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Darren Treanor

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Articles 108
Citations 1394
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Recent Articles
1.
Alderman J, Palmer J, Laws E, McCradden M, Ordish J, Ghassemi M, et al.
Lancet Digit Health . 2024 Dec; 7(1):e64-e88. PMID: 39701919
Without careful dissection of the ways in which biases can be encoded into artificial intelligence (AI) health technologies, there is a risk of perpetuating existing health inequalities at scale. One...
2.
Clarke E, Magee D, Newton-Bishop J, Merchant W, Insall R, Maher N, et al.
Arch Pathol Lab Med . 2024 Dec; PMID: 39663822
Context.—: The current melanoma staging system does not account for 26% of the variance seen in melanoma-specific survival, therefore our ability to predict patient outcome is not fully elucidated. Morphology...
3.
Broad A, Wright A, McGenity C, Treanor D, de Kamps M
Sci Rep . 2024 Dec; 14(1):30400. PMID: 39638839
Human visual attention allows prior knowledge or expectations to influence visual processing, allocating limited computational resources to only that part of the image that are likely to behaviourally important. Here,...
4.
Laws E, Palmer J, Alderman J, Sharma O, Ngai V, Salisbury T, et al.
Clin Imaging . 2024 Dec; 118():110369. PMID: 39616879
Purpose: There are many radiological datasets for breast cancer, some which have supported the development of AI medical devices for breast cancer screening and image classification. This review aims to...
5.
Hutchinson J, Picarsic J, McGenity C, Treanor D, Williams B, Sebire N
Pediatr Dev Pathol . 2024 Nov; :10935266241299073. PMID: 39552500
The integration of artificial intelligence (AI) into healthcare is becoming increasingly mainstream. Leveraging digital technologies, such as AI and deep learning, impacts researchers, clinicians, and industry due to promising performance...
6.
Matthews G, McGenity C, Bansal D, Treanor D
NPJ Digit Med . 2024 Oct; 7(1):300. PMID: 39455883
Novel products applying artificial intelligence (AI)-based methods to digital pathology images are touted to have many uses and benefits. However, publicly available information for products can be variable, with few...
7.
Humphries M, Kaye D, Stankeviciute G, Halliwell J, Wright A, Bansal D, et al.
J Pathol . 2024 Jul; 264(1):80-89. PMID: 38984400
Whole slide imaging (WSI) of pathology glass slides using high-resolution scanners has enabled the large-scale application of artificial intelligence (AI) in pathology, to support the detection and diagnosis of disease,...
8.
Jennings C, Treanor D, Brettle D
J Pathol Inform . 2024 Jun; 15:100379. PMID: 38846642
Background: Currently, there is a paucity of guidelines relating to displays used for digital pathology making procurement decisions, and optimal display configuration, challenging.Experience suggests pathologists have personal preferences for brightness...
9.
McGenity C, Clarke E, Jennings C, Matthews G, Cartlidge C, Freduah-Agyemang H, et al.
NPJ Digit Med . 2024 May; 7(1):114. PMID: 38704465
Ensuring diagnostic performance of artificial intelligence (AI) before introduction into clinical practice is essential. Growing numbers of studies using AI for digital pathology have been reported over recent years. The...
10.
Dunn C, Brettle D, Cockroft M, Keating E, Revie C, Treanor D
Diagn Pathol . 2024 Feb; 19(1):42. PMID: 38395890
Background: Staining tissue samples to visualise cellular detail and tissue structure is at the core of pathology diagnosis, but variations in staining can result in significantly different appearances of the...