:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Buess, Lukas, Keicher, Matthias, Navab, Nassir, Maier, Andreas, Arasteh, Soroosh Tayebi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2502.09242
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MAGDA: Multi-agent guideline-driven diagnostic assistance
di: Bani-Harouni, David, et al.
Pubblicazione: (2024)

Cross-modal linkage risk in clinical vision-language models
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2026)

SteuerLLM: Local specialized large language model for German tax law analysis
di: Wind, Sebastian, et al.
Pubblicazione: (2026)

Safety and accuracy follow different scaling laws in clinical large language models
di: Wind, Sebastian, et al.
Pubblicazione: (2026)

Multi-step retrieval and reasoning improves radiology question answering with large language models
di: Wind, Sebastian, et al.
Pubblicazione: (2025)

Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications
di: Mohammadi, Marziyeh, et al.
Pubblicazione: (2025)

Differential privacy representation geometry for medical image analysis
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2026)

Prototype-Based Knowledge Guidance for Fine-Grained Structured Radiology Reporting
di: Pellegrini, Chantal, et al.
Pubblicazione: (2026)

Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2023)

Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
di: Bani-Harouni, David, et al.
Pubblicazione: (2025)

Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2026)

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays
di: Madhipati, Rajesh, et al.
Pubblicazione: (2025)

Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations
di: Lotfinia, Mahshad, et al.
Pubblicazione: (2025)

Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models
di: Bani-Harouni, David, et al.
Pubblicazione: (2025)

Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2024)

Navigating the landscape of multimodal AI in medicine: a scoping review on technical challenges and clinical applications
di: Schouten, Daan, et al.
Pubblicazione: (2024)

Perceptual implications of automatic anonymization in pathological speech
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2025)

Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2025)

Safety challenges of AI in medicine in the era of large language models
di: Wang, Xiaoye, et al.
Pubblicazione: (2024)

AI-AI Bias: large language models favor communications generated by large language models
di: Laurito, Walter, et al.
Pubblicazione: (2024)

Large Language Models Streamline Automated Machine Learning for Clinical Studies
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2023)

SpeechCT-CLIP: Distilling Text-Image Knowledge to Speech for Voice-Native Multimodal CT Analysis
di: Buess, Lukas, et al.
Pubblicazione: (2025)

The Impact of Speech Anonymization on Pathology and Its Limits
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2024)

Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
di: Yuan, Kun, et al.
Pubblicazione: (2024)

The challenge of uncertainty quantification of large language models in medicine
di: Atf, Zahra, et al.
Pubblicazione: (2025)

A critical review of methods and challenges in large language models
di: Moradi, Milad, et al.
Pubblicazione: (2024)

ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling
di: Özsoy, Ege, et al.
Pubblicazione: (2024)

Large language models in medicine: the potentials and pitfalls
di: Omiye, Jesutofunmi A., et al.
Pubblicazione: (2023)

Automating psychological hypothesis generation with AI: when large language models meet causal graph
di: Tong, Song, et al.
Pubblicazione: (2024)

Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering
di: Farajiamiri, Mina, et al.
Pubblicazione: (2026)

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

Expediting data extraction using a large language model (LLM) and scoping review protocol: a methodological study within a complex scoping review
di: Stewart-Evans, James, et al.
Pubblicazione: (2025)

Retrieval-augmented in-context learning for multimodal large language models in disease classification
di: Zhan, Zaifu, et al.
Pubblicazione: (2025)

Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2023)

From Linear Probing to Joint-Weighted Token Hierarchy: A Foundation Model Bridging Global and Cellular Representations in Biomarker Detection
di: Liu, Jingsong, et al.
Pubblicazione: (2025)

Towards deployment-centric multimodal AI beyond vision and language
di: Liu, Xianyuan, et al.
Pubblicazione: (2025)

The role of self-supervised pretraining in differentially private medical image analysis
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2026)

RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance
di: Pellegrini, Chantal, et al.
Pubblicazione: (2023)

Evaluating point-light biological motion in multimodal large language models
di: Kadambi, Akila, et al.
Pubblicazione: (2025)

COMET: "Cone of experience" enhanced large multimodal model for mathematical problem generation
di: Liu, Sannyuya, et al.
Pubblicazione: (2024)