OBJECTIVES: This study is the first to develop and evaluate a machine learning (ML) model for predicting pelvic adhesions based on ultrasound features, utilizing the SHapley Additive Explanations (SHAP) framework for interpretability analys…
OBJECTIVE: To evaluate the quality, reliability, and user engagement of endometriosis-related videos on TikTok and Bilibili, identifying variations by platform, uploader type, and content category to inform digital health strategies. METHO…
BackgroundChronic pain affects up to 20% of the population and often results in significant distress, disability, and reduced quality of life. Despite compelling evidence for behavioural treatments, treatment access remains limited. To impr…
ObjectivesThis study brainstormed and identified key priorities for integrating trauma-informed care (TIC) principles into the design and utilization of sexual and reproductive health (SRH)-related digital technologies.MethodsWe conducted a…
BackgroundLarge language models (LLMs) offer opportunities for sexual health education, but integrating them into digital products presents clinical challenges and risks, particularly regarding clinical safety and monitoring at scale. This …
ObjectiveUltrasound imaging of the endometrium is often affected by speckle noise, low contrast, and physiological cycle variations, which lead to blurred boundaries and ambiguous structural representation. To address these challenges, this…
ObjectiveBuilding upon information quality assessment frameworks and social exchange theory, this study quantifies online doctor-patient communication quality across three dimensions using text analytics methods. Focusing on gynecological c…
OBJECTIVE: While endometriosis is estimated to affect 1 in 10 women globally, awareness of the disease as well as research and funding to fight the disease remains lacking as compared with other chronic diseases. This study examines how soc…
Diagnosis and treatment of endometrial diseases are crucial for women's health. Over the past decade, ultrasound has emerged as a non-invasive, safe, and cost-effective imaging tool, significantly contributing to endometrial disease diagnos…
BackgroundTo overcome the challenge of psychotherapist scarcity in applying pain psychotherapy in clinical practice, we developed a virtual reality (VR) program delivering weeks of pain psychotherapy without psychotherapists, with a focus o…
BackgroundPremature ovarian failure (POF) is a condition where ovarian function ceases before age 40, leading to infertility and other health issues. As public health awareness increases, platforms like TikTok and Bilibili have become key s…
BackgroundPeople living with Long COVID (PWLC), which is still a poorly understood disease, often face major issues accessing proper care and frequently feel abandoned by the healthcare system. PWLC frequently report impaired quality of lif…
ObjectiveAs a result of the growing access to the Internet, online medical platforms have gained increased popularity in China. However, which strategies doctors should use to improve their online communication with patients remains underst…
BackgroundThe prevalence of chronic diseases is rising annually due to the aging of the population, and these illnesses constitute a major cause of mortality. Digital therapeutics (DTx) is a promising solution for the prevention and managem…
ObjectiveUnintended pregnancies are a public health problem that represents 48% of global pregnancies. Despite the proliferation of smartphones there is limited data on the app's features on unintended pregnancy. The purpose of this researc…
OBJECTIVE: Endometriosis is a complex full-body inflammation disease with an average time to diagnosis of 7-10 years. Social networks give opportunity to patient to openly discuss about their condition, share experiences, and seek advice. T…
ObjectiveThe term consumer health technologies we use in this paper refers to fitness and health apps, wearables and other self-tracking devices that collect health-related data. Our paper aims to bridge the gap between the growing literatu…
BackgroundThe growing popularity of collecting self-generated health and lifestyle data presents a valuable opportunity to develop our understanding of long-term health conditions and improve care. Barriers remain to the effective sharing o…
ObjectiveMood and physical symptoms related to the menstrual cycle affect women's productivity at work, often leading to absenteeism. However, employer-led initiatives to tackle these issues are lacking. Digital health interventions focused…
ObjectiveImproving use of effective contraception to prevent unintended pregnancy is a global priority, but misperceptions and concerns about contraception are common. Our objective was to evaluate an interactive website to aid informed cho…
There have been several research- and commercial-based mHealth solutions for individuals to monitor and manage their chronic conditions. As such, engagement strategies have been primarily investigated and proposed in the context of promotin…