Zobrazeno 1 - 10
of 669
pro vyhledávání: '"Guitera P"'
Autor:
James P. Pham, Nicholas Allen, Phoebe Star, Anne Cust, Pascale Guitera, Ashfaq A. Marghoob, John Paoli, Iris Zalaudek, Annika Smith
Publikováno v:
JEADV Clinical Practice, Vol 3, Iss 4, Pp 1132-1139 (2024)
Abstract Background Full‐body skin examination (FSE) is fundamental to the diagnosis of cutaneous malignancy but may not always include concealed site examination (CSE). Objectives To determine the approach of international dermatologists to CSE du
Externí odkaz:
https://doaj.org/article/3ea0fec708a94529ba6ae740c27da8f6
Autor:
Nicholas R. Kurtansky, Brian M. D’Alessandro, Maura C. Gillis, Brigid Betz-Stablein, Sara E. Cerminara, Rafael Garcia, Marcela Alves Girundi, Elisabeth Victoria Goessinger, Philippe Gottfrois, Pascale Guitera, Allan C. Halpern, Valerie Jakrot, Harald Kittler, Kivanc Kose, Konstantinos Liopyris, Josep Malvehy, Victoria J. Mar, Linda K. Martin, Thomas Mathew, Lara Valeska Maul, Adam Mothershaw, Alina M. Mueller, Christoph Mueller, Alexander A. Navarini, Tarlia Rajeswaran, Vin Rajeswaran, Anup Saha, Maithili Sashindranath, Laura Serra-García, H. Peter Soyer, Georgios Theocharis, Ayesha Vos, Jochen Weber, Veronica Rotemberg
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public skin cancer image datasets are comprised of dermoscopic photos and are limited by selection bias, lack of standardization, and
Externí odkaz:
https://doaj.org/article/5622b491e13d4ffc9f4616a4f3f518b9
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/3096b36d1b454d9e886786e231e7b6e1
Autor:
Rotemberg, Veronica, Kurtansky, Nicholas, Betz-Stablein, Brigid, Caffery, Liam, Chousakos, Emmanouil, Codella, Noel, Combalia, Marc, Dusza, Stephen, Guitera, Pascale, Gutman, David, Halpern, Allan, Kittler, Harald, Kose, Kivanc, Langer, Steve, Lioprys, Konstantinos, Malvehy, Josep, Musthaq, Shenara, Nanda, Jabpani, Reiter, Ofer, Shih, George, Stratigos, Alexander, Tschandl, Philipp, Weber, Jochen, Soyer, H. Peter
Prior skin image datasets have not addressed patient-level information obtained from multiple skin lesions from the same patient. Though artificial intelligence classification algorithms have achieved expert-level performance in controlled studies ex
Externí odkaz:
http://arxiv.org/abs/2008.07360
Akademický článek
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Akademický článek
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Akademický článek
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Autor:
Mabel K. Yan, Anne E. Cust, H. Peter Soyer, Monika Janda, Katja Loewe, Gabrielle Byars, Paul Fishburn, Paul White, Rashidul Alam Mahumud, Robyn P. M. Saw, Alan Herschtal, Pablo Fernandez-Penas, Pascale Guitera, Rachael L. Morton, John Kelly, Rory Wolfe, Victoria J. Mar
Publikováno v:
Trials, Vol 24, Iss 1, Pp 1-14 (2023)
Abstract Introduction Melanoma surveillance photography (MSP) is a comprehensive surveillance method that comprises two- or three-dimensional total body photography with tagged digital dermoscopy, performed at prescribed intervals. It has the potenti
Externí odkaz:
https://doaj.org/article/05de719d33bc4313bca6ead3b0387958
Autor:
Scott W Menzies, ProfPhD, Christoph Sinz, MD, Michelle Menzies, BSc, Serigne N Lo, PhD, William Yolland, BSc, Johann Lingohr, BSc, Majid Razmara, PhD, Philipp Tschandl, PhD, Pascale Guitera, ProfPhD, Richard A Scolyer, ProfMD, Florentina Boltz, MD, Liliane Borik-Heil, MD, Hsien Herbert Chan, MD, David Chromy, MD, David J Coker, MD, Helena Collgros, MD, Maryam Eghtedari, MD, Marina Corral Forteza, MD, Emily Forward, MD, Bruna Gallo, MD, Stephanie Geisler, MD, Matthew Gibson, MMed, Amelie Hampel, MD, Genevieve Ho, MD, Laura Junez, MD, Philipp Kienzl, PhD, Arthur Martin, MD, Fergal J Moloney, MD, Amanda Regio Pereira, MD, Julia Maria Ressler, MD, Susanne Richter, MD, Katharina Silic, MD, Thomas Silly, MD, Michael Skoll, MD, Julia Tittes, MD, Philipp Weber, MD, Wolfgang Weninger, ProfPhD, Doris Weiss, MD, Ping Woo-Sampson, MD, Catherine Zilberg, MD, Harald Kittler, MD
Publikováno v:
The Lancet: Digital Health, Vol 5, Iss 10, Pp e679-e691 (2023)
Summary: Background: Diagnosis of skin cancer requires medical expertise, which is scarce. Mobile phone-powered artificial intelligence (AI) could aid diagnosis, but it is unclear how this technology performs in a clinical scenario. Our primary aim w
Externí odkaz:
https://doaj.org/article/bb536ef03af64214ad529982414e2889
Autor:
Niels K. Ternov, Anders N. Christensen, Peter J. T. Kampen, Gustav Als, Tine Vestergaard, Lars Konge, Martin Tolsgaard, Lisbet R. Hölmich, Pascale Guitera, Annette H. Chakera, Morten R. Hannemose
Publikováno v:
JEADV Clinical Practice, Vol 1, Iss 4, Pp 344-354 (2022)
Abstract Background Artificial intelligence can be trained to outperform dermatologists in image‐based skin cancer diagnostics. However, the networks' sensitivity to biases and overfitting may hamper their clinical applicability. Objectives The aim
Externí odkaz:
https://doaj.org/article/ba5155ff6442483daa8fc4d02b0d98b6