:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Adams, Lisa C., Marx, Linus, Orberg, Erik Thiele, Bressem, Keno, Ziegelmayer, Sebastian, Bernhardt, Denise, Graf, Markus, Makowski, Marcus R., Combs, Stephanie E., Matthes, Florian, Peeken, Jan C.
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.03916
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs
by: Vladika, Juraj, et al.
Published: (2025)

From Text to Image: Exploring GPT-4Vision's Potential in Advanced Radiological Analysis across Subspecialties
by: Busch, Felix, et al.
Published: (2023)

What Does DALL-E 2 Know About Radiology?
by: Adams, Lisa C., et al.
Published: (2022)

Benchmarking Foundation Models for Renal Lesion Stratification in CT
by: Häntze, Hartmut, et al.
Published: (2026)

Sex-based Bias Inherent in the Dice Similarity Coefficient: A Model Independent Analysis for Multiple Anatomical Structures
by: Häntze, Hartmut, et al.
Published: (2025)

Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data
by: Dorfner, Felix J., et al.
Published: (2024)

HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking
by: Vladika, Juraj, et al.
Published: (2023)

Tables Guide Vision: Learning to See the Heart through Tabular Data
by: Hasny, Marta, et al.
Published: (2025)

Agentic clinical reasoning over longitudinal myeloma records: a retrospective evaluation against expert consensus
by: Moll, Johannes, et al.
Published: (2026)

Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations
by: Moll, Johannes, et al.
Published: (2025)

GRASP: Gated Regression-Aware Skill Proposer for Self-Improving LLM Agents
by: Moll, Johannes, et al.
Published: (2026)

No Data? No Problem: Robust Vision-Tabular Learning with Missing Values
by: Hasny, Marta, et al.
Published: (2025)

Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans
by: Häntze, Hartmut, et al.
Published: (2024)

Increasing visibility of the neurobiology of eating disorders in youth – a commentary on Hagan et al. (2025)
by: Carolina Makowski
Published: (2026)

VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking
by: Rothermel, Mark, et al.
Published: (2026)

MultiCheck: Strengthening Web Trust with Unified Multimodal Fact Verification
by: Kishore, Aditya, et al.
Published: (2025)

Fact Checking Chatbot: A Misinformation Intervention for Instant Messaging Apps and an Analysis of Trust in the Fact Checkers
by: Lim, Gionnieve, et al.
Published: (2024)

MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data
by: Han, Tianyu, et al.
Published: (2023)

MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain
by: Bressem, Keno K., et al.
Published: (2023)

Are Fact-Checking Tools Helpful? An Exploration of the Usability of Google Fact Check
by: Yang, Qiangeng, et al.
Published: (2024)

Generalist embedding models are better at short-context clinical semantic search than specialized embedding models
by: Excoffier, Jean-Baptiste, et al.
Published: (2024)

Viewing inclusion through the lens of democracy—Conceptualizations and enactments in three early childhood educational settings
by: Mimmi Örberg, et al.
Published: (2024)

FactSim: Fact-Checking for Opinion Summarization
by: Anghinoni, Leandro, et al.
Published: (2026)

UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking
by: Ahmad, Sarfraz, et al.
Published: (2025)

Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning
by: Vladika, Juraj, et al.
Published: (2025)

Check the Facts Step by Step
by: Alison Knopf
Published: (2024)

Multi-Agent Fact Checking
by: Verma, Ashwin, et al.
Published: (2025)

(Fact) Check Your Bias
by: Bakke, Eivind Morris, et al.
Published: (2025)

Survey of Sleep Practices Among Clinicians Working With Pediatric Oncology Patients
by: Lauren C. Daniel, et al.
Published: (2026)

RadioRAG: Online Retrieval-augmented Generation for Radiology Question Answering
by: Arasteh, Soroosh Tayebi, et al.
Published: (2024)

Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models
by: Vladika, Juraj, et al.
Published: (2025)

OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs
by: Wang, Yuxia, et al.
Published: (2024)

Community‐Driven Fact‐Checking on WhatsApp : Who Fact‐Checks Whom, Why, and With What Effect?
by: Kiran Garimella
Published: (2025)

Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection
by: Dorfner, Felix J., et al.
Published: (2024)

GraphCheck: Multipath Fact-Checking with Entity-Relationship Graphs
by: Jeon, Hyewon, et al.
Published: (2025)

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
by: Tang, Liyan, et al.
Published: (2024)

The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking
by: Struß, Julia Maria, et al.
Published: (2026)

Religious Considerations in Apheresis: Implications for Clinicians Caring for Muslim Patients and Donors
by: Yandy Marx Castillo‐Aleman
Published: (2026)

LongHealth: A Question Answering Benchmark with Long Clinical Documents
by: Adams, Lisa, et al.
Published: (2024)

Fact Checking Beyond Training Set
by: Karisani, Payam, et al.
Published: (2024)