Deep Learning on Bone Scintigraphy to Detect Abnormal Cardiac Uptake at Risk of Cardiac Amyloidosis.

Autor: Delbarre MA; Department of Internal Medicine, Amiens University Hospital, Amiens, France; Research Unit 7517, Mécanisme physiopathologiques et conséquences des calcifications cardiovasculaires (MP3CV), Jules Verne Picardie University, Amiens, France. Electronic address: https://twitter.com/ma_delbarre., Girardon F; Department of Research and Development, Codoc SAS, Paris, France., Roquette L; Department of Research and Development, Codoc SAS, Paris, France., Blanc-Durand P; Department of Nuclear Medicine, Henri Mondor University Hospital, Assistance-Publique Hôpitaux de Paris (APHP), Créteil, France; Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Mondor de la Recherche Biomédicale (IMRB), Team 8, Université Paris Est Créteil (UPEC), Créteil, France; Institut National de Recherhe en Informatique et en automatique, Epione Team, Sophia Antipolis Epione Team, Sophia Antipolis, France., Hubaut MA; Department of Nuclear Medicine, Roger Salengro Hospital, Lille University Hospital, Lille, France., Hachulla É; Department of Internal Medicine and Clinical Immunology, Referral Centre for Centre for Rare Systemic Autoimmune Diseases North and North-West of France, Centre Hospitalier et Universitaire (University Hospital Center) Lille, Lille, France; University of Lille, Inserm, U1286 Institute for Translational Research in Inflammation, Lille, France., Semah F; Department of Nuclear Medicine, Roger Salengro Hospital, Lille University Hospital, Lille, France., Huglo D; Department of Nuclear Medicine, Claude Huriez Hospital, Lille University Hospital, Lille, France., Garcelon N; Department of Research and Development, Codoc SAS, Paris, France., Marchal E; Nuclear Medicine Department, Amiens University Hospital, Amiens, France., El Esper I; Nuclear Medicine Department, Amiens University Hospital, Amiens, France., Tribouilloy C; Research Unit 7517, Mécanisme physiopathologiques et conséquences des calcifications cardiovasculaires (MP3CV), Jules Verne Picardie University, Amiens, France; Department of Cardiology, Amiens University Hospital, Amiens, France., Lamblin N; Department of Cardiology, Cœur-Poumons Institut, Lille University Hospital, Lille, France; Inserm UMR1167, Institut Pasteur of Lille, Lille, France., Duhaut P; Department of Internal Medicine, Amiens University Hospital, Amiens, France; Research Unit 7517, Mécanisme physiopathologiques et conséquences des calcifications cardiovasculaires (MP3CV), Jules Verne Picardie University, Amiens, France., Schmidt J; Department of Internal Medicine, Amiens University Hospital, Amiens, France; Research Unit 7517, Mécanisme physiopathologiques et conséquences des calcifications cardiovasculaires (MP3CV), Jules Verne Picardie University, Amiens, France., Itti E; Department of Nuclear Medicine, Henri Mondor University Hospital, Assistance-Publique Hôpitaux de Paris (APHP), Créteil, France., Damy T; Department of Cardiology, French Referral Center for Cardiac Amyloidosis, Henri Mondor University Hospital, Assistance-Publique Hôpitaux de Paris (APHP), Créteil, France; InsermUnit U955, Clinical Epidemiology and Ageing, Paris-Est Créteil University, Val-de-Marne, Créteil, France. Electronic address: https://twitter.com/ThibaudDamy.

Publikováno v: JACC. Cardiovascular imaging [JACC Cardiovasc Imaging] 2023 Aug; Vol. 16 (8), pp. 1085-1095. Date of Electronic Publication: 2023 Apr 12.

The prediction of hospital length of stay using unstructured data.

Autor: Chrusciel J; Pôle Territorial Santé Publique et Performance, Centre Hospitalier de Troyes, 101 Avenue Anatole France CS 10718, 10003, Troyes Cedex, France., Girardon F; Research and Consulting, CODOC SAS, 75008, Paris, France., Roquette L; Research and Consulting, CODOC SAS, 75008, Paris, France., Laplanche D; Pôle Territorial Santé Publique et Performance, Centre Hospitalier de Troyes, 101 Avenue Anatole France CS 10718, 10003, Troyes Cedex, France., Duclos A; Research on Healthcare Performance Lab, INSERM U1290 RESHAPE, Université Claude Bernard Lyon 1, Villeurbanne, France.; Health Data Department, Hospices Civils de Lyon, Lyon, France., Sanchez S; Pôle Territorial Santé Publique et Performance, Centre Hospitalier de Troyes, 101 Avenue Anatole France CS 10718, 10003, Troyes Cedex, France. stephane.sanchez@ch-troyes.fr.

Publikováno v: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2021 Dec 18; Vol. 21 (1), pp. 351. Date of Electronic Publication: 2021 Dec 18.

Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data.

Autor: Jaotombo, Franck^1,2 (AUTHOR) jaotombo@em-lyon.com, Adorni, Luca³ (AUTHOR), Ghattas, Badih⁴ (AUTHOR), Boyer, Laurent^2,5 (AUTHOR)

Publikováno v: PLoS ONE. 11/30/2023, Vol. 18 Issue 11, p1-22. 22p.

Determinants of Length of Stay for Medical Inpatients Using Survival Analysis.

Autor: Kim, Jaekyeong, Chang, Haegak, Ryu, Seiyoung, Choi, Ilyoung, Kwon, Angela Eunyoung, Ji, Haeyong

Publikováno v: International Journal of Environmental Research & Public Health; Nov2024, Vol. 21 Issue 11, p1424, 14p

Prevalence of Incidental Findings Suspicious for Transthyretin Cardiac Amyloidosis among Patients Undergoing Bone Scintigraphy: A Systematic Review and a Meta-Analysis.

Autor: Treglia, Giorgio^1,2,3,4 (AUTHOR) giorgio.treglia@eoc.ch, Martinello, Chiara⁵ (AUTHOR), Dondi, Francesco⁶ (AUTHOR), Albano, Domenico⁶ (AUTHOR), Bertagna, Francesco⁶ (AUTHOR), Rizzo, Alessio⁷ (AUTHOR), Delgado Bolton, Roberto C.^8,9 (AUTHOR), Tersalvi, Gregorio^10,11 (AUTHOR), Muoio, Barbara¹² (AUTHOR), Riegger, Martin^2,13 (AUTHOR), Cecchin, Diego¹⁴ (AUTHOR)

Publikováno v: Journal of Clinical Medicine. Sep2023, Vol. 12 Issue 17, p5698. 13p.