Federico Mastroleo

Quo vadis Radiomics? Bibliometric analysis of 10-year Radiomics journey

2023 · 34 Zit. · European Radiology

The continuous improvement of digital assistance in the radiation oncologist’s work: from web-based nomograms to the adoption of large-language models (LLMs). A systematic review by the young group of the Italian association of radiotherapy and clinical oncology (AIRO)

2024 · 6 Zit. · La radiologia medica

Mapping the research landscape of HPV-positive oropharyngeal cancer: a bibliometric analysis

2024 · 3 Zit. · Critical Reviews in Oncology/Hematology

How Italian radiation oncologists use ChatGPT: a survey by the young group of the Italian association of radiotherapy and clinical oncology (yAIRO)

2024 · 1 Zit. · La radiologia medica

Large language models for toxicity extraction in oncology trials: A real-world benchmark in prostate radiotherapy

2025 · 0 Zit. · Radiotherapy and Oncology

Clinical challenges in the adaptation of AI predictive models in radiation oncology for gynecological cancer: a systematic review by the radiation oncology-AI MITO group

2026 · 0 Zit. · International Journal of Gynecological Cancer

From BERT to GPT-4: A systematic review of AI-Driven toxicity extraction and grading in radiation oncology

2025 · 0 Zit. · Technical Innovations & Patient Support in Radiation Oncology

Unlocking the Potential of AI and Big Data in Cancer Research: Advances and Applications

2026 · 0 Zit. · Cancers

SurvKAN: A Fully Parametric Survival Model Based on Kolmogorov-Arnold Networks

2026 · 0 Zit. · Open MIND

Large Language Model and Natural Language Processing Approach to Identify Cancer Recurrence From Pathology Reports

2026 · 0 Zit. · JCO Clinical Cancer Informatics

Retrieval-Augmented Generation in Oncology: Promises, Pitfalls, and Early Applications

2026 · 0 Zit. · AI in Precision Oncology

SurvKAN: A Fully Parametric Survival Model Based on Kolmogorov-Arnold Networks

2026 · 0 Zit. · ArXiv.org