Background This research integrates a comparative analysis of the performance of human
researchers and OpenAI's ChatGPT in systematic review tasks and describes an …

Deep learning (DL) has substantially enhanced natural language processing (NLP) in
healthcare research. However, the increasing complexity of DL-based NLP necessitates …

Computational pathology targets the automatic analysis of Whole Slide Images (WSI). WSIs
are high-resolution digitized histopathology images, stained with chemical reagents to …

Recent years have seen an explosion in the interest and application of artificial
intelligence/machine learning (AI/ML). This has impacts in nearly every aspect of society, but …

Pembrolizumab has received approval as a first-line treatment for unresectable/metastatic
triple-negative breast cancer (mTNBC) with a PD-L1 combined positive score (CPS) of≥ 10 …

Automatic disease progression prediction models require large amounts of training data,
which are seldom available, especially when it comes to rare diseases. A possible solution …

Abstract Current Procedural Terminology Codes is a numerical coding system used to bill for
medical procedures and services and crucially, represents a major reimbursement pathway …

In the context of chronic liver diseases, where variability in progression necessitates early
and precise diagnosis, this study addresses the limitations of traditional histological analysis …

Abstract Automatic Term Extraction (ATE) systems have been studied for many decades as,
among other things, one of the most important tools for tasks such as information retrieval …