Clinical Information Extraction

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11 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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Transferable Self-Harm Surveillance from Emergency Department Triage Notes Using an Evidence-Augmented Machine Learning Approach
Jun 1, 2026Liuliu Chen, Gowri Rajaram, Eleanor Bailey +5Mental Health Domain Generalization
School of Computing and Information Systems, University of Melbourne, VIC, Australia. · Orygen, VIC, Australia. · Centre for Youth Mental Health, University of Melbourne, VIC, Australia. +1
When Rating Scales Fall Short: LLM-Assisted Discovery of ADHD Signals in Turkish Teacher Narratives
Jun 1, 2026Baris Karacan, Irem Aktar Songur, Ahmet Ozaslan +1Medical Diagnosis Clinical Information Extraction
Department of Computer Science, University of Illinois Chicago · Department of Child and Adolescent Psychiatry, Gazi University
AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis
Jun 1, 2026Massimiliano Pronesti, Angelo Miculescu, Mohsin Kapdi +8AI-Assisted Scientific Research Clinical Information Extraction
1IBM Research · 2Dublin City University · University of Oxford +2
ClinicalEncoder26AM: A Multlilingual Diagnosable ColBERT Model; Evidences from the MultiClinNER Shared Task
May 27, 2026François RemyNamed Entity Recognition Healthcare
Parallia AI
PrionNER: A Named Entity Recognition Dataset for Prion Disease Biomedical Literature
May 27, 2026An Dao, Nhan Ly, Thao Tran +2Named Entity Recognition Healthcare
The University of Tokyo, Tokyo, Japan · Medical Doctor, Independent Researcher · Center for Language AI Research, Tohoku University, Sendai, Japan +2
Reliable Extraction of Clinical Follow-Up Instructions: A Hybrid Neural-Symbolic Pipeline
May 26, 2026Michal Laufer, Yehudit Aperstein, Alexander ApartsinRelation Extraction Healthcare
1Bar-Ilan University, Ramat Gan, Israel · 2Afeka College of Engineering, Tel Aviv, Israel · 3Holon Institute of Technology, Holon, Israel
RAPTOR+: A Visually Grounded Vision-Language Framework to Improve Clinical Trust and Auditability in Automated Cancer Referral Processing
May 25, 2026Sofiat Abioye, Ufaq Khan, Shazad Ashraf +4Document Understanding Healthcare
Birmingham City University, Birmingham, England, UK · Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE · University Hospitals Birmingham NHS Foundation Trust, Birmingham, England, UK +1
EPPC-OASIS: Ontology-Aware Adaptation and Structured Inference Refinement for Electronic Patient-Provider Communication Mining in Secure Messages
May 22, 2026Samah Fodeh, Sreeraj Ramachandran, Elyas Irankhah +7Clinical Information Extraction LLM Information Extraction
Yale University, New Haven, CT, USA · Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland Clinic, Cleveland, OH, USA · Medical Oncology, Yale School of Medicine, New Haven, CT, USA
Automated ICD Classification of Psychiatric Diagnoses: From Classical NLP to Large Language Models
May 20, 2026Fernando Ortega, Raúl Lara-Cabrera, Jorge Dueñas-Lerín +3LLM Fine-Tuning Clinical Information Extraction
Department of Sistemas Informáticos, Universidad Politécnica de Madrid, Spain · KNODIS Research Group, Universidad Politécnica de Madrid, Spain · CIBERSAM ISCIII, Spain +8
Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction
May 14, 2026A H M Rezaul Karim, Ozlem UzunerRetrieval-Augmented Generation Healthcare
George Mason University, VA, USA
Key Coverage Matters: Semi-Structured Extraction of OCR Clinical Reports
May 10, 2026Yu Wang, Yingyun Li, Ying Qin +1Healthcare Document Information Extraction
AI Starfish, Hangzhou, China
Uncertainty-Aware Structured Data Extraction from Full CMR Reports via Distilled LLMs
May 8, 2026Yi Yu, Parker Martin, Zhenyu Bu +5Clinical Information Extraction LLM Information Extraction
†The Ohio State University · ‡NetMind.AI
Systematic Evaluation of Large Language Models for Post-Discharge Clinical Action Extraction
May 7, 2026Shivali Dalmia, Ananya Mantravadi, Prasanna DesikanDocument Information Extraction Clinical Information Extraction
Centific AI Research · Centific Global Solutions, Inc.
Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction
May 5, 2026Yao-Shun Chuang, Tushti Mody, Uday Pratap Singh +6Named Entity Recognition Healthcare
McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States · School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States · School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX 77054, United States +1
SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification
May 5, 2026Jose D. Posada, David Love, Somalee Datta +1Healthcare Clinical Information Extraction
Technology & Digital Solutions Stanford Medicine · Stanford Medicine
MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
May 4, 2026Yingyun Li, Yu Wang, Haiyang QianHealthcare Document Information Extraction
AI Starfish, China
LLM StructCore: Schema-Guided Reasoning Condensation and Deterministic Compilation
Apr 22, 2026Serhii ZabolotniiHealthcare Clinical Information Extraction
Cherkasy State Business College2026 Cherkasy, Ukraine
Beyond the Basics: Leveraging Large Language Model for Fine-Grained Medical Entity Recognition
Apr 19, 2026Nwe Ni Win, Jim Basilakis, Steven Thomas +6Named Entity Recognition Healthcare
Western Sydney University, Sydney, Australia · Western Sydney University, Australia · South Western Emergency Research Institute, Sydney, Australia +7
EviSearch: Trustworthy Extraction and Synthesis of Clinical Trial Evidence with Agents that Improve with Use
Mar 23, 2026Naman Ahuja, Abhijit Chakraborty, Muhammad Ali Khan +4AI-Assisted Scientific Research Human-in-the-Loop AI
Arizona State University · Mayo Clinic
LLM-MINE: Large Language Model based Alzheimer's Disease and Related Dementias Phenotypes Mining from Clinical Notes
Mar 14, 2026Mingchen Shao, Yuzhang Xie, Carl Yang +1Alzheimer's Disease Clinical Information Extraction
Northwestern University, Evanston, IL · Emory University, Atlanta, GA
RexDrug: Reliable Multi-Drug Combination Extraction through Reasoning-Enhanced LLMs
Mar 9, 2026Zhijun Wang, Ling Luo, Dinghao Pan +4Relation Extraction Clinical Information Extraction
School of Computer Science and Technology, Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Liaoning 116024, China · Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, No.44 Xiaoheyan Road, Dadong District, Liaoning 110042, China
Standardizing Longitudinal Radiology Report Evaluation via Large Language Model Annotation
Jan 23, 2026Xinyi Wang, Grazziela Figueredo, Ruizhe Li +1Medical Report Generation LLM-Assisted Annotation
School of Computer Science, The University of Nottingham, Nottingham, NG7 2RD, United Kingdom. · School of Medicine, The University of Nottingham, Nottingham, NG7 2RD, United Kingdom.
HealthcareNLP: where are we and what is next?
Dec 9, 2025Lifeng Han, Paul Rayson, Andrew Moore +2Clinical NLP Clinical Information Extraction
Leiden University Medical Centre, NL · The Leiden Institute of Advanced Computer Science, NL · Lancaster University, UK +1
MedRepBench: A Comprehensive Benchmark for Medical Report Interpretation
Aug 21, 2025Fangxin Shang, Yuan Xia, Dalu Yang +2VLM Evaluation Healthcare
Baidu Inc., China

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Transferable Self-Harm Surveillance from Emergency Department Triage Notes Using an Evidence-Augmented Machine Learning Approach

Liuliu Chen, Gowri Rajaram, Eleanor Bailey, Katrina Witt+4

School of Computing and Information Systems, University of Melbourne, VIC, Australia. · Orygen, VIC, Australia. · Centre for Youth Mental Health, University of Melbourne, VIC, Australia.+1

Mental Health Domain Generalization Clinical Information Extraction

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Self-harm is a major public health concern, but current surveillance relying on hospital presentations is inadequate due to the low sensitivity of diagnostic codes. Emergency Department (ED) triage notes, recorded at the initial point of contact, provide a succinct summary of presentations and an opportunity to identify self-harm. We developed a three-stage approach, augmenting traditional machine learning with large language model-based screening and evidence extraction to detect self-harm in ED triage notes. We assessed model transferability across three Australian hospitals. Our approach showed AUPRCs of 0.887 +/- 0.016 and 0.884 +/- 0.012 during internal and external validation. Prospectively, it achieved AUPRC of 0.881 +/- 0.008 at the development site, and 0.879 +/- 0.012 and 0.816 +/- 0.015 at two external sites without site-specific retraining. A key advantage of the approach is that it enables identification of the primary self-harm method with an accuracy of 95%, supporting more granular surveillance beyond binary classification.

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