Fondazione IRCCS Istituto Nazionale dei Tumori
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial Intelligence in Clinical Oncology: From Data to Digital Pathology and Treatment
Kirthika Senthil Kumar, V. Miskovic, Agata Blasiak et al.
2023 · 57 Zit.
A computer-aided diagnosis system for the assessment and characterization of low-to-high suspicion thyroid nodules on ultrasound
Salvatore Gitto, Giorgia Grassi, Chiara De Angelis et al.
2018 · 51 Zit.
Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI
Margarita Kirienko, Martina Sollini, Gaia Ninatti et al.
2021 · 46 Zit.
Climbing the steps of the evidence-based medicine pyramid: highlights from Annals of Nuclear Medicine 2019
Fabrizia Gelardi, Margarita Kirienko, Martina Sollini
2020 · 27 Zit.
Exploring the Role of ChatGPT in Oncology: Providing Information and Support for Cancer Patients
Maurizio Cè, Vittoria Chiarpenello, Alessandra Bubba et al.
2024 · 22 Zit.
A Simulation Study to Compare the Predictive Performance of Survival Neural Networks with Cox Models for Clinical Trial Data
Georgios Kantidakis, Elia Biganzoli, Hein Putter et al.
2021 · 17 Zit.
How do large language models answer breast cancer quiz questions? A comparative study of GPT-3.5, GPT-4 and Google Gemini
Giovanni Irmici, Andrea Cozzi, Gianmarco Della Pepa et al.
2024 · 15 Zit.
Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse Than Humans?
Giulia Emily Cetera, Alberto Eugenio Tozzi, Valentina Chiappa et al.
2024 · 15 Zit.
Benefits and Risks of Machine Learning Decision Support Systems
Lisa Licitra, Annalisa Trama, Hykel Hosni
2017 · 15 Zit.
ESMO basic requirements for AI-based biomarkers in oncology (EBAI)
Mihaela Aldea, Manuel Salto‐Tellez, Antonio Marra et al.
2025 · 14 Zit.
The impact of radiomics for human papillomavirus status prediction in oropharyngeal cancer: systematic review and radiomics quality score assessment
Gaia Spadarella, Lorenzo Ugga, Giuseppina Calareso et al.
2022 · 12 Zit.
ESMO guidance on the use of Large Language Models in Clinical Practice (ELCAP)
Evelyn Wong, Loïc Verlingue, Mihaela Aldea et al.
2025 · 11 Zit.
MetaLung: Towards a Secure Architecture for Lung Cancer Patient Care on the Metaverse
Michele Zanitti, Mieszko Ferens, A. Ferrarin et al.
2023 · 9 Zit.
Real-world radiology data for artificial intelligence-driven cancer support systems and biomarker development
Daniel Navarro-Garcia, Alberto Villanueva Marcos, Regina G. H. Beets‐Tan et al.
2025 · 7 Zit.
Oncology education in the age of artificial intelligence
Arsela Prelaj, Giovanna Scoazec, Dyke Ferber et al.
2024 · 7 Zit.