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Skip search results from other journals and go to results- 417 Journal of Medical Internet Research
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Frequency analyses of positive and negative feedback given by the refugees from (A) Ukraine and (B) other countries of origin participating in the qualitative study in Germany. The numbers of positive and negative feedback are illustrated separately for the adapted version and the nonadapted version of the digital intervention Sleep-e tested in the study. oth: other countries of origin; ukr: Ukraine.
You can take a lot from it also. And you can learn easily also.
To have the training..., it’s much easier.
JMIR Form Res 2025;9:e65412
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Predicted probabilities of telemedicine visits with 95% CIs for interactions between health system and (A) age, (B) race and ethnicity, and (C) language preference.
Given the significant interactions by health system, we analyzed each system independently.
J Med Internet Res 2025;27:e64635
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Screenshots from the Health Mpowerment app—(A) enhanced version of the Health Mpowerment app for the intervention condition and (B) limited version of the Health Mpowerment app for the control condition. PEP: postexposure prophylaxis; Pr EP: pre-exposure prophylaxis.
Pr EP navigators will connect with participants immediately following app onboarding.
JMIR Res Protoc 2025;14:e68085
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Using AI to Translate and Simplify Spanish Orthopedic Medical Text: Instrument Validation Study
Box plots display the BLEU 1 (A), BLEU 2 (B), BLEU 3 (C), and BLEU 4 (D) scores for translations generated by Google Translate and the 4 different GPT-4 input prompts. BLEU: bilingual evaluation understudy.
The unigram precision analysis (Figure 2 A) revealed significant differences between Google Translate and prompts 1, 2, 3, and 4.
JMIR AI 2025;4:e70222
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