Paper Review Records
All Paper Review Records
17 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
82
days
Evaluating teacher-supervised small medical language models for institution-constrained clinical QA
AuthorsGaoyuan Du; Dimitrios Dimitriadis; Xueping Li
AffiliationsDepartment of Industrial and Systems Engineering, University of Tennessee, Knoxville, 37996, TN, USA; Amazon, Seattle, 98109, WA, USA
193
days
TriFuse: A multi-signal three-stage data distillation framework for efficient medical model training
AuthorsRuilong Xu; Huan Fang
AffiliationsCollege of Mathematics and Big Data, Anhui University of Science and Technology, No. 168 Taifeng Avenue, Huainan, Anhui 232001, China
198
days
Quality-aware multi-source data fusion and enhancement for Medical Concept Normalization using Large Language Models
AuthorsYuhan Zhou; Ruochi Li; Ana Cleveland; Junhua Ding; Kewei Sha; Haihua Chen
AffiliationsDepartment of Information Science, University of North Texas, Denton, 76203, TX, USA; Department of Computer Science, North Carolina State University, Raleigh, 27695, NC, USA; Anuradha and Vikas Sinha Department of Data Science, University of North Texas, Denton, 76203, TX, USA
152
days
Common data element (CDE) and AI-Enabled approaches for clinical data Management: Workshop proceedings from the NIH INCLUDE Project
AuthorsJoaquin M. Espinosa; Kate Burdekin; Jeanette O. Auman; Benjamin Tyndall; James F. Cnota; Sigan L. Hartley; Deborah J. Fidler; Susan Redline; Anne Thessen; Diane Catellier; Robert J Carroll; Tracie Rosser; Pierrette Lo; David Beaumont; Karthik Natarajan; Allison Heath; Danniel Fabbri; Maria Chatzou Dunford; Alex Cheng; Bryanna Schwartz; Huiqing Li
AffiliationsLinda Crnic Institute for Down Syndrome, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States; Kayvea LLC and RTI International, Research Triangle Park, NC 27709, United States; RTI International, Research Triangle Park, NC 27709, United States; Heart Institute, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229, United States; School of Human Ecology and Waisman Center, University of Wisconsin-Madison, Madison, WI 53711, United States; Department of Human Development and Family Studies, Colorado State University, Fort Collins, CO 80523-1570, United States; Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, United States; University of North Carolina’s Genetics Department, Chapel Hill, NC 27514, United States; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States; Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, United States; Department of Biomedical Informatics, Columbia University, New York, NY 10032, United States; Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, United States; Lifebit Biotech Ltd. 4th Floor, 28-29 Threadneedle Street, London EC2R 8AY, United Kingdom; Vanderbilt Institute of Clinical and Translational Research and Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States; National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, United States
271
days
A novel language model for predicting serious adverse event results in clinical trials from their prospective registrations
AuthorsQixuan Hu; Xumou Zhang; Jinman Kim; Florence Bourgeois; Adam G. Dunn
AffiliationsSchool of Computer Science, Faculty of Engineering, University of Sydney, Sydney, NSW, Australia; Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA, United States; Harvard-MIT Center for Regulatory Science and Department of Pediatrics, Harvard Medical School, Boston, MA, United States; Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
169
days
Selection-based prompting with synthesized candidates unlocks high-performance clinical abbreviation disambiguation via open-source LLMs
AuthorsSiwen Wei; Xiaoyu Liu; Yonghong Shi
AffiliationsDigital Medical Research Center, School of Basic Medical Science, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention, Shanghai 200032, China
166
days
Predicting healthy weight status from physical activity and dietary intake: A time-aware data mining pipeline
AuthorsXiaotong Yu; Joshua Y. Kim; Guillaume Wattelez; Olivier Galy; Corinne Caillaud; Kalina Yacef
AffiliationsSchool of Computer Science, The University of Sydney, Sydney, NSW 2008, Australia; Institute for Societies, Languages and Education, University of New Caledonia, Noumea, 98800, New Caledonia; Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2008, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW 2008, Australia
167
days
Selective classification under imbalance in multiclass settings: A novel metric for bias-aware risk–coverage evaluation
AuthorsFatih Sağlam; Ünsal Özgen; Alper Uygun; Oğuz Salih Dinçer; Canan Albayrak
AffiliationsDepartment of Statistics, Faculty of Science, Ondokuz Mayis University, Samsun, 55100, Turkiye; Department of Pediatric Hematology and Oncology, Faculty of Medicine, Samsun, 55100, Turkiye
120
days
BiGranMolNet: A deep learning method for predicting blood-brain barrier permeability based on Bi-Granularity Molecular Graphs
AuthorsYidan Wang; Yizhuo Wang; Yang Wang; Jiajun Wang
AffiliationsSchool of Computer Science and Technology, Beijing Institute of Technology, No. 5 Zhongguancun South Street, Beijing, 100081, Beijing, China
136
days
Real-time hallucination detection and intervention in medical LLMs via calibrated hidden-state probes
AuthorsZhengqiu Yu; Xiangrong Liu
AffiliationsSchool of Medicine, Xiamen University, Xiamen 361005, PR China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361005, PR China; Department of Computer Science and Technology, Xiamen University, Xiamen 361005, PR China; Xiamen Key Laboratory of Intelligent Storage and Computing, Xiamen University, Xiamen 361005, PR China
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SampleLatest 5 valid paper samples from 2026
Average review96.4 days
Median77 days