Using AI-Based Virtual Companions to Assist Adolescents with Autism in Recognizing and Addressing Cyberbullying.

Social media platforms and online gaming sites play a pervasive role in facilitating peer interaction and social development for adolescents, but they also pose potential threats to health and safety. It is crucial to tackle cyberbullying issues within these platforms to ensure the healthy social development of adolescents. Cyberbullying has been linked to adverse mental health outcomes among adolescents, including anxiety, depression, academic underperformance, and an increased risk of suicide. While cyberbullying is a concern for all adolescents, those with disabilities are particularly susceptible and face a higher risk of being targets of cyberbullying. Our research addresses these challenges by introducing a personalized online virtual companion guided by artificial intelligence (AI). The web-based virtual companion's interactions aim to assist adolescents in detecting cyberbullying. More specifically, an adolescent with ASD watches a cyberbullying scenario in a virtual environment, and the AI virtual companion then asks the adolescent if he/she detected cyberbullying. To inform the virtual companion in real time to know if the adolescent has learned about detecting cyberbullying, we have implemented fast and lightweight cyberbullying detection models employing the T5-small and MobileBERT networks. Our experimental results show that we obtain comparable results to the state-of-the-art methods despite having a compact architecture.

Viral voices: A multi-platform analysis of tonsillectomy on social media.

OBJECTIVES: To assess the influence of social media platforms, including TikTok, Instagram, and Facebook, in shaping public perceptions about tonsillectomies and to identify the nature of the content disseminated on these platforms. METHODS: A comprehensive analysis of 1482 relevant social media posts related to tonsillectomies was conducted across major platforms, including TikTok, Instagram, and Facebook. Content was categorized based on author, topic of the post, timeframe, and overall tone. The study also compared engagement metrics across platforms. RESULTS: TikTok emerged as the most engaging platform with a mean of 3272.8 likes per post. Patients drove 61.6 % of the discourse, with 63.9 % of discussions being lifestyle oriented. Educational content constituted 12.5 % of the overall discourse. Sentiments towards the procedure were almost evenly split, with 29.4 % positive and 28.5 % negative; 92 % of the negative posts were authored by patients. CONCLUSIONS: Patients were the most common social media authors, driving the conversation and a significant portion expressing negative views. Physicians, conversely, showed a low level of social media engagement. By understanding and addressing online narratives, clinicians can offer more informed patient support, debunk myths, and provide empathetic insights, ensuring positive patient experiences in the era of digital health communication.

Large Angiomatous Nasal Polyp Presents With Epistaxis Imitating Juvenile Nasopharyngeal Angiofibroma.

An angiomatous nasal polyp is a rare subtype of sinonasal polyp that is commonly found in the middle meatus and characterized by the presence of blood vessels within polyp tissue. It is a benign lesion but is prone to misdiagnosis as a malignant tumor because it typically grows larger and is more vascular than other types of polyps. In this report, a 16-year-old male with no significant past medical history presents with a six-month history of epistaxis and progressive nasal obstruction. Examination of the oral cavity showed a centrally located soft palate mass. CT maxillofacial with contrast showed a hypervascular 3.4 x 4.7 x 6.1 cm mass in the nasal cavity extending through the nasal choanae and down to the level of the tongue. MRI showed a heterogenous polypoid mass originating from the left middle meatus vs. nasal cavity, with characteristics favoring an aggressive tumor. The patient was taken for interventional radiology (IR) embolization and nasal endoscopy. Biopsy showed the left nasal mass contained granulation tissue and the palatal mass consisted of necrotic tissue. He was taken for second-stage endoscopic sinus surgery with plans for extensive reconstruction if necessary. Extensive polyposis was found without gross evidence of an aggressive tumor. The anterior polyposis was debulked and the polyp was cut at its root to allow for removal of the nasopharyngeal/oropharyngeal portion through the mouth. He was able to be discharged on the same day and his postoperative recovery was uncomplicated. Angiomatous nasal polyps are uncommon, share features of aggressive tumors on imaging, and require angiography and biopsy to safely rule out malignancy. Endoscopic surgical resection typically results in good outcomes and low recurrence rates.

In-the-Wild Affect Analysis of Children with ASD Using Heart Rate.

Recognizing the affective state of children with autism spectrum disorder (ASD) in real-world settings poses challenges due to the varying head poses, illumination levels, occlusion and a lack of datasets annotated with emotions in in-the-wild scenarios. Understanding the emotional state of children with ASD is crucial for providing personalized interventions and support. Existing methods often rely on controlled lab environments, limiting their applicability to real-world scenarios. Hence, a framework that enables the recognition of affective states in children with ASD in uncontrolled settings is needed. This paper presents a framework for recognizing the affective state of children with ASD in an in-the-wild setting using heart rate (HR) information. More specifically, an algorithm is developed that can classify a participant's emotion as positive, negative, or neutral by analyzing the heart rate signal acquired from a smartwatch. The heart rate data are obtained in real time using a smartwatch application while the child learns to code a robot and interacts with an avatar. The avatar assists the child in developing communication skills and programming the robot. In this paper, we also present a semi-automated annotation technique based on facial expression recognition for the heart rate data. The HR signal is analyzed to extract features that capture the emotional state of the child. Additionally, in this paper, the performance of a raw HR-signal-based emotion classification algorithm is compared with a classification approach based on features extracted from HR signals using discrete wavelet transform (DWT). The experimental results demonstrate that the proposed method achieves comparable performance to state-of-the-art HR-based emotion recognition techniques, despite being conducted in an uncontrolled setting rather than a controlled lab environment. The framework presented in this paper contributes to the real-world affect analysis of children with ASD using HR information. By enabling emotion recognition in uncontrolled settings, this approach has the potential to improve the monitoring and understanding of the emotional well-being of children with ASD in their daily lives.

Improving capacity to identify, assess, and manage adolescents engaging in non-suicidal self-injury using patient avatars.

PURPOSE: We developed and evaluated a training comprising a didactic and virtual practice session with human-guided patient avatars to increase pediatric residents' competence to identify and assess non-suicidal self-injury (NSSI) and suicide risk. METHODS: Thirty pediatric residents at three children's hospitals in Florida participated in the training and completed pre-, one-month post-, and three-months post-training surveys. One-way repeated measures ANOVA with post-hoc comparisons determined changes in confidence, comfort, behavioral intentions, attitudes, knowledge, and behavior over time. Qualitative responses provided feedback on the training, especially the novel practice session with adolescent patient avatars. RESULTS: Three-months post-training residents expressed significantly greater confidence in talking to adolescents who self-injure, applying the SOARS method to assess self-injury, and assessing functions/reasons for self-injury; reported feeling significantly more comfortable asking about self-injury, well-equipped to handle the emotional aspects of self-injury, and comfortable treating adolescents who self-injure; reported greater behavioral intentions to talk to adolescents about self-injury, assess an adolescent's stage of change for stopping self-injury, and provide brief interventions for adolescents who self-injure; and used SOARS to evaluate current NSSI with a greater proportion of adolescent patients. Qualitative feedback expressed positive perceptions, especially related to the virtual-reality role-play session. CONCLUSIONS: Incorporating an interactive, human-guided virtual experience using role-playing and feedback with patient avatars represents a viable option comparable to using typical standardized patients to expand the scalability of NSSI trainings for pediatric residents, especially when they occur virtually.

WAVE: A Web-Based Platform for Delivering Knowledge-Driven Virtual Experiences.

Many studies have demonstrated the usefulness of virtual characters in educational settings; however, widespread adoption of such tools is limited by development costs and accessibility. This article describes a novel platform, web automated virtual environment (WAVE), to deliver virtual experiences through the web. The system integrates data acquired from a variety of sources in a manner that allows the virtual characters to exhibit behaviors that are appropriate to the designer's goals, such as providing support for users based on understanding their activities and their emotional states. Our WAVE platform overcomes the challenge of the scalability of the human-in-the-loop model by employing a web-based system and triggering automated character behaviors. To support wide-scale use, we are making WAVE freely accessible (part of the Open Education Resources) and available anytime, anywhere.

Acute Ischemic Stroke: Acute Management and Selection for Endovascular Therapy.

Stroke is a medical emergency and expeditious treatment is critical to reducing permanent disability or death. Acute management of patients suffering from acute ischemic stroke (AIS) requires early recognition of symptoms, rapid assessment and stabilization (hyperacute workup), and appropriate selection of patients for reperfusion with intravenous alteplase and/or mechanical thrombectomy. Established stroke protocols which involve both prehospital emergency medical services and in-hospital multidisciplinary stroke teams have been shown to be crucial to reducing the long term, devastating effects of stroke.

Analysis of 334 Cases of Pediatric Esophageal Foreign Body Removal Suggests that Traditional Methods Have Similar Outcomes Whereas a Magnetic Tip Orogastric Tube Appears to Be an Effective, Efficient, and Safe Technique for Disc Battery Removal.

Procedures and outcomes for pediatric esophageal foreign body removal were analyzed. Traditional methods of battery removal were compared with a magnetic tip orogastric tube (MtOGT). A single institution retrospective review from 1997 to 2014 of pediatric patients with esophageal foreign bodies was performed. Balloon extraction with fluoroscopy (performed in 173 patients with 91% success), flexible endoscopy (92% success in 102 patients), and rigid esophagoscopy (95% in 38 patients) had excellent success rates. A MtOGT had 100 per cent success in six disc battery patients, when other methods were more likely to fail, and was the fastest. Power analysis suggested 20 patients in the MtOGT group would be needed for significant savings in procedural time. Thirty-two per cent of all foreign bodies and 95 per cent of batteries had complications (P = 0.002) because of the foreign body. Overall, 1.2 per cent had severe complications, whereas 10 per cent of batteries had severe complications (P = 0.04). Each technique if applied appropriately can be a reasonable option for esophageal foreign body removal. Magnetic tip orogastric tubes used to extract ferromagnetic objects like disc batteries had the shortest procedure time and highest success rate although it was not statistically significant. Disc batteries require emergent removal and have a significant complication rate.

Otolaryngology workforce analysis.

OBJECTIVES/HYPOTHESIS: The number of trained otolaryngologists available is insufficient to supply current and projected US health care needs. The goal of this study was to assess available databases and present accurate data on the current otolaryngology workforce, examine methods for prediction of future health care needs, and explore potential issues with forecasting methods and policy implementation based on these predictions. STUDY DESIGN: Retrospective analysis of research databases, public use files, and claims data. METHODS: The total number of otolaryngologists and current practices in the United States was tabulated using the databases of the American Academy of Otolaryngology-Head and Neck Surgery, American Medical Association, American Board of Otolaryngology, American College of Surgeons, Association of American Medical Colleges, National Center for Health Statistics, and Department of Health and Human Services. Otolaryngologists were identified as surgeons and classified into surgical groups using a combination of AMA primary and secondary self-reported specialties and American Board of Medical Specialties certifications. Data gathered were cross-referenced to rule out duplications to assess total practicing otolaryngologists. Data analyzed included type of practice: 1) academic versus private and 2) general versus specialty; and demographics: 1) urban versus rural, 2) patient age, 3) reason for visit (referral, new, established, surgical follow-up), 4) reason for visit (diagnosis), and 5) payer type. RESULTS: Analysis from the above resources estimates the total number of otolaryngologists practicing in the United States in 2011 to be 12,609, with approximately 10,522 fully trained practicing physicians (9,232-10,654) and 2,087 in training (1,318 residents and 769 fellows/others). Based on 2011 data, workforce projections would place the fully trained and practicing otolaryngology workforce at 11,088 in 2015 and 12,084 in 2025 unless changes in training occur. The AAO-HNS Physicians Resource Committee performed an extensive analysis of collated data from multiple sources in 2014 and identified 10,800 practicing otolaryngologists and 2,087 in training. It is estimated that the current attrition rate is approximately 306 otolaryngologists per year. Percentage distribution of office visits by patient age was found to be 20% <15 years old, 7% 15 to 24 years old, 21% 25 to 44 years old, 32% 45 to 64 years old, 11% 65 to 74 years old, and 10% ≥75 years old. Reason for visit was 34% new, 29% chronic, 17% chronic with exacerbation, and 15% pre- or postsurgical follow-up. The top diagnoses consisted of otitis media, chronic sinusitis, and impacted cerumen. Payer mix consisted of 59% private insurance, 19% Medicare, and 12% Medicaid/Children's Health Insurance Program. CONCLUSIONS: Despite past findings and predictions of 8,000 to 8,500 otolaryngologists practicing in the United States, collated data from above resources places the total at 12,887, with 10,800 fully trained and practicing in 2014. This 30% to 50% underestimation of the otolaryngology workforce has an impact on future predictions and resource utilization analysis. Even when this correction is considered, the available trained otolaryngologists required to serve the otolaryngologic health care needs of the US population are still insufficient and understaffed. The impact of an aging population and the estimated 30 to 47 million newly insured citizens under the 2010 Patient Protection and Affordable Care Act are also unprecedented variables that must be considered. Further analysis of differences in physician productivity and geographic population density, and model formation of current otolaryngology workforce utilization, are needed to predict future public health needs. LEVEL OF EVIDENCE: NA Laryngoscope, 126:5-11, 2016.

PhyloPen: Phylogenetic Tree Browsing Using a Pen and Touch Interface.

Phylogenetic trees are used by researchers across multiple fields of study to display historical relationships between organisms or genes. Trees are used to examine the speciation process in evolutionary biology, to classify families of viruses in epidemiology, to demonstrate co-speciation in host and pathogen studies, and to explore genetic changes occurring during the disease process in cancer, among other applications. Due to their complexity and the amount of data they present in visual form, phylogenetic trees have generally been difficult to render for publication and challenging to directly interact with in digital form. To address these limitations, we developed PhyloPen, an experimental novel multi-touch and pen application that renders a phylogenetic tree and allows users to interactively navigate within the tree, examining nodes, branches, and auxiliary information, and annotate the tree for note-taking and collaboration. We present a discussion of the interactions implemented in PhyloPen and the results of a formative study that examines how the application was received after use by practicing biologists -- faculty members and graduate students in the discipline. These results are to be later used for a fully supported implementation of the software where the community will be welcomed to participate in its development.

Arbor: comparative analysis workflows for the tree of life.

We describe our efforts to develop a software package, Arbor, that will enable scientific research in all aspects of comparative biology. This software will enable developmental biologists, geneticists, ecologists, geographers, paleobiologists, educators, and students to analyze diverse types of comparative data at multiple phylogenetic and spatiotemporal scales using an intuitive visual interface. Arbor's user-defined workflows will be exported and shared so that entire analyses can be quickly replicated with new or updated data. Arbor will also be designed to easily and seamlessly expand to include novel analytical tools as they are developed. Here we describe the core components of Arbor, as well as provide details of one proposed test case to illustrate the software's key functionality.

Prenatal ultrasound exposure and association with postnatal hearing outcomes.

OBJECTIVE: Prenatal ultrasound exams have become increasingly frequent. Although no serious adverse effects are known, the public health implications would be enormous should adverse effects on auditory development be shown. This study looks to establish a possible correlation between hearing loss and increased prenatal ultrasound exposure. DESIGN: Retrospective cohort analysis. SETTING: Tertiary academic referral center. METHODS: A retrospective review of 100 children undergoing newborn hearing screening was conducted. Extensive data collection was performed, and this data was analyzed for a potential correlation between failure of newborn hearing screening and increased prenatal ultrasound exposure, as well as for a potential correlation of other variables with hearing loss. MAIN OUTCOME MEASURES: Postnatal hearing outcomes. RESULTS: A higher number of both total and 3rd trimester ultrasound exams as well as a younger gestational age at birth were all found to be significantly associated with a higher likelihood of passing the newborn hearing screen (p<0.001 for each). No other factors were found to reach statistical significance. CONCLUSIONS: Our results show that there is no correlation between a higher level of prenatal ultrasound exposure and hearing loss. Indeed, infants who had more prenatal ultrasounds in the third trimester were more likely to pass their screening hearing exams. The finding that children receiving more prenatal ultrasounds have a higher likelihood of passing newborn hearing screens serves as an excellent reminder of the classic statistics rule that correlation does not imply causation.

Randomized trial of a peer resistance skill-building game for Hispanic early adolescent girls.

BACKGROUND: Adolescents can use peer resistance skills to avoid being pressured into risky behavior, such as early sexual behavior. Avatar-based virtual reality technology offers a novel way to help build these skills. OBJECTIVES: The aims of this study were to evaluate the feasibility of an avatar-based virtual reality peer resistance skill building game (DRAMA-RAMA), to explore the impact of game play on peer resistance self-efficacy, and to assess how positively the game was perceived. METHODS: Forty-four low-income early adolescent Hispanic girls were assigned randomly to either the intervention (DRAMA-RAMA) or attention control game (Wii Dancing With the Stars) condition. All participants were offered a five-session curriculum that included peer resistance skill content before playing their respective game for 15 minutes, once a week, for 2 weeks. Participants completed electronic surveys at baseline, after game play, and at 2 months to assess demographics, peer resistance self-efficacy, and sexual behavior. They also completed a paper-pencil game experience questionnaire immediately after game play. Data were analyzed using descriptive statistics, t test, chi-square, and analyses of covariance. RESULTS: Separate analyses of covariance showed a significant game effect at posttest for the peer resistance self-efficacy measure (F = 4.21, p < .05), but not at follow-up (F = 0.01, p = .92). DRAMA-RAMA was rated as positively as the Wii Dancing With the Stars (p > .26). DISCUSSION: This randomized control trial provides preliminary support for the hypothesis that playing an avatar-based virtual reality technology game can strengthen peer resistance skills, and early adolescent Hispanic girls will have a positive response to this game.

Mixed Reality for PTSD/TBI Assessment.

Mixed Reality (MR) refers to the blending of virtual content into the real world. Using MR, we create contextually meaningful scenarios in which users carry out tasks encountered in the presence of visual and aural distracters. Visual distracters can include subtle ones - people walking; and more abrupt ones - cartons falling. Aural distracters can include gentle ones - fans whirring; and more aggressive ones - automobiles backfiring. The intensity of these distracters can be dynamically controlled by a therapist or software that takes into account the patient's perceived level of stress. Intensity can also be controlled between experiences. For example, one may increase the stress level in a subsequent session, attempting to improve a person's tolerance. Assessment of progress includes psychophysical metrics (stress indicators) and the performance of tasks (accuracy and adherence to time constraints). By accurately capturing a patient's interaction with the environment in the context of simulation events, we can use MR as a tool for assessment and rehabilitation planning for individuals with stress-related injuries. This paper reports on the MR environment we have developed and its efficacy (realized and potential) for the assessment of post-traumatic stress disorder (PTSD) with or without traumatic brain injury (TBI).

Cognitive Therapy Using Mixed Reality for Those Impaired by a Cerebrovascular Accident (CVA).

There is new research showing that interactive multimodal rehabilitation may enhance cognitive therapy after cerebrovascular accident. A well-designed Mixed Reality system provides a diverse, controllable and versatile therapeutic environment to help promote neural plasticity during recovery. In addition to stroke patients, there are other groups, such as those with traumatic brain injury (TBI) that could benefit from the system. Initial results, both paper-and-pencil measures and physiological measures, in a trial with fourteen participants are discussed.

Effectiveness of a test-taking strategy on achievement in essay tests for students with learning disabilities.

Research was conducted to ascertain if an essay-writing strategy was effective at improving the achievement on essay tests for 7th- and 8th-grade students with reading and writing disabilities. Students were assigned via a stratified random sample to treatment or control group. Student scores were also compared to students without learning disabilities nominated by teachers as average writers. A 6-step essay strategy was taught that included analyzing the essay prompt, outlining, writing a response, and reviewing the answer. On the posttest, intervention group students significantly outperformed control group students on essay measures related to strategy use, content, and organization. There was no significant difference between treatment group and students without learning disabilities on posttest measures of content and organization.