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Automated Interpretation of Lung Sounds by Deep Learning in Children With Asthma: Scoping Review and Strengths, Weaknesses, Opportunities, and Threats Analysis

Automated Interpretation of Lung Sounds by Deep Learning in Children With Asthma: Scoping Review and Strengths, Weaknesses, Opportunities, and Threats Analysis

Of the 18 studies, 11 (61%) identified through the academic literature search were excluded due to ineligible study design (n=4, 36% in adults; n=4, 36% not relying on AI or lung sounds; and n=3, 27% other study types). Among them were 3 quasi-experimental studies [35-37] focused on computerized wheeze detection through respiratory spectrum analysis in children with asthma, not involving the support of AI algorithms.

Isabelle Ruchonnet-Métrailler, Johan N Siebert, Mary-Anne Hartley, Laurence Lacroix

J Med Internet Res 2024;26:e53662

Use of a Semiautomatic Text Message System to Improve Satisfaction With Wait Time in the Adult Emergency Department: Cross-sectional Survey Study

Use of a Semiautomatic Text Message System to Improve Satisfaction With Wait Time in the Adult Emergency Department: Cross-sectional Survey Study

The nurses’ questionnaire was proposed to all nurses of the unit (n=25) but was only completed by 10 nurses. Demographics of participants and information on their medical encounter. As presented in Table 2, of the total 100 respondents, 97% (n=97) were satisfied with the SMS text message system. Among these, approximately 75% (n=75) were totally satisfied with their waiting time and 56% (n=56) were satisfied.

Frederic Ehrler, Jessica Rochat, Johan N Siebert, Idris Guessous, Christian Lovis, Hervé Spechbach

JMIR Med Inform 2022;10(9):e34488

Usability Testing of a Patient-Centered Mobile Health App for Supporting and Guiding the Pediatric Emergency Department Patient Journey: Mixed Methods Study

Usability Testing of a Patient-Centered Mobile Health App for Supporting and Guiding the Pediatric Emergency Department Patient Journey: Mixed Methods Study

Demographic characteristics of study participants (N=17). a ED: emergency department. The overall completion rate (tasks completed and failed) was 88.2% (135/153). A total of 4 participants did not perform some tasks, 2 (50%) participants ignored task 6a, 1 (25%) participant experienced a problem with the Wi-Fi connection in task 6b, and 1 (25%) participant experienced a software bug in task 7.

Jessica Rochat, Frédéric Ehrler, Johan N Siebert, Arnaud Ricci, Victor Garretas Ruiz, Christian Lovis

JMIR Pediatr Parent 2022;5(1):e25540

Impact of a Mobile App on Paramedics’ Perceived and Physiologic Stress Response During Simulated Prehospital Pediatric Cardiopulmonary Resuscitation: Study Nested Within a Multicenter Randomized Controlled Trial

Impact of a Mobile App on Paramedics’ Perceived and Physiologic Stress Response During Simulated Prehospital Pediatric Cardiopulmonary Resuscitation: Study Nested Within a Multicenter Randomized Controlled Trial

Comparison of STAI Form Y-1 and VAS scores before and after scenario completion (N=150). a Linear regression models adjusted for center; in addition, differences in postintervention and relative change were adjusted for the preintervention values. b STAI: State-Trait Anxiety Inventory. c VAS: visual analogue scale. State-Trait Anxiety Inventory Form Y-1 and Visual Analogic Score box plots per study arm.

Matthieu Lacour, Laurie Bloudeau, Christophe Combescure, Kevin Haddad, Florence Hugon, Laurent Suppan, Frédérique Rodieux, Christian Lovis, Alain Gervaix, Frédéric Ehrler, Sergio Manzano, Johan N Siebert, PedAMINES Prehospital Group

JMIR Mhealth Uhealth 2021;9(10):e31748