhealth Uhealth 2025;13:e67711
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The x-axis—Time (s)—denotes time in seconds, the y-axis—Channel—displays the left and right audio channels, and the z-axis—Amplitude (k)—illustrates the amplitude scaled in kilounits. The color gradient, as indicated by the color bar labeled “Amplitude Variation,” visually depicts the amplitude fluctuations within the auditory cue.
The VR task includes 1 trial with a ball appearing to the left (15° to the left), within a 30° horizontal plane and a 50° vertical plane within the limits of the VR room.
JMIR XR Spatial Comput 2025;2:e72439
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Note that some individuals scored highly on the balance measures at baseline (such as participant R, who scored 8.8 s on the TUG, 52 on the BBS, and 26 on the FGA at baseline). Therefore, exceeding an MDC threshold may not have been expected for some participants. Nonetheless, findings show that at least 72% (13/18) of participants exceeded the MDC of BBS, at least 44% (8/18) exceeded the MDC of TUG, and at least 66% (12/18) exceeded the MDC of FGA at every posttreatment time point.
JMIR Form Res 2025;9:e67297
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