Background Natural language processing tools are becoming increasingly adopted in
multiple industries worldwide. They have shown promising results however their use in the …

Objective To describe the frequency of open science practices in a contemporary sample of
studies develo** prognostic models using machine learning methods in the field of …

Aims The primary goal of this study is to evaluate the capabilities of Large Language Models
(LLMs) in understanding and processing complex medical documentation. We chose to …

In the context of breast cancer management, the accurate determination of pathologic
complete response (pCR) from large narrative pathology reports is pivotal for cancer …

Aims Evaluation of pathological complete response (pCR)[no residual invasive carcinoma in
the breast (RIC) or lymph node metastases (LNM) in surgical specimens following therapy] …

This dissertation explores the integration of Natural Language Processing (NLP) techniques
to enrich and enhance the searchability and utility of pathology reports within the healthcare …