Cover Image

Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ke, Yu He, Yang, Rui, Lie, Sui An, Lim, Taylor Xin Yi, Abdullah, Hairil Rizal, Ting, Daniel Shu Wei, Liu, Nan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

P-Transformer: A Prompt-based Multimodal Transformer Architecture For Medical Tabular Data
by: Ruan, Yucheng, et al.
Published: (2023)

Prediction of mortality and resource utilization in critical care: a deep learning approach using multimodal electronic health records with natural language processing techniques
by: Ruan, Yucheng, et al.
Published: (2025)

Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report
by: Ke, YuHe, et al.
Published: (2024)

Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare
by: Zahraei, Pardis Sadat, et al.
Published: (2024)

Use of a large language model with instruction‐tuning for reliable clinical frailty scoring
by: Xiang Lee Jamie Kee, et al.
Published: (2024)

oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness
by: Ke, Yu He, et al.
Published: (2024)

Prompt Engineering and the Effectiveness of Large Language Models in Enhancing Human Productivity
by: Anam, Rizal Khoirul
Published: (2025)

Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search
by: Ji, Kaixin, et al.
Published: (2024)

Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) -- a Large Language Model Chatbot for Perioperative Medicine
by: Ke, Yu He, et al.
Published: (2024)

CogBias: Measuring and Mitigating Cognitive Bias in Large Language Models
by: Huang, Fan, et al.
Published: (2026)

BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
by: Xu, Xin, et al.
Published: (2025)

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
by: Yuan, Han, et al.
Published: (2021)

Real‐world deployment and evaluation of PEri ‐operative AI CHatbot ( PEACH ): a large language model chatbot for peri‐operative medicine
by: Yu He Ke, et al.
Published: (2025)

Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement
by: Shukla, Pushkar, et al.
Published: (2024)

Mitigating Cognitive Bias in RLHF by Altering Rationality
by: Horter, Tiffany, et al.
Published: (2026)

BAdd: Bias Mitigation through Bias Addition
by: Sarridis, Ioannis, et al.
Published: (2024)

Mitigating Strategy Preference Bias in Emotional Support Conversation via Uncertainty Estimations
by: Zhou, Yougen, et al.
Published: (2025)

Mitigating Gender Bias in Code Large Language Models via Model Editing
by: Qin, Zhanyue, et al.
Published: (2024)

Mitigating Perception Bias: A Training-Free Approach to Enhance LMM for Image Quality Assessment
by: Chen, Baoliang, et al.
Published: (2024)

Thermal Performance Enhancement of Heneicosane as Thermal Energy Storage Material: A Molecular Dynamic Study
by: Rizal Sinaga
Published: (2026)

A Structured Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy
by: Shafi, Abdullah Al, et al.
Published: (2025)

Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs
by: Wei, Kangda, et al.
Published: (2025)

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models
by: Qin, Zhanyue, et al.
Published: (2025)

Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning
by: Wu, Xuyang, et al.
Published: (2025)

Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation
by: Kang, Dongjin, et al.
Published: (2024)

Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation
by: Sui, Yuan, et al.
Published: (2026)

Robustness and Imperceptibility Analysis of Hybrid Spatial-Frequency Domain Image Watermarking
by: Anam, Rizal Khoirul
Published: (2025)

Multilevel DWT Statistical Feature Analysis for Gait Recognition: A Machine Learning Approach
by: Istiqomah, et al.
Published: (2025)

Evaluating Gemini LLM in Food Image-Based Recipe and Nutrition Description with EfficientNet-B4 Visual Backbone
by: Anam, Rizal Khoirul
Published: (2025)

Public Health Insurance and Healthcare Utilisation Decisions of Young Adults
by: Muhammad Fikru Rizal
Published: (2024)

A Scalable Approach to Benchmarking the In-Conversation Differential Diagnostic Accuracy of a Health AI
by: Bhatt, Deep, et al.
Published: (2024)

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

Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
by: Liu, Shuliang, et al.
Published: (2025)

Enhancing Diagnostic Accuracy for Urinary Tract Disease through Explainable SHAP-Guided Feature Selection and Classification
by: de Oliveira, Filipe Ferreira, et al.
Published: (2025)

Mitigating Conversational Inertia in Multi-Turn Agents
by: Wan, Yang, et al.
Published: (2026)

Faithful-Patchscopes: Understanding and Mitigating Model Bias in Hidden Representations Explanation of Large Language Models
by: Gong, Xilin, et al.
Published: (2026)

Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework
by: Xu, Zhenjie, et al.
Published: (2024)

Generative AI and Power Imbalances in Global Education: Frameworks for Bias Mitigation
by: Nyaaba, Matthew, et al.
Published: (2024)

CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay
by: Zhang, Jianshu, et al.
Published: (2024)

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