Summary of Dermacen Analytica: a Novel Methodology Integrating Multi-modal Large Language Models with Machine Learning in Tele-dermatology, by Dimitrios P. Panagoulias and Evridiki Tsoureli-nikita and Maria Virvou and George A. Tsihrintzis
Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
by Dimitrios P. Panagoulias, Evridiki Tsoureli-Nikita, Maria Virvou, George A. Tsihrintzis
First submitted to arxiv on: 21 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents an Artificial Intelligence-powered system that aids in diagnosing skin lesions and other skin conditions in dermatology. The approach combines machine learning algorithms, classifiers, segmentation algorithms, and large language models to simulate a dermatologist’s workflow. The system integrates transformer-based vision models and sophisticated machine learning tools for nuanced interpretation of dermatological conditions. The methodology is assessed through cross-model validation using publicly available medical case studies and images. Advanced machine learning and natural language processing tools are employed to quantify the system performance, focusing on similarity comparison and natural language inference. A human expert evaluation process based on a structured checklist further validates the results. The proposed methodology achieved approximate (weighted) scores of 0.87 for both contextual understanding and diagnostic accuracy. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates an AI-powered tool that helps doctors diagnose skin conditions. It combines different machine learning techniques to mimic how doctors think about skin problems. The system uses special computer models to look at pictures of skin lesions and make a diagnosis. Doctors can use this tool to help patients with skin problems remotely, which is especially helpful for people who don’t have access to good healthcare. |
Keywords
* Artificial intelligence * Inference * Machine learning * Natural language processing * Transformer
