Cover Image

Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zahraei, Pardis Sadat, Shakeri, Zahra
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations
by: Zahraei, Pardis Sadat, et al.
Published: (2025)

I Am Aligned, But With Whom? MENA Values Benchmark for Evaluating Cultural Alignment and Multilingual Bias in LLMs
by: Zahraei, Pardis Sadat, et al.
Published: (2025)

WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts
by: Zahraei, Pardis Sadat, et al.
Published: (2024)

TuringQ: Benchmarking AI Comprehension in Theory of Computation
by: Zahraei, Pardis Sadat, et al.
Published: (2024)

Counterfactual Cultural Cues Reduce Medical QA Accuracy in LLMs: Identifier vs Context Effects
by: Rezaei, Amirhossein Haji Mohammad, et al.
Published: (2026)

Scaling Public Health Text Annotation: Zero-Shot Learning vs. Crowdsourcing for Improved Efficiency and Labeling Accuracy
by: Kazari, Kamyar, et al.
Published: (2025)

Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias
by: Ke, Yu He, et al.
Published: (2024)

Gender Bias in Large Language Models for Healthcare: Assignment Consistency and Clinical Implications
by: Liu, Mingxuan, et al.
Published: (2025)

Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Detection
by: Pastorino, Valeria, et al.
Published: (2024)

Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models
by: Yang, Kai-Cheng, et al.
Published: (2023)

A Comparative Study of Translation Bias and Accuracy in Multilingual Large Language Models for Cross-Language Claim Verification
by: Singhal, Aryan, et al.
Published: (2024)

BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models
by: Fan, Zhiting, et al.
Published: (2025)

The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models
by: Adedeji, Ayo, et al.
Published: (2024)

Detection, Classification, and Mitigation of Gender Bias in Large Language Models
by: Cheng, Xiaoqing, et al.
Published: (2025)

PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models
by: Moradbeiki, Pardis, et al.
Published: (2024)

Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning
by: Ma, Chuang, et al.
Published: (2026)

Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models
by: Jiang, Song, et al.
Published: (2023)

Detecting Bias in Large Language Models: Fine-tuned KcBERT
by: Lee, J. K., et al.
Published: (2024)

Evaluating Computational Accuracy of Large Language Models in Numerical Reasoning Tasks for Healthcare Applications
by: Malghan, Arjun R.
Published: (2025)

Bias in, Bias out: Annotation Bias in Multilingual Large Language Models
by: Cui, Xia, et al.
Published: (2025)

Encoder-Decoder or Decoder-Only? Revisiting Encoder-Decoder Large Language Model
by: Zhang, Biao, et al.
Published: (2025)

PsychoLex: Unveiling the Psychological Mind of Large Language Models
by: Abbasi, Mohammad Amin, et al.
Published: (2024)

Exploring the Influence of Label Aggregation on Minority Voices: Implications for Dataset Bias and Model Training
by: Pandya, Mugdha, et al.
Published: (2024)

Acquiescence Bias in Large Language Models
by: Braun, Daniel
Published: (2025)

IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators
by: Lin, Luyang, et al.
Published: (2024)

Towards Equitable AI: Detecting Bias in Using Large Language Models for Marketing
by: Yilmaz, Berk, et al.
Published: (2025)

Comparative Analysis of Large Language Models in Healthcare
by: Santhosh, Subin, et al.
Published: (2026)

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
by: Chen, Shan, et al.
Published: (2024)

Enhancing Translation Accuracy of Large Language Models through Continual Pre-Training on Parallel Data
by: Kondo, Minato, et al.
Published: (2024)

Evaluating Gender Bias in Large Language Models
by: Döll, Michael, et al.
Published: (2024)

Mitigating the Bias of Large Language Model Evaluation
by: Zhou, Hongli, et al.
Published: (2024)

MultiConAD: A Unified Multilingual Conversational Dataset for Early Alzheimer's Detection
by: Shakeri, Arezo, et al.
Published: (2025)

Gender Bias in Large Language Models across Multiple Languages
by: Zhao, Jinman, et al.
Published: (2024)

Regional Bias in Large Language Models
by: Gopinadh, M P V S, et al.
Published: (2026)

Anchoring Bias in Large Language Models: An Experimental Study
by: Lou, Jiaxu, et al.
Published: (2024)

Measuring Spiritual Values and Bias of Large Language Models
by: Liu, Songyuan, et al.
Published: (2024)

Problematic Tokens: Tokenizer Bias in Large Language Models
by: Yang, Jin, et al.
Published: (2024)

In-Contextual Gender Bias Suppression for Large Language Models
by: Oba, Daisuke, et al.
Published: (2023)

Mitigating Label Length Bias in Large Language Models
by: Sanz-Guerrero, Mario, et al.
Published: (2025)

More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative Reasoning
by: Shafiei, Mohammadamin, et al.
Published: (2025)