Pathology images of histopathology can be acquired from camera-mounted microscopes or
whole-slide scanners. Utilizing similarity calculations to match patients based on these …

The development of new therapeutic strategies such as immune checkpoint inhibitors (ICIs)
and targeted therapies has increased the complexity of the treatment landscape for solid …

Recent advances in deep learning have completely transformed the domain of
computational pathology (CPath). More specifically, it has altered the diagnostic workflow of …

The emergence of Large Multimodal Models (LMMs) marks a significant milestone in the
development of artificial intelligence. Insurance, as a vast and complex discipline, involves a …

Large language models (LLMs) have shown impressive performance across a range of
natural language processing tasks. However, their vast number of parameters introduces …

In clinical science and practice, text data, such as clinical letters or procedure reports, is
stored in an unstructured way. This type of data is not a quantifiable resource for any kind of …

Current AI-based methods for the classification of cellular features in microscopy images
require time-and labor-intensive processes for training models. Specific limitations include …

Recently, Multimodal Large Language Models (MLLMs) have demonstrated their immense
potential in computer-aided diagnosis and decision-making. In the context of robotic …

Recent advancements in MLLM, such as those exemplified by developments like GPT-4o,
have positioned them as a significant focus within the research community. MLLMs leverage …

Boosting GPT-4V's accuracy in dermoscopic classification with few-shot learning. Comment on
“can ChatGPT vision diagnose melanoma? An exploratory diagnostic accuracy study” - Journal …