Paper Review Records
All Paper Review Records
10 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
A framework for extraction of clinical information from radiological mammography reports using large language models and retrieval augmented generation
AuthorsEduardo Godoy; Joaquín De Ferrari; Sofia Lazo; Catalina Pacheco; Diego Mellado; Alex Saez; Steren Chabert; Rodrigo Salas
Affiliations1. School of Informatics Engineering, Universidad de Valparaíso, Valparaíso, Chile; 2. Center of Interdisciplinary Biomedical and Engineering Research for Health (MEDING), Universidad de Valparaíso, Valparaíso, Chile; 3. Millennium Institute for Intelligent Healthcare Engineering iHEALTH, Santiago, Chile; 4. PhD. Program in Applied Informatics Engineering, Universidad de Valparaíso, Valparaíso, Chile; 5. Department of Informatics, Universidad Técnica Federico Santa María, Valparaíso, Chile; 6. Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile; 7. Ph.D Program in Engineering Sciences, Major in Computational Science, Pontificia Universidad Católica de Chile, Santiago, Chile; 8. PhD. Program in Health Sciences and Engineering, Universidad de Valparaíso, Valparaíso, Chile; 9. School of Biomedical Engineering, Universidad de Valparaíso, Valparaíso, Chile; 10. Interclinica, Quilpué, Chile
Machine learning-assisted mRNA vaccine pharmacovigilance: a systematic review of multi-source real-world data
AuthorsYuLong He; Yan Mao; XinYu Wang
Affiliations1. Department of Clinical Medicine, Hunan University of Traditional Chinese Medicine, Changsha, China
Systematic review of machine learning approaches for predicting sickle cell crisis and mortality risk at the climate-health nexus
AuthorsMary Ofuru Kama; Ifeyinwa Angela Ajah; Anayo Chukwu Ikegwu; Adaora Angela Obayi; Felix Oshiorenoya Uloko; Immaculate Chidimma Ogbuagu
Affiliations1. Computer Science Department, Ebonyi State University, Abakaliki, Nigeria; 2. Software Engineering Department, Veritas University, Abuja, Nigeria; 3. High Performance and Intelligence Computing, University of Nigeria, Nsukka, Nigeria; 4. Arkin University of Creative Arts and Design, Northern Cyprus, Mersin 10, Kyrenia, Turkey; 5. Computer Science Department, University of Nigeria, Nsukka, Nigeria; 6. Computer Science Department, Veritas University, Abuja, Nigeria
Development and external validation of a machine-learning risk model for colorectal cancer triage in Sweden’s fast-track pathway
AuthorsMichiel A. van Nieuwenhoven; Yang Cao
Affiliations1. Department of Internal Medicine, Division of Gastroenterology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden; 2. University Health Care Research Center, Faculty of Medicine and Health, Örebro University, Örebro, Sweden; 3. Clinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden; 4. Unit of Integrative Epidemiology, Institute of Environmental Medicine, Stockholm, Sweden
Machine learning-based prediction model for predicting the impact of insulin resistance on the risk of ischemic cardiomyopathy
AuthorsTuersunjiang Naman; Hui Cheng; Xiao-lin Yu; Zi-tong Guo
Affiliations1. Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Affiliated Hospital of Xinjiang Second Medical College, Urumqi, China
Decentralized rare disease studies in Germany: first results and hurdles of secondary use of patient data
AuthorsMichele Zoch; Christian Gierschner; Jens Weidner; Martin Sedlmayr; Gabriele Müller; Daniela Choukair; Georg F. Hoffmann; Nicole Toepfner; Reinhard Berner; Fabian Prasser; Josef Schepers; Helge Hebestreit
Affiliations1. Institute for Medical Informatics and Biometry, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany; 2. Center for Evidence-Based Healthcare, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany; 3. Department of Pediatrics and Center for Rare Diseases, University Hospital Heidelberg, Heidelberg, Germany; 4. Department of Pediatrics, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany; 5. University Centre for Rare Diseases, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany; 6. Medical Informatics Group and Medical Data Integration Center, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Berlin, Germany; 7. Core Unit Digital Medicine and Interoperability, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Berlin, Germany; 8. Center for Rare Diseases – Reference Center Northern Bavaria, University Hospital, Julius-Maximilians University, Würzburg, Germany
The word and the way: strategies for domain-specific BERT pre-training in German medical NLP
AuthorsHenry He; Johann Frei; Raphael Schmitt
Affiliations1. School of Computation, Information and Technology, Technical University of Munich, Munich, Germany; 2. Chair of IT Infrastructure for Translational Medical Research, Faculty of Applied Computer Science, University of Augsburg, Augsburg, Germany; 3. Institute of General Practice, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
GERBEHRT: a BERT-based model tailored for German electronic health records – potential in chronic kidney disease prediction
AuthorsAnja Seidel; Edgar Steiger; Friedrich Alexander von Samson-Himmelstjerna; Lars Eric Kroll
Affiliations1. IT and Data Science, Central Research Institute of Ambulatory Health Care (Zi), Berlin, Germany; 2. Department of Nephrology and Hypertension, University Hospital Schleswig-Holstein, Christian-Albrechts-University Kiel, Kiel, Germany
Enhancing stratification for survival analyses across standardized data sources
AuthorsMikhail Shubov; Mareile Beernink; Jasmin Carus; Alexander Johannes Wiederhold; Christopher Gundler
Affiliations1. Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; 2. University Cancer Center Hamburg, University Medical Center Hamburg- Eppendorf, Hamburg, Germany
A systematic review of patient decision aids for hypertension
AuthorsJan Berghold; Lena Fischer; Alexander Pachanov; Leon Vincent Schewe; Dawid Pieper
Affiliations1. Institute for Health Services and Health System Research, Faculty of Health Sciences Brandenburg, Brandenburg Medical School (Theodor Fontane), Rüdersdorf, Germany; 2. Center for Health Services Research, Brandenburg Medical School (Theodor Fontane), Rüdersdorf, Germany; 3. SHARE TO CARE. Patient-Centered Care GmbH, Cologne, Germany
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