Steven Knox

No ORCID on file · 13 papers in corpus · active 2017-2026

Study types

  • article 7
  • other 2
  • review 2
  • book-chapter 1
  • preprint 1

Condition tags

  • endometriosis 13
  • mesh:D004715 6
  • die_deep_infiltrating 1
  • adenomyosis 1
book-chapter 2026
·doi:10.1201/9781003394068-7
other 2026
Human Reproduction ·doi:10.1093/humrep/deag024

Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometriosis, AI has significant potential to improve the breadth and accuracy of diagnostic servi…

article 2025
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society ·doi:10.1016/j.compmedimag.2025.102575
article 2024
·doi:10.1002/sono.12402

Abstract Diagnosis of endometriosis has traditionally relied on laparoscopic surgery, which was considered the ‘gold standard’ diagnostic tool. This is not ideal as surgery carries risk, is expensive, is difficult to access, and disrupts pa…

other 2024
Physics in medicine and biology ·doi:10.1088/1361-6560/ad997e

Objective.Endometriosis, affecting about 10% of individuals assigned female at birth, is challenging to diagnose and manage. Diagnosis typically involves the identification of various signs of the disease using either laparoscopic surgery o…

preprint 2024
·doi:10.48550/arxiv.2409.02046

Endometriosis, affecting about 10% of individuals assigned female at birth, is challenging to diagnose and manage. Diagnosis typically involves the identification of various signs of the disease using either laparoscopic surgery or the anal…

article 2024
·doi:10.1093/humrep/deae108.656

Abstract Study question Can we improve the diagnostic accuracy of the detection of POD obliteration in endometriosis magnetic resonance imaging, by leveraging results from unpaired eTVUS data sets? Summary answer We illustrate effective mul…

article 2023
·doi:10.1142/s2661318223742856

Background and Aims: Currently, it takes an average of 6.4 years to obtain a diagnosis for endometriosis. To address this delay, the IMAGENDO project combines ultrasounds (eTVUS) and Magnetic Resonance Images (eMRI) using Artificial Intelli…

review 2023
Fertility and sterility ·doi:10.1016/j.fertnstert.2023.12.017
article 2023
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference ·doi:10.1109/embc40787.2023.10340504

Endometriosis is a debilitating condition affecting 5% to 10% of the women worldwide, where early detection and treatment are the best tools to manage the condition. Early detection can be done via surgery, but multi-modal medical imaging i…

article 2023
·doi:10.1142/s2661318223740249

MRI is a non-invasive second line tool which can make a valuable contribution to the diagnosis and pre surgical mapping of pelvic endometriosis. It is validated and serves as an adjunct to high quality ultrasound. It has particular strength…

article 2018
Journal of medical imaging and radiation oncology ·doi:10.1111/1754-9485.12760

INTRODUCTION: Pelvic MRI has an increasingly important role in the evaluation of non-malignant uterine pathology including uterine leiomyomas, adenomyosis and endometriosis. Normal physiological myometrial junctional zone transient contract…

review 2017
Journal of medical imaging and radiation oncology ·doi:10.1111/1754-9485.12680

Endometriosis is an important gynaecological disorder which can impact significantly on an individual's quality of life and has major implications on fertility. Deep infiltrating endometriosis is a severe form of endometriosis which can cau…