SLIDE (Wellington): vulnerability of dwellings to landslides (Project No. 16/SP740)

Autor: Massey, Chris I., Thomas, Kristie-Lee, King, Andrew B., Singeisen, C, Taig, T, Horspool, Nick A.

The aim of this research was to quantify the vulnerability of people and dwellings to the types of landslide hazards affecting Wellington and other parts of New Zealand. This research comprised two main objectives: 1. Investigate what landslide inten

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The utility and reliability of a deep learning algorithm as a diagnosis support tool in head & neck non-melanoma skin malignancies.

Autor: Medela A; Medical Data Science, Legit.Health, Bilbao, Spain., Sabater A; Medical Data Science, Legit.Health, Bilbao, Spain., Montilla IH; Medical Data Science, Legit.Health, Bilbao, Spain., MacCarthy T; Clinical Endpoint Innovation, Legit.Health, Bilbao, Spain., Aguilar A; Clinical Endpoint Innovation, Legit.Health, Bilbao, Spain., Chiesa-Estomba CM; Department of Otorhinolaryngology-Head & Neck Surgery, Osakidetza, Donostia University Hospital, San Sebastian, 20014, Spain. chiesaestomba86@gmail.com.; Bioguipuzkoa Health Research Institute, San Sebastian, 20014, Spain. chiesaestomba86@gmail.com.; Faculty of Medicine, Deusto University, Bilbao, Spain. chiesaestomba86@gmail.com.; Servicio de Otorrinolaringología - Cirugía de Cabeza y Cuello, Hospital Universitario Donostia, Paseo Dr. Begiristain #1. CP, San Sebastian- Donosti, 20014, España. chiesaestomba86@gmail.com.

Publikováno v: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery [Eur Arch Otorhinolaryngol] 2024 Sep 06. Date of Electronic Publication: 2024 Sep 06.

Automatic International Hidradenitis Suppurativa Severity Score System (AIHS4): A novel tool to assess the severity of hidradenitis suppurativa using artificial intelligence.

Autor: Hernández Montilla I; Department of Medical Computer Vision and PROMs, LEGIT.HEALTH, Bilbao, Spain., Medela A; Department of Medical Computer Vision and PROMs, LEGIT.HEALTH, Bilbao, Spain., Mac Carthy T; Department of Clinical Endpoint Innovation, LEGIT.HEALTH, Bilbao, Spain., Aguilar A; Department of Clinical Endpoint Innovation, LEGIT.HEALTH, Bilbao, Spain., Gómez Tejerina P; Department of Medical Computer Vision and PROMs, LEGIT.HEALTH, Bilbao, Spain., Vilas Sueiro A; Dermatology Unit, Ferrol Teaching University Hospital Complex, Ferrol, Spain., González Pérez AM; Dermatology Unit, Salamanca Teaching University Hospital, Zamora, Spain., Vergara de la Campa L; Dermatology Unit, Toledo Teaching University Hospital Complex, Toledo, Spain., Luna Bastante L; Dermatology Unit, Rey Juan Carlos Teaching University Hospital, Madrid, Spain., García Castro R; Dermatology Unit, Fundacion Jiménez Díaz Teaching University Hospital, Madrid, Spain., Alfageme Roldán F; Dermatology Unit, Puerta de Hierro Hospital, Madrid, Spain.

Publikováno v: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) [Skin Res Technol] 2023 Jun; Vol. 29 (6), pp. e13357.

Automatic SCOring of Atopic Dermatitis Using Deep Learning: A Pilot Study.

Autor: Medela A; Department of Medical Computer Vision and PROMs, Legit.Health, Bilbao, Spain., Mac Carthy T; Department of Clinical Endpoint Innovation, Legit.Health, Bilbao, Spain., Aguilar Robles SA; Department of Medical Computer Vision and PROMs, Legit.Health, Bilbao, Spain., Chiesa-Estomba CM; Department of Otorhinolaryngology, Osakidetza Donostia University Hospital, San Sebastian, Spain.; Biodonostia Health Research Institute, San Sebastian, Spain., Grimalt R; Faculty of Medicine and Health Sciences, UIC Barcelona, International University of Catalonia, Barcelona, Spain.

Publikováno v: JID innovations : skin science from molecules to population health [JID Innov] 2022 Feb 11; Vol. 2 (3), pp. 100107. Date of Electronic Publication: 2022 Feb 11 (Print Publication: 2022).