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Of the 22 participants, 64% self-identified as female; 27% as Hispanic, 32% as non-Hispanic Black, and 41% as non-Hispanic White. On average, participants were 42 years (range 23-69 years; median 40 years; SD 14.10 years); had a BMI of 39.42 kg/m2 (range 30.03-57.56 kg/m2; median 37.48 kg/m2; SD 7.15 kg/m2); and experienced 49 binge episodes over the past 3 months (range 15-111; median 41; SD 30.59). Just over half (54%) had at least a bachelor’s degree.
JMIR Form Res 2025;9:e59691
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In addition, most patient participants self-identified as White and non-Hispanic. The lack of racial and ethnic diversity among patients limits the generalizability of these results and must be addressed in subsequent research. Future studies would also benefit from assessing patients’ current levels of depression or anxiety to learn how symptom severity may shape patients’ preferences.
JMIR Form Res 2025;9:e68419
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Specifically, Hispanic and Black individuals have experienced higher rates of infection, hospitalization, and mortality when compared to non-Hispanic White individuals [12-14,18].
JMIR Form Res 2025;9:e62802
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I think risks would be if you utilize—you relied on it heavily, black and white, and you didn’t consider the other aspects of the patient that aren’t going into the algorithms.
Physicians expressed concerns that AI could be a source for additional administrative burden by adding to their clinical workflows. Some participants noted that AI could potentially overwhelm physicians with data, making it difficult to interpret recommendations.
JMIR Ment Health 2025;12:e64414
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