CrushSCI.com
Journal Selection & Manuscript Polishing Services
BMC Medical Informatics and Decision Making journal cover Medicine
Back to journal directory

Review Cycle Records

BMC Medical Informatics and Decision Making

Springer SCIE OA
2026 Emerging Zone 22025 CAS Zone 32025 JCR Q2
383.1Average days
440.5Median days
77Fastest days
662Longest days
4962025 publications

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.

662 days

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

Source PDF DOI Publisher page
77 days

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

Source PDF DOI Publisher page
91 days

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

Source PDF DOI Publisher page
208 days

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

Source PDF DOI Publisher page
604 days

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

Source PDF DOI Publisher page
535 days

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

Source PDF DOI Publisher page
346 days

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

Source PDF DOI Publisher page
80 days

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

Source PDF DOI Publisher page
622 days

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

Source PDF DOI Publisher page
606 days

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

Source PDF DOI Publisher page

Expert Matching · Case Demo

Turn Your Submission Goalsinto a Verifiable Journal Plan

Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.

CrushSCI online

Client

I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?

CrushSCI

Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.

Suggested title
Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

SampleLatest 5 valid paper samples from 2026

Average review96.4 days

Median77 days

Contact CrushSCI

Contact CrushSCI

Leave your contact details so we can discuss your manuscript, editing needs, and submission plan.

Selected service: Paper Editing Service

Or leave your contact details

WhatsApp, Telegram, WeChat, and email are all optional, but at least one is required. Once received, we will contact you as soon as possible.