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Parental Assessment of Postsurgical Pain in Infants at Home Using Artificial Intelligence–Enabled and Observer-Based Tools: Construct Validity and Clinical Utility Evaluation Study

Fatos Sada, Paola Chivers, Sokol Cecelia, Sejdi Statovci, Kujtim Ukperaj, Jeffery Hughes, Kreshnik Hoti

JMIR Pediatr Parent 2024;7:e64669

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Evaluating the User Experience of a Smartphone-Delivered Sexual Health Promotion Program for Older Adults in the Netherlands: Single-Arm Pilot Study

Ana Correia de Barros, Mariëtte Bergmans, Kreshnik Hasanaj, Drianë Krasniqi, Catarina Nóbrega, Bruna Carvalho Carneiro, Priscila A Vasconcelos, Ana Luísa Quinta-Gomes, Pedro J Nobre, Joana Couto da Silva, Cristina Mendes-Santos

JMIR Hum Factors 2024;11:e56206

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The Clinical Suitability of an Artificial Intelligence–Enabled Pain Assessment Tool for Use in Infants: Feasibility and Usability Evaluation Study

In the study by Hoti et al [10], a pragmatic approach was adopted to the use of NFCS-R, where coders were asked to complete their assessment after a single viewing of each 10-second video segment, and after multiple viewings of the same segment, the results did not demonstrate any statistically significant differences. This approach also emulated real-world clinical practice settings in the context of the comparison with Pain Chek Infant.

Jeffery David Hughes, Paola Chivers, Kreshnik Hoti

J Med Internet Res 2023;25:e41992

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