UNASSIGNED: To review and summarize existing literature and knowledge gaps regarding interventions that have been tested to optimize dispatcher-assisted CPR (DA-CPR) instruction protocols for out-of-hospital cardiac arrest (OHCA).
UNASSIGNED: This scoping review was undertaken by an International Liaison Committee on Resuscitation (ILCOR) Basic Life Support scoping review team and guided by the ILCOR methodological framework and the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR). Studies were eligible for inclusion if they were published in peer-reviewed journals and evaluated interventions used to improve DA-CPR. The search was carried out in MEDLINE, EMBASE, Education Resources Information Center (ERIC), PsycINFO, the Cochrane Library, Evidence Based Medicine (EBM) Reviews, and the Campbell Library from 2000 to December 18, 2023.
UNASSIGNED: After full text review, 31 studies were included in the final review. The interventions reviewed were use of video at the scene (n = 9), changes in terminology about compressions (n = 6), implementation of novel DA-CPR protocols (n = 4), advanced dispatcher training (n = 3), centralization of the dispatch center (n = 2), use of metronome or varied metronome rates (n = 2), change in CPR sequence and compression ratio (n = 1), animated audio-visual recording (n = 1), pre-recorded instructions vs. conversational live instructions (n = 1), inclusion of \"undress patient\" instructions (n = 1), and specific verbal encouragement (n = 1). Studies ranged in methodology from registry studies to randomized clinical trials with the majority being observational studies of simulated EMS calls for OHCA. Outcomes were highly variable but included rates of bystander CPR, confidence & willingness to perform CPR, time to initiation of bystander CPR, bystander CPR quality (including CPR metrics: chest compression depth and rate; chest compression fraction; full chest recoil, ventilation rate, overall CPR competency), rates of automated external defibrillator (AED) use, return of spontaneous circulation (ROSC) and survival. Overall, all interventions seem to be associated with potential improvement in bystander CPR and CPR metrics.
UNASSIGNED: There appears to be trends towards improvement on key outcomes however more research is needed. This scoping review highlights the lack of high-quality clinical research on any of the tested interventions to improve DA-CPR. There is insufficient evidence to explore the effectiveness of any of these interventions via systematic review.

OBJECTIVE: To assess the quality, reliability, and level of misinformation in TikTok videos about hysteroscopy.
METHODS: A cross-sectional analysis of TikTok videos retrieved using \"hysteroscopy\" as search term was performed. Patient education materials assessment tool for audio-visual content (PEMAT A/V), the modified DISCERN (mDISCERN), global quality scale (GQS), video information and quality index (VIQI) and misinformation assessment were used.
RESULTS: Of three hundred videos captured, 156 were excluded and 144 were included. Most videos were partially accurate or uninformative (43.8% and 34.7%, respectively). Non-healthcare providers produced more inaccurate or uninformative videos than healthcare workers (51.1% vs 4.0%; P < 0.001). Compared to content by professionals, content by patients showed increased distrust towards gynecologists (11.7% vs 0%; P = 0.012) and increased incidence of anxiety and concern towards hysteroscopy (25.5% vs 2%; P < 0.001). PEMAT A/V scores for understandability and actionability were low at 42.9% (interquartile range [IQR]: 11.1-70) and 0% (IQR: 0-0), respectively. Understandability (P < 0.001) and actionability (P = 0.001) were higher for professionals\' created content relative to patients\' videos. Similarly, median mDISCERN score was low (1 [IQR 0-2]), with significantly higher score for healthcare professionals compared to patients (P < 0.001). Overall video quality was also low, with median VIQI and GQS score of 7 (IQR 4-11) and 1 (IQR 1-3), respectively, and significantly higher scores for healthcare workers\' captions compared to patients\' for both (P < 0.001 and P = 0.001, respectively).
CONCLUSIONS: TikTok videos\' quality on hysteroscopy seems unsatisfactory and misinformative, with low understandability and actionability scores. Videos recorded by healthcare workers show higher quality and less misinformation than those by patients. Raising the awareness regarding the low quality of medical information on social media is crucial to increase future reliability and trustworthiness.

OBJECTIVE: Commonly employed in polyp segmentation, single-image UNet architectures lack the temporal insight clinicians gain from video data in diagnosing polyps. To mirror clinical practices more faithfully, our proposed solution, PolypNextLSTM, leverages video-based deep learning, harnessing temporal information for superior segmentation performance with least parameter overhead, making it possibly suitable for edge devices.
METHODS: PolypNextLSTM employs a UNet-like structure with ConvNext-Tiny as its backbone, strategically omitting the last two layers to reduce parameter overhead. Our temporal fusion module, a Convolutional Long Short Term Memory (ConvLSTM), effectively exploits temporal features. Our primary novelty lies in PolypNextLSTM, which stands out as the leanest in parameters and the fastest model, surpassing the performance of five state-of-the-art image and video-based deep learning models. The evaluation of the SUN-SEG dataset spans easy-to-detect and hard-to-detect polyp scenarios, along with videos containing challenging artefacts like fast motion and occlusion.
RESULTS: Comparison against 5 image-based and 5 video-based models demonstrates PolypNextLSTM\'s superiority, achieving a Dice score of 0.7898 on the hard-to-detect polyp test set, surpassing image-based PraNet (0.7519) and video-based PNS+ (0.7486). Notably, our model excels in videos featuring complex artefacts such as ghosting and occlusion.
CONCLUSIONS: PolypNextLSTM, integrating pruned ConvNext-Tiny with ConvLSTM for temporal fusion, not only exhibits superior segmentation performance but also maintains the highest frames per speed among evaluated models. Code can be found here: https://github.com/mtec-tuhh/PolypNextLSTM .

UNASSIGNED: Ependymomas, rare glial brain tumors, account for <5% of all brain tumors. Interestingly, over 60% of ependymomas occur in the spinal cord of adults, including those originating from the filum terminale, while the rest are found within the brain. The World Health Organization (WHO) categorizes ependymomas into three grades: subependymomas and myxopapillary ependymomas ([MEPNs]; WHO grade I), classic ependymomas (WHO grade II), and anaplastic ependymomas (WHO grade III). Spinal ependymomas generally exhibit a more favorable prognosis compared to their intracranial counterparts and are primarily treated through gross total resection, which is considered the most effective surgical approach. As such, they are recognized as a distinct clinical entity that demands tailored management strategies. MEPNs, which constitute 13% of ependymomas, typically occur in the cauda equina and sometimes extend into the conus medullaris. Most other spinal ependymomas are of the classic type and predominantly arise in the cervical and thoracic regions of the spine. The mean age at diagnosis is 45 years of age. While prognosis varies based on molecular subtypes, complete resection is associated with improved survival.
UNASSIGNED: Here, we demonstrate the technical nuances to safely achieve gross total resection of a giant spinal ependymoma in a 29-year-old female with a medical history notable for sept-optic dysplasia, and panhypopituitarism. The patient presented with progressive neck pain, upper and lower extremity weakness, and numbness for 1 year. On physical examination, she demonstrated mild weakness in her left arm. The preoperative magnetic resonance imaging revealed a cervicothoracic intramedullary mass extending from C4 to T2 with an associated syrinx at C4. Under intraoperative neural monitoring (somatosensory evoked potentials, motor-evoked potentials, and epidural direct wave recordings), the patient underwent a C4 - T2 laminectomy. In addition, spinal ultrasonography helped differentiate solid tumor mass from syrinx formation, thus guiding the focus and extent of the decompression .
UNASSIGNED: Gross total resection was achieved; at 18 postoperative months, the patient had mild residual motor deficit. The pathological evaluation revealed a WHO grade II ependymoma. Subsequent sequential enhanced MR studies at 3, 6, and 12 months confirmed no tumor recurrence.

BACKGROUND: Domestic and family violence (DFV) is a significant public health issue that poses a high risk to women, globally. Women experiencing DFV have higher rates of healthcare utilisation than women not experiencing DFV. Healthcare services are therefore well placed to address DFV and deliver education and awareness interventions to women. Video interventions are a strategy to deliver education to women, while overcoming barriers such as language, literacy, lack of rapport with clinician, or unwillingness to disclose. The current review will aim to further understand the characteristics, methods of evaluation, and outcomes of DFV video education interventions for perinatal women.
METHODS: The review will be reported in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) statement. A systematic search will be conducted of the following databases: Medline, Embase, PsycINFO, PsycArticles, Scopus, and Web of Science Core Collection. Two independent reviewers will screen titles and abstracts against the inclusion criteria, followed by a full text screening of eligible articles. A third reviewer will resolve discrepancies. All study types will be included. Only studies published in English will be included. Risk of bias will be assessed using the Quality Assessment with Diverse Studies (QuADS) tool. Data will undergo an aggregate mixed method synthesis informed by The Joanna Briggs Institute, before being analysed using a thematic approach.
CONCLUSIONS: This systematic review will provide evidence on best practice for the creation, delivery, and evaluation of DFV video interventions for women in the peripartum.
BACKGROUND: PROSPERO registration number CRD42023475338.

The hydrological monitoring of flow data is important for flood prevention and modern river management. However, traditional contact methods are increasingly struggling to meet the requirements of simplicity, accuracy, and continuity. The video-based river discharge measurement is a technique to monitor flow velocity without contacting the water body by using the image-recognition algorithms, which has been verified to have the advantages of full coverage and full automation compared with the traditional contact technique. In order to provide a timely summary of the available results and to inform further research and applications, this paper reviews and synthesizes the literature on the general implementation routes of the video-based river discharge measurement technique and the principles and advances of today\'s popular image-recognition algorithms for velocity detection. Then, it discusses the challenges of image-recognition algorithms in terms of image acquisition conditions, parameter uncertainties, and complex meteorological and water environments. It is concluded that the performance of this technique can be improved by enhancing the robustness and accuracy of video-based discharge measurement algorithms, minimizing weather effects, and improving computational efficiency. Finally, future development directions for further perfecting this technique are outlined.

OBJECTIVE: Cerebral palsy (CP) causes movement and posture challenges due to central nervous system damage, requiring lifelong management. During the COVID-19 pandemic, there was limited access to facility-based treatments, which increased the demand for home-based therapies and digital resources. We analyzed the qualitative and quantitative aspects of YouTube videos focusing on CP therapy for children.
METHODS: A total of 95 videos were evaluated for content quality using the modified DISCERN (mDISCERN) tool and Global Quality Scale (GQS). The therapeutic program efficacy was assessed via the International Consensus on Therapeutic Exercise and Training (i-CONTENT) tool, Consensus on Therapeutic Exercise Training (CONTENT) scale, and Consensus on Exercise Reporting Template (CERT), and popularity was measured by the video power index (VPI).
RESULTS: YouTube-based therapeutic videos for children with CP generally exhibit reliability in video content and effectiveness in therapeutic programming, and no correlations were found between video popularity and quality. However, the qualitative analysis reveals insufficient mention of uncertainty in the treatment principles within the video content as well as a lack of detailed treatment descriptions encompassing aspects such as intensity, frequency, timing, setting, outcome measurement during and post-treatment, and safety considerations within therapeutic programs. In particular, this tendency was consistent regardless of the uploader\'s expertise level and the classification of the neuromotor therapy type in contrast to that of the exercise type.
CONCLUSIONS: YouTube-based content for CP children still has significant limitations in how substantive viewers, such as caregivers, can acquire tailored information and apply practical information to their exercise and treatment programs.

OBJECTIVE: To investigate the consistency of Chatbot Generative Pretrained Transformer (ChatGPT)-4 in the analysis of clinical pictures of common laryngological conditions.
METHODS: Prospective uncontrolled study.
METHODS: Multicenter study.
METHODS: Patient history and clinical videolaryngostroboscopic images were presented to ChatGPT-4 for differential diagnoses, management, and treatment(s). ChatGPT-4 responses were assessed by 3 blinded laryngologists with the artificial intelligence performance instrument (AIPI). The complexity of cases and the consistency between practitioners and ChatGPT-4 for interpreting clinical images were evaluated with a 5-point Likert Scale. The intraclass correlation coefficient (ICC) was used to measure the strength of interrater agreement.
RESULTS: Forty patients with a mean complexity score of 2.60 ± 1.15. were included. The mean consistency score for ChatGPT-4 image interpretation was 2.46 ± 1.42. ChatGPT-4 perfectly analyzed the clinical images in 6 cases (15%; 5/5), while the consistency between GPT-4 and judges was high in 5 cases (12.5%; 4/5). Judges reported an ICC of 0.965 for the consistency score (P = .001). ChatGPT-4 erroneously documented vocal fold irregularity (mass or lesion), glottic insufficiency, and vocal cord paralysis in 21 (52.5%), 2 (0.05%), and 5 (12.5%) cases, respectively. ChatGPT-4 and practitioners indicated 153 and 63 additional examinations, respectively (P = .001). The ChatGPT-4 primary diagnosis was correct in 20.0% to 25.0% of cases. The clinical image consistency score was significantly associated with the AIPI score (rs = 0.830; P = .001).
CONCLUSIONS: The ChatGPT-4 is more efficient in primary diagnosis, rather than in the image analysis, selecting the most adequate additional examinations and treatments.

UNASSIGNED: To assess the utility of wearable cameras in medical examinations, we created a physician-view video-based examination question and explanation, and the survey results indicated that these cameras can enhance the evaluation and educational capabilities of medical examinations.

UNASSIGNED: Web-based physical activity interventions often fail to reach the anticipated public health impact due to insufficient use by the intended audiences.
UNASSIGNED: The purpose of this study was to use a human-centered design process to optimize the user experience of the Interrupting Prolonged sitting with ACTivity (InPACT) at Home website to promote youth physical activity participation.
UNASSIGNED: Qualitative interviews were conducted to assess engagement and pain points with the InPACT at Home website. Interview data were used to create affinity maps to identify themes of user responses, conduct a heuristic evaluation according to Nielsen\'s usability heuristics framework, and complete a competitive analysis to identify the strengths and weaknesses of competitors who offered similar products.
UNASSIGNED: Key themes from end user interviews included liking the website design, finding the website difficult to navigate, and wanting additional features (eg, library of watched videos). The website usability issues identified were lack of labeling and categorization of exercise videos, hidden necessary actions and options hindering users from decision-making, error-prone conditions, and high cognitive load of the website. Competitive analysis results revealed that YouTube received the highest usability ratings followed by the Just Dance and Presidential Youth Fitness Program websites.
UNASSIGNED: Human-centered design approaches are useful for bringing end users and developers together to optimize user experience and impact public health. Future research is needed to examine the effectiveness of the InPACT at Home website redesign to attract new users and retain current users, with the end goal of increasing youth physical activity engagement.