Article

CALM-VLM: CALIBRATION AND SELECTIVE PREDICTION IN VISION–LANGUAGE MODELS FOR RELIABLE BRAIN MRI CLASSIFICATION

2026-04-14

Abstract excerpt

<h4> A bstract </h4> Recent advances in vision-language models (VLMs) have demonstrated strong multimodal capabilities for medical image analysis. However, their confidence in diagnostic predictions is often unclear, limiting adoption in clinical settings. We introduce CALM-VLM ( CAL ibration M echanism for Vision-Language Models), which integrates confidence calibration and selective prediction into a genera...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c923c4a0-5785-556c-8bce-0f0acfec0256
DOI: 10.64898/2026.04.10.717865

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

CALM-VLM: CALIBRATION AND SELECTIVE PREDICTION IN VISION–LANGUAGE MODELS FOR RELIABLE BRAIN MRI CLASSIFICATIONDOI 10.64898/2026.04.10.717865Read

An Empirical Evaluation of Low-Rank Adapted Vision–Language Models for Radiology Medical Image CaptioningSemantic proximity Read

Bias-constrained multimodal intelligence for equitable and reliable clinical AISemantic proximity Read

Advances in Deep Learning for Medical Imaging: Foundations, Evolution, and ImpactSemantic proximity Read

Multimodal Generative AI in Diagnostics: Bridging Medical Imaging and Clinical ReasoningSemantic proximity Read

Health system learning achieves generalist neuroimaging modelsSemantic proximity Read

Generalizable CT Vision-Language Modeling for Population Health and Disease RiskSemantic proximity Read

Learning neuroimaging models from health system-scale dataSemantic proximity Read

Forecasting Alzheimer’s Disease Progression with Deep Multimodal Learning: Integration of 3D MRI and Tabular Clinical Records via a Large Vision-Language ModelSemantic proximity Read

Parameter Efficient Fine-tuning of Transformer-based Masked Autoencoder Enhances Resource Constrained Neuroimage AnalysisSemantic proximity Read

Comparative Analysis of GPT-4Vision, GPT-4 and Open Source LLMs in Clinical Diagnostic Accuracy: A Benchmark Against Human ExpertiseSemantic proximity Read

Language-Guided Segmentation of Medical Images: A Review of Foundation ModelsSemantic proximity Read

Early Detection of Alzheimer’s Disease Using Generative Models: A Review of GANs and Diffusion Models in Medical ImagingSemantic proximity Read