Optimizing a Multimodal Large Language Model for Ultrasound-Based Thyroid Nodule Malignancy Classification: A Comparative Study of Few-Shot Learning, Prompt Engineering, and Fine-Tuning.
Li YH; Cheng YC; Chang CY; Lee IT · 2026 · Diagnostics (Basel, Switzerland)
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Objectives: Multimodal large language models (MLLMs) have shown potential for medical image classification. We evaluated four optimization strategies in two MLLMs-GPT-4o (gpt-4o-2024-08-06) and Gemini 2.5 Flash-Lite-for ultrasound-based…
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Metadata source: Europe PMC · DOI 10.3390/diagnostics16121931