Enhancing clinical practice: the Endoscore app for automated surgical data capture and endometriosis scoring.
There is a growing unmet need to digitalise the management of clinical data in medicine. Web-based scoring applications for endometriosis align with this trend.
Co-designing, evaluating and implementing online supportive care for endometriosis in Australia: study protocol for the hybrid type 1 effectiveness, cost-effectiveness and implementation randomised controlled trial of the CodeEndo program.
Endometriosis is a chronic condition affecting up to 11% of people presumed female at birth by the age of 44 years, characterised by the growth of tissue similar to the …
HeraNorm: an R shiny application for identifying optimal endogenous controls for miRNA and RNA assays in qPCR and ddPCR.
Normalization is a critical step in quantitative PCR (qPCR) and droplet digital PCR (ddPCR) experiments to ensure accurate and reproducible gene expression analysis. However, commonly used endogenous controls such as …
Feasibility, acceptability, and exploratory outcomes of a virtual cognitive behavioural therapy-based group intervention for persistent fatigue in endometriosis: The Managing Fatigue in Endometriosis (MEND) programme.
This study developed and assessed the feasibility, acceptability, and exploratory outcomes of a six-session cognitive behavioural therapy (CBT)-based intervention for endometriosis-related persistent fatigue, called Managing Fatigue in Endometriosis (MEND).
Artificial intelligence in endometriosis care: A comparative analysis of large language model and human specialist responses to endometriosis-related queries.
Many women with endometriosis turn to digital sources for information. Meanwhile, large language models (LLMs) appear capable of offering health advice. This study aimed to evaluate the potential in answering …