AIMC Topic: Parents

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Artificial intelligence guidance in ethically challenging clinical scenarios in child and adolescent psychiatry: a qualitative study in the context of Turkiye.

BMC medical ethics
BACKGROUND: Ethical decision-making in child and adolescent psychiatry (CAP) is inherently complex, shaped by developmental vulnerability, evolving autonomy, and competing responsibilities to patients, families, and the legal system. Clinicians often...

Enhancing Parenting Using AI: Exploratory Hackathon.

JMIR formative research
BACKGROUND: Parenting skills programs are the primary intervention for conduct disorders in children. The Pause app enhances these programs by providing digital microinterventions that reinforce learning between sessions and after program completion....

Evaluation of the readability, quality, and accuracy of AI chatbot responses to questions about deleterious oral habits.

BMC oral health
BACKGROUND: Artificial intelligence (AI)-based chatbots are increasingly used by parents as convenient and fast-access sources of information on health-related topics. This study aimed to assess the readability, accuracy and overall quality of respon...

Bridging the gap: explainable ai for autism diagnosis and parental support with TabPFNMix and SHAP.

Scientific reports
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition that affects a growing number of individuals worldwide. Despite extensive research, the underlying causes of ASD remain largely unknown, with genetic predisposition, parental hi...

Performance of several large language models when answering common patient questions about type 1 diabetes in children: accuracy, comprehensibility and practicality.

BMC pediatrics
BACKGROUND: The use of large language models (LLMs) in healthcare has expanded significantly with advances in natural language processing. Models, such as ChatGPT and Google Gemini, are increasingly used to generate human-like responses to questions,...

Evaluation of ChatGPT-4's performance on pediatric dentistry questions: accuracy and completeness analysis.

BMC oral health
BACKGROUND: This study aimed to evaluate the accuracy and completeness of Chat Generative Pre-trained Transformer-4 (ChatGPT-4) responses to frequently asked questions (FAQs) posed by patients and parents, as well as curricular questions related to p...

Predicting adolescent suicide risk using integrated data from adolescents, parents and siblings: An analysis of multiple machine learning models.

Journal of affective disorders
Adolescent suicide is a critical public health issue, yet accurately predicting suicide risk remains challenging. Few studies integrate adolescents' self-reports with mental health, especially suicidality assessments from parents and siblings. This s...

A Feasibility Study of a Video-Based Application by Parents of Infants Born Full-Term and Preterm.

Pediatric physical therapy : the official publication of the Section on Pediatrics of the American Physical Therapy Association
PURPOSE: To examine the factors that influence the usability of a video-based mobile application (app) by parents of infants born full-term and preterm.

Study protocol for the Rainbow Austrian Longitudinal Family (RALF) study: a longitudinal, multi-method, multi-rater investigation of risk and resilience factors in Austrian LGBTQ+ parent families.

BMC psychology
BACKGROUND: Research on LGBTQ+ parent families is evolving to include a growing range of family systems, identities, methodologies, and topics. However, studies that examine minority-specific risk and resilience factors and their associations with wi...

Can ChatGPT provide parent education for oral immunotherapy?

Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
BACKGROUND: Oral Immunotherapy (OIT) has exhibited great potential in the treatment of food allergy. However, there is no global consensus on best practices of OIT. Parents of allergic children often struggle with concerns regarding OIT methodology, ...