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The development of an artificial intelligence-based digital pathology for neglected tropical diseases : a platform specific analysis of the World Health Organization diagnostic target product profile for soil-transmitted helminthiasis

Peter Ward (UGent) , Lindsay A. Broadfield, Peter Dahlberg, Gemechu Leta, Zeleke Mekonnen, Betty Nabatte, Narcis Kabatereine, Alan Brooks, Kristina M. Orrling, Mireille Gomes, et al.
(2022) FRONTIERS IN TROPICAL DISEASES. 3.
Author
Organization
Abstract
The World Health Organization (WHO) recently published target product profiles (TPPs) for neglected tropical diseases (NTDs) to inform and accelerate the development of diagnostics tools necessary to achieve targets in the decade ahead. These TPPs describe the minimal and ideal requirements for various diagnostic needs related to NTD specific use-cases. An early step towards the manufacture and implementation of new diagnostics is to critically review the TPPs and translate these into an initial design and ultimately into <jats:italic>user requirement specifications</jats:italic> (URS). Artificial intelligence-based digital pathology (AI-DP) may overcome critical shortcomings of current standards for most NTDs reliant on microscopy, such as poor reproducibility and error-prone manual read-out. Furthermore, a digitalised workflow can create opportunities to reduce operational costs <jats:italic>via</jats:italic> increased throughput and automated data capture, analysis, and reporting. Despite these promising benefits, a critical review of the NTD TPPs with consideration to an AI-DP diagnostic solution is lacking. We present a systematic analysis of one of the WHO TPPs with the aim to inform the development of a URS for an AI-DP solution for NTDs. As a case study we focused on monitoring and evaluation (M&amp;amp;E) of programs designed to control soil-transmitted helminths (STHs). To this end, we start by outlining a brief overview of diagnostic needs for STHs, after which we systematically analyse the recently published WHO TPPs, highlighting the technical considerations for an AI-DP diagnostic solution to meet the minimal requirements for this TPP. Finally, we further reflect on the feasibility of an AI-DP informing STH programs towards the WHO 2030 targets in due time.
Keywords
General Medicine

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MLA
Ward, Peter, et al. “The Development of an Artificial Intelligence-Based Digital Pathology for Neglected Tropical Diseases : A Platform Specific Analysis of the World Health Organization Diagnostic Target Product Profile for Soil-Transmitted Helminthiasis.” FRONTIERS IN TROPICAL DISEASES, vol. 3, 2022, doi:10.3389/fitd.2022.990304.
APA
Ward, P., Broadfield, L. A., Dahlberg, P., Leta, G., Mekonnen, Z., Nabatte, B., … Stuyver, L. J. (2022). The development of an artificial intelligence-based digital pathology for neglected tropical diseases : a platform specific analysis of the World Health Organization diagnostic target product profile for soil-transmitted helminthiasis. FRONTIERS IN TROPICAL DISEASES, 3. https://doi.org/10.3389/fitd.2022.990304
Chicago author-date
Ward, Peter, Lindsay A. Broadfield, Peter Dahlberg, Gemechu Leta, Zeleke Mekonnen, Betty Nabatte, Narcis Kabatereine, et al. 2022. “The Development of an Artificial Intelligence-Based Digital Pathology for Neglected Tropical Diseases : A Platform Specific Analysis of the World Health Organization Diagnostic Target Product Profile for Soil-Transmitted Helminthiasis.” FRONTIERS IN TROPICAL DISEASES 3. https://doi.org/10.3389/fitd.2022.990304.
Chicago author-date (all authors)
Ward, Peter, Lindsay A. Broadfield, Peter Dahlberg, Gemechu Leta, Zeleke Mekonnen, Betty Nabatte, Narcis Kabatereine, Alan Brooks, Kristina M. Orrling, Mireille Gomes, Sofie Van Hoecke, Bruno Levecke, and Lieven J. Stuyver. 2022. “The Development of an Artificial Intelligence-Based Digital Pathology for Neglected Tropical Diseases : A Platform Specific Analysis of the World Health Organization Diagnostic Target Product Profile for Soil-Transmitted Helminthiasis.” FRONTIERS IN TROPICAL DISEASES 3. doi:10.3389/fitd.2022.990304.
Vancouver
1.
Ward P, Broadfield LA, Dahlberg P, Leta G, Mekonnen Z, Nabatte B, et al. The development of an artificial intelligence-based digital pathology for neglected tropical diseases : a platform specific analysis of the World Health Organization diagnostic target product profile for soil-transmitted helminthiasis. FRONTIERS IN TROPICAL DISEASES. 2022;3.
IEEE
[1]
P. Ward et al., “The development of an artificial intelligence-based digital pathology for neglected tropical diseases : a platform specific analysis of the World Health Organization diagnostic target product profile for soil-transmitted helminthiasis,” FRONTIERS IN TROPICAL DISEASES, vol. 3, 2022.
@article{01GY9WHCCHHWTP1B53H6QWBRHZ,
  abstract     = {{The World Health Organization (WHO) recently published target product profiles (TPPs) for neglected tropical diseases (NTDs) to inform and accelerate the development of diagnostics tools necessary to achieve targets in the decade ahead. These TPPs describe the minimal and ideal requirements for various diagnostic needs related to NTD specific use-cases. An early step towards the manufacture and implementation of new diagnostics is to critically review the TPPs and translate these into an initial design and ultimately into <jats:italic>user requirement specifications</jats:italic> (URS). Artificial intelligence-based digital pathology (AI-DP) may overcome critical shortcomings of current standards for most NTDs reliant on microscopy, such as poor reproducibility and error-prone manual read-out. Furthermore, a digitalised workflow can create opportunities to reduce operational costs <jats:italic>via</jats:italic> increased throughput and automated data capture, analysis, and reporting. Despite these promising benefits, a critical review of the NTD TPPs with consideration to an AI-DP diagnostic solution is lacking. We present a systematic analysis of one of the WHO TPPs with the aim to inform the development of a URS for an AI-DP solution for NTDs. As a case study we focused on monitoring and evaluation (M&amp;amp;E) of programs designed to control soil-transmitted helminths (STHs). To this end, we start by outlining a brief overview of diagnostic needs for STHs, after which we systematically analyse the recently published WHO TPPs, highlighting the technical considerations for an AI-DP diagnostic solution to meet the minimal requirements for this TPP. Finally, we further reflect on the feasibility of an AI-DP informing STH programs towards the WHO 2030 targets in due time.}},
  articleno    = {{990304}},
  author       = {{Ward, Peter and Broadfield, Lindsay A. and Dahlberg, Peter and Leta, Gemechu and Mekonnen, Zeleke and Nabatte, Betty and Kabatereine, Narcis and Brooks, Alan and Orrling, Kristina M. and Gomes, Mireille and Van Hoecke, Sofie and Levecke, Bruno and Stuyver, Lieven J.}},
  issn         = {{2673-7515}},
  journal      = {{FRONTIERS IN TROPICAL DISEASES}},
  keywords     = {{General Medicine}},
  language     = {{eng}},
  pages        = {{13}},
  title        = {{The development of an artificial intelligence-based digital pathology for neglected tropical diseases : a platform specific analysis of the World Health Organization diagnostic target product profile for soil-transmitted helminthiasis}},
  url          = {{http://doi.org/10.3389/fitd.2022.990304}},
  volume       = {{3}},
  year         = {{2022}},
}
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