Risk assessment and pancreatic cancer: Diagnostic management and artificial intelligence

V Granata, R Fusco, SV Setola, R Galdiero… - Cancers, 2023 - mdpi.com
Simple Summary Pancreatic cancer (PC) is one of the deadliest cancers. Its high mortality
rate is correlated with several explanations; the main one is the late disease stage at which …

Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing

CA Mallio, AC Sertorio, C Bernetti… - La radiologia medica, 2023 - Springer
Structured reporting may improve the radiological workflow and communication among
physicians. Artificial intelligence applications in medicine are growing fast. Large language …

Recent advances in ultrasound breast imaging: from industry to clinical practice

O Catalano, R Fusco, F De Muzio, I Simonetti… - Diagnostics, 2023 - mdpi.com
Breast ultrasound (US) has undergone dramatic technological improvement through recent
decades, moving from a low spatial resolution, grayscale-limited technique to a highly …

Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment

V Granata, R Fusco, F De Muzio, MC Brunese… - La radiologia …, 2023 - Springer
Objective The aim of this study was the evaluation radiomics analysis efficacy performed
using computed tomography (CT) and magnetic resonance imaging in the prediction of …

Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer …

A Petrillo, R Fusco, ML Barretta, V Granata… - La radiologia …, 2023 - Springer
Objective The objective of the study was to evaluate the accuracy of radiomics features
obtained by MR images to predict Breast Cancer Histological Outcome. Methods A total of …

Large language models (LLMs) in the evaluation of emergency radiology reports: performance of ChatGPT-4, Perplexity, and Bard

A Infante, S Gaudino, F Orsini, A Del Ciello, C Gullì… - Clinical radiology, 2024 - Elsevier
Materials and methods Nine hundred and ninety-seven consecutive textual CT reports were
identified from the Department of Emergency and Acceptance (DEA), with positive and …

Structured reporting of computed tomography in the polytrauma patient assessment: A Delphi consensus proposal

V Granata, R Fusco, D Cozzi, G Danti, L Faggioni… - La radiologia …, 2023 - Springer
Objectives To develop a structured reporting (SR) template for whole-body CT examinations
of polytrauma patients, based on the consensus of a panel of emergency radiology experts …

Radiology, structured reporting and large language models: who is running faster?

CA Mallio, AC Sertorio, C Bernetti… - La radiologia medica, 2023 - Springer
It's our pleasure to receive the comment by Dr. Kleebayoon and Dr. Wiwanitkit to the paper
entitled “Large language models for structured reporting in radiology: performance of GPT-4 …

Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics

V Granata, R Fusco, SV Setola, R Galdiero… - Infectious agents and …, 2023 - Springer
In this narrative review, we reported un up-to-date on the role of radiomics to assess
prognostic features, which can impact on the liver metastases patient treatment choice. In …

[PDF][PDF] Functional assessment in endometrial and cervical cancer: diffusion and perfusion, two captivating tools for radiologists.

F De Muzio, R Fusco, I Simonetti… - European Review for …, 2023 - europeanreview.org
Uterine cervical and endometrial cancers are two major gynecological malignancies,
affecting women's health worldwide. Magnetic resonance imaging (MRI) is appropriate for …