All Outputs (3)

Accuracy and utility of blood and urine biomarkers for the noninvasive diagnosis of endometriosis: a systematic literature review and meta-analysis (2022)
Journal Article
Dolińska, W., Draper, H., Othman, L., Thompson, C., Girvan, S., Cunningham, K., …Guinn, B. A. (2023). Accuracy and utility of blood and urine biomarkers for the noninvasive diagnosis of endometriosis: a systematic literature review and meta-analysis. F&S Reviews, 4(2), 116-130. https://doi.org/10.1016/j.xfnr.2022.12.001

Objective: Endometriosis is a chronic, incurable condition associated with debilitating pain and subfertility affecting over 190 million women worldwide, which has no reliable noninvasive diagnostic tool. We aimed to determine the state-of-the-art in... Read More about Accuracy and utility of blood and urine biomarkers for the noninvasive diagnosis of endometriosis: a systematic literature review and meta-analysis.

Embedding new technology into clinical ultrasound practice: Is role extension for sonographers the key to improving patient pathways? (2022)
Journal Article
Parker, P., Edwards, H., Twiddy, M., Whybrow, P., & Rigby, A. (2022). Embedding new technology into clinical ultrasound practice: Is role extension for sonographers the key to improving patient pathways?. Ultrasound, 31(2), 84-90. https://doi.org/10.1177/1742271X221139210

Introduction: MicroUS is a new imaging technique that may have potential to reliably monitor prostate disease and therefore release capacity in MRI departments. Firstly, however, it is essential to identify which healthcare staff may be suitable to l... Read More about Embedding new technology into clinical ultrasound practice: Is role extension for sonographers the key to improving patient pathways?.

Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure (2022)
Journal Article
Kazmi, S., Kambhampati, C., Cleland, J., Cuthbert, J., Kazmi, K. S., Pellicori, P., …Clark, A. L. (2022). Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure. ESC Heart Failure, https://doi.org/10.1002/ehf2.14028

Aims: Risk changes with the progression of disease and the impact of treatment. We developed a dynamic risk stratification Markov chain model using artificial intelligence in patients with chronic heart failure (CHF). Methods and results: We describe... Read More about Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure.