Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 10, 2025Health psychology researchOpen Access

LoRA-MedSim: An Enhanced Multimodal Framework for Clinical Reasoning and Realistic Patient-Doctor Interaction

View Full Paper
Ask AI
Bookmark
Share

Authors

KFKhadeja FahmyMZM. ZorkanyAAAbd El-Hady Ammar

Discussion

Loading...

Member takes

Overview

Proposed framework improves clinical reasoning in patient-doctor interactions, suggesting effective AI assistance.

Key Points

  • Model demonstrated higher accuracy and lower loss values, enhancing performance in medical contexts.
  • Utilized a curated VQA-Med CLEF 2019 dataset for fine-tuning, improving interaction quality.
  • Enabled active management of complex multi-turn diagnostic queries by integrating dialogue-based reasoning.
  • Framework bridges the gap between passive AI tools and active diagnostic agents in clinical scenarios.

Cite This Study

Fahmy et al. (2025) studied this question.

synapsesocial.com/papers/68e90f526476c097794aa3cdhttps://doi.org/10.14440/hpr.0175
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology2024 · 79 citations
  2. 2Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning2024
  3. 3MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning2024 · 4 citations
  4. 4DoctorAgent-RL: A Multi-Agent Collaborative Reinforcement Learning System for Multi-Turn Clinical Dialogue2025
  5. 5Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning2025