iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope
Malaria is one of the most prevalent infectious diseases in sub-Saharan Africa, with 247 million cases reported worldwide in 2021 according to the World Health Organization. Optical microscopy remains the gold standard technique for malaria diagnosis, however, it requires expertise, is time-consumin...
| Autores: | , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/404932 |
| Acceso en línea: | https://hdl.handle.net/2117/404932 https://dx.doi.org/10.3389/fmicb.2023.1240936 |
| Access Level: | acceso abierto |
| Palabra clave: | Malaria -- Diagnosis Diagnostic Imaging--methods Artificial intelligence Medical technology Malària Diagnòstic per microscòpia Intel·ligència artificial Cooperació per al desenvolupament Intel·ligència artificial--Aplicacions a la medicina Malària--Diagnòstic Microscòpia Àrees temàtiques de la UPC::Ciències de la salut |
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iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscopeRubio Maturana, Carles|||0000-0002-5615-9278Oliveira, Allisson Dantas de|||0000-0002-8267-9760Nadal Francesch, Sergi|||0000-0002-8565-952XZarzuela Serrat, FrancescSulleiro Igual, ElenaRuiz Marti, EdurneBilalli, Besim|||0000-0002-0575-2389Veiga Lluch, AnnaEspasa Soley, MateuAbelló Gamazo, Alberto|||0000-0002-3223-2186Pumarola Sunyer, TomasSegu Estruch, MartaLópez Codina, Daniel|||0000-0002-0408-4526Sayrol Clos, ElisaJoseph Munné, JoanMalaria -- DiagnosisDiagnostic Imaging--methodsArtificial intelligenceMedical technologyMalàriaDiagnòstic per microscòpiaIntel·ligència artificialCooperació per al desenvolupamentIntel·ligència artificial--Aplicacions a la medicinaMalària--DiagnòsticMicroscòpiaÀrees temàtiques de la UPC::Ciències de la salutMalaria is one of the most prevalent infectious diseases in sub-Saharan Africa, with 247 million cases reported worldwide in 2021 according to the World Health Organization. Optical microscopy remains the gold standard technique for malaria diagnosis, however, it requires expertise, is time-consuming and difficult to reproduce. Therefore, new diagnostic techniques based on digital image analysis using artificial intelligence tools can improve diagnosis and help automate it. The coalescence of the fully-automated system via auto-focus and slide movements and the autonomous detection of Plasmodium parasites in digital images with a smartphone software and AI algorithms confers the prototype the optimal features to join the global effort against malaria, neglected tropical diseases and other infectious diseases.The project is funded by the Microbiology Department of Vall d’Hebron University Hospital, the Cooperation Centre of the Universitat Politècnica de Catalunya (CCD-UPC), and the Probitas Foundation.Peer ReviewedObjectius de Desenvolupament Sostenible::3 - Salut i BenestarObjectius de Desenvolupament Sostenible::3 - Salut i Benestar::3.3 - Per a 2030, posar fi a les epidèmies de la sida, tuberculosi, malària i les malalties tropicals desateses, i combatre l’hepatitis, les malalties transmeses per l’aigua i altres malalties transmissiblesFrontiers Media SA20232023-11-2420242024-03-19journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/404932https://dx.doi.org/10.3389/fmicb.2023.1240936reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4049322026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope |
| title |
iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope |
| spellingShingle |
iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope Rubio Maturana, Carles|||0000-0002-5615-9278 Malaria -- Diagnosis Diagnostic Imaging--methods Artificial intelligence Medical technology Malària Diagnòstic per microscòpia Intel·ligència artificial Cooperació per al desenvolupament Intel·ligència artificial--Aplicacions a la medicina Malària--Diagnòstic Microscòpia Àrees temàtiques de la UPC::Ciències de la salut |
| title_short |
iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope |
| title_full |
iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope |
| title_fullStr |
iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope |
| title_full_unstemmed |
iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope |
| title_sort |
iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope |
| dc.creator.none.fl_str_mv |
Rubio Maturana, Carles|||0000-0002-5615-9278 Oliveira, Allisson Dantas de|||0000-0002-8267-9760 Nadal Francesch, Sergi|||0000-0002-8565-952X Zarzuela Serrat, Francesc Sulleiro Igual, Elena Ruiz Marti, Edurne Bilalli, Besim|||0000-0002-0575-2389 Veiga Lluch, Anna Espasa Soley, Mateu Abelló Gamazo, Alberto|||0000-0002-3223-2186 Pumarola Sunyer, Tomas Segu Estruch, Marta López Codina, Daniel|||0000-0002-0408-4526 Sayrol Clos, Elisa Joseph Munné, Joan |
| author |
Rubio Maturana, Carles|||0000-0002-5615-9278 |
| author_facet |
Rubio Maturana, Carles|||0000-0002-5615-9278 Oliveira, Allisson Dantas de|||0000-0002-8267-9760 Nadal Francesch, Sergi|||0000-0002-8565-952X Zarzuela Serrat, Francesc Sulleiro Igual, Elena Ruiz Marti, Edurne Bilalli, Besim|||0000-0002-0575-2389 Veiga Lluch, Anna Espasa Soley, Mateu Abelló Gamazo, Alberto|||0000-0002-3223-2186 Pumarola Sunyer, Tomas Segu Estruch, Marta López Codina, Daniel|||0000-0002-0408-4526 Sayrol Clos, Elisa Joseph Munné, Joan |
| author_role |
author |
| author2 |
Oliveira, Allisson Dantas de|||0000-0002-8267-9760 Nadal Francesch, Sergi|||0000-0002-8565-952X Zarzuela Serrat, Francesc Sulleiro Igual, Elena Ruiz Marti, Edurne Bilalli, Besim|||0000-0002-0575-2389 Veiga Lluch, Anna Espasa Soley, Mateu Abelló Gamazo, Alberto|||0000-0002-3223-2186 Pumarola Sunyer, Tomas Segu Estruch, Marta López Codina, Daniel|||0000-0002-0408-4526 Sayrol Clos, Elisa Joseph Munné, Joan |
| author2_role |
author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Malaria -- Diagnosis Diagnostic Imaging--methods Artificial intelligence Medical technology Malària Diagnòstic per microscòpia Intel·ligència artificial Cooperació per al desenvolupament Intel·ligència artificial--Aplicacions a la medicina Malària--Diagnòstic Microscòpia Àrees temàtiques de la UPC::Ciències de la salut |
| topic |
Malaria -- Diagnosis Diagnostic Imaging--methods Artificial intelligence Medical technology Malària Diagnòstic per microscòpia Intel·ligència artificial Cooperació per al desenvolupament Intel·ligència artificial--Aplicacions a la medicina Malària--Diagnòstic Microscòpia Àrees temàtiques de la UPC::Ciències de la salut |
| description |
Malaria is one of the most prevalent infectious diseases in sub-Saharan Africa, with 247 million cases reported worldwide in 2021 according to the World Health Organization. Optical microscopy remains the gold standard technique for malaria diagnosis, however, it requires expertise, is time-consuming and difficult to reproduce. Therefore, new diagnostic techniques based on digital image analysis using artificial intelligence tools can improve diagnosis and help automate it. The coalescence of the fully-automated system via auto-focus and slide movements and the autonomous detection of Plasmodium parasites in digital images with a smartphone software and AI algorithms confers the prototype the optimal features to join the global effort against malaria, neglected tropical diseases and other infectious diseases. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023 2023-11-24 2024 2024-03-19 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/404932 https://dx.doi.org/10.3389/fmicb.2023.1240936 |
| url |
https://hdl.handle.net/2117/404932 https://dx.doi.org/10.3389/fmicb.2023.1240936 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Frontiers Media SA |
| publisher.none.fl_str_mv |
Frontiers Media SA |
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reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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Universitat Politècnica de Catalunya (UPC) |
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UPCommons. Portal del coneixement obert de la UPC |
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UPCommons. Portal del coneixement obert de la UPC |
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15,300719 |