Quality Assessment of Brain MRI Defacing Using Machine Learning.

Autor: Sadeghi S; Department for Medical Data Science, Leipzig University Medical Center, Leipzig, Germany.; Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany., Khodaei M; Department for Medical Data Science, Leipzig University Medical Center, Leipzig, Germany.; Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany., Hempel L; Department for Medical Data Science, Leipzig University Medical Center, Leipzig, Germany.; Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany.; Faculty Applied Computer and Bio Sciences, Mittweida University of Applied Sciences, Mittweida, Germany., Kirsten T; Department for Medical Data Science, Leipzig University Medical Center, Leipzig, Germany.; Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany.; Faculty Applied Computer and Bio Sciences, Mittweida University of Applied Sciences, Mittweida, Germany.

Publikováno v: Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 636-637.

Exploring the tradeoff between data privacy and utility with a clinical data analysis use case.

Autor: Im E; College of Nursing, Seoul National University, Seoul, South Korea.; Center for World-leading Human-care Nurse Leaders for the Future by Brain Korea 21 (BK 21) four project, College of Nursing, Seoul National University, Seoul, South Korea., Kim H; College of Nursing, Seoul National University, Seoul, South Korea. ifilgood@snu.ac.kr.; Center for World-leading Human-care Nurse Leaders for the Future by Brain Korea 21 (BK 21) four project, College of Nursing, Seoul National University, Seoul, South Korea. ifilgood@snu.ac.kr.; The Research Institute of Nursing Science, Seoul National University, Seoul, South Korea. ifilgood@snu.ac.kr., Lee H; College of Nursing, Seoul National University, Seoul, South Korea.; Seoul National University Hospital, Seoul, South Korea., Jiang X; School of Biomedical Informatics, UTHealth, Houston, TX, USA., Kim JH; Seoul National University Hospital, Seoul, South Korea.; College of Medicine, Seoul National University, Seoul, South Korea.

Publikováno v: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 May 30; Vol. 24 (1), pp. 147. Date of Electronic Publication: 2024 May 30.

PICOTEES: a privacy-preserving online service of phenotype exploration for genetic-diagnostic variants from Chinese children cohorts.

Autor: Dong X; Center for Molecular Medicine, Children's Hospital of Fudan University, Shanghai 201102, China; Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Shanghai 201102, China., Lu Y; Center for Molecular Medicine, Children's Hospital of Fudan University, Shanghai 201102, China; Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Shanghai 201102, China., Guo L; Department of Bioinformatics, Hangzhou Nuowei Information Technology Co., Ltd, Hangzhou, Zhejiang 310000, China., Li C; Center for Molecular Medicine, Children's Hospital of Fudan University, Shanghai 201102, China., Ni Q; Center for Molecular Medicine, Children's Hospital of Fudan University, Shanghai 201102, China; Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Shanghai 201102, China., Wu B; Center for Molecular Medicine, Children's Hospital of Fudan University, Shanghai 201102, China; Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Shanghai 201102, China., Wang H; Center for Molecular Medicine, Children's Hospital of Fudan University, Shanghai 201102, China; Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Shanghai 201102, China., Yang L; Center for Molecular Medicine, Children's Hospital of Fudan University, Shanghai 201102, China; Key Laboratory of Birth Defects, Children's Hospital of Fudan University, Shanghai 201102, China., Wu S; The Third Research Institute of the Ministry of Public Security, Shanghai 200031, China., Sun Q; Department of Bioinformatics, Hangzhou Nuowei Information Technology Co., Ltd, Hangzhou, Zhejiang 310000, China., Zheng H; Department of Bioinformatics, Hangzhou Nuowei Information Technology Co., Ltd, Hangzhou, Zhejiang 310000, China., Zhou W; Center for Molecular Medicine, Children's Hospital of Fudan University, Shanghai 201102, China; Xiamen Campus of Children's Hospital of Fudan University, Xiamen, Fujian 361006, China. Electronic address: zhouwenhao@fudan.edu.cn., Wang S; Department of Bioinformatics, Hangzhou Nuowei Information Technology Co., Ltd, Hangzhou, Zhejiang 310000, China; Institutes for Systems Genetics, West China Hospital, Chengdu, Sichuan 610041, China; Shanghai Putuo People's Hospital, Tongji University, Shanghai 200060, China. Electronic address: shuang.wang@nvxclouds.com.

Publikováno v: Journal of genetics and genomics = Yi chuan xue bao [J Genet Genomics] 2024 Feb; Vol. 51 (2), pp. 243-251. Date of Electronic Publication: 2023 Sep 13.

Videos for Psychiatric Education: Could Deidentification Technology Make it Possible to Use Video Recordings of Patients for Psychiatric Education?

Autor: Schildkrout B; Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Publikováno v: The Journal of nervous and mental disease [J Nerv Ment Dis] 2024 Jan 01; Vol. 212 (1), pp. 2-3.

PROSurvival: A Technical Case Report on Creating and Publishing a Dataset for Federated Learning on Survival Prediction of Prostate Cancer Patients.

Autor: Xu T; R&D Division Health, OFFIS - Institute for Information Technology, Germany., Wolters T; R&D Division Health, OFFIS - Institute for Information Technology, Germany., Lotz J; Fraunhofer Institute for Digital Medicine MEVIS, Germany., Bisson T; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Pathologie, Berlin, Germany., Kiehl TR; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Pathologie, Berlin, Germany., Flinner N; Goethe University Frankfurt, Universitätsklinikum, Dr. Senckenbergisches Institut für Pathologie, Frankfurt am Main, Germany., Zerbe N; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Pathologie, Berlin, Germany.; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institut für Medizinische Informatik, Berlin, Germany., Eichelberg M; R&D Division Health, OFFIS - Institute for Information Technology, Germany.

Publikováno v: Studies in health technology and informatics [Stud Health Technol Inform] 2024 Nov 22; Vol. 321, pp. 220-224.