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For ABA-designs, repeated measurements are conducted in the absence (A) and presence (B) of an intervention [67,68,70]. This approach allows participants to serve as their own controls [68,69]. Performing a SCED, such as an ABA design, is particularly effective for identifying causal relationships between an intervention (independent variable) and changes in the outcome measures (dependent variables) [69].
JMIR Res Protoc 2025;14:e64756
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Seventy B-mode grayscale ultrasound images acquired from validated rat liver disease models [30-32] were used for analysis. The images were distributed across 3 categories of liver health: fibrosis (n=31), steatosis (fatty liver) (n=18), and normal (n=21). To maintain consistency and reliability in the analysis, the imaging parameters were standardized, including transducer frequency, gain settings, imaging depth, focus, and dynamic range.
JMIR AI 2025;4:e68144
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To evaluate and compare the performance of various published CPSs:
(A) against clinician gestalt in ANZ for the likelihood of appendicitis at the time of ED assessment;
(B) in identifying, prospectively, the likelihood of complex appendicitis (defined as the presence of perforation, extraluminal fecalith, diffuse intraperitoneal pus, or a well-formed abscess) [62];
2.
JMIR Res Protoc 2025;14:e67941
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The State of Remote Patient Monitoring for Chronic Disease Management in the United States
J Med Internet Res 2025;27:e70422
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