Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis

H Wang, S Zhao, Z Qiang, N Xi, B Qin, T Liu - arXiv preprint arXiv …, 2024 - arxiv.org
Automatic diagnosis is a significant application of AI in healthcare, where diagnoses are
generated based on the symptom description of patients. Previous works have approached …

SA-MPF: A Status-Aware Mask Prediction Framework for Online Disease Diagnosis

Z Hu, L Meng, Y Zhao, Y Zhao, S Xu… - 2024 International Joint …, 2024 - ieeexplore.ieee.org
An increasing number of individuals are turning to online self-diagnosis by matching their
symptoms with potential medical conditions. This process involves two primary components …

[HTML][HTML] Model-Agnostic Confidence Measurement for Aggregating Multimodal Ensemble Models in Automatic Diagnostic Systems

CY Ju, DH Lee - Methods, 2024 - Elsevier
Automatic diagnostic systems (ADSs) have been garnering increased attention because
they can alleviate the workload of clinicians by assisting in diagnosis and offering low-cost …

M2-DIA: Enhancing Diagnostic Capabilities in Imbalanced Disease Data using Multimodal Diagnostic Ensemble Framework

CY Ju, JS Park, DH Lee - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
The ADS (Automatic Diagnosis System) has garnered increasing attention for its potential to
aid clinicians and enhance healthcare accessibility for patients. These systems are …