OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 16.05.2026, 09:13

University of Naples Federico II

147.723 Arbeiten11.907.545 Zitationen
Land: ITTyp: education

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Burak Koçak, Bettina Baeßler, Spyridon Bakas et al.

2023 · 404 Zit.

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.

2024 · 255 Zit.

Machine Learning in oncology: A clinical appraisal

Renato Cuocolo, Martina Caruso, Teresa Perillo et al.

2020 · 224 Zit.

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

Tugba Akinci D’Antonoli, Arnaldo Stanzione, Christian Bluethgen et al.

2023 · 199 Zit.

The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic

Francesco Piccialli, Vincenzo Schiano Di Cola, Fabio Giampaolo et al.

2021 · 140 Zit.

Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

Burak Koçak, Andrea Ponsiglione, Arnaldo Stanzione et al.

2024 · 124 Zit.

Accuracy of ChatGPT‐Generated Information on Head and Neck and Oromaxillofacial Surgery: A Multicenter Collaborative Analysis

Luigi Angelo Vaira, Jérôme R. Lechien, Vincenzo Abbate et al.

2023 · 118 Zit.

Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative

Gaia Spadarella, Arnaldo Stanzione, Tugba Akinci D’Antonoli et al.

2022 · 112 Zit.

Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA

Giuseppe Muscogiuri, Mattia Chiesa, Michela Trotta et al.

2019 · 99 Zit.

Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy

Michele Avanzo, M. Porzio, Leda Lorenzon et al.

2021 · 98 Zit.

Machine Learning and Lean Six Sigma to Assess How COVID-19 Has Changed the Patient Management of the Complex Operative Unit of Neurology and Stroke Unit: A Single Center Study

Giovanni Improta, Anna Borrelli, Maria Triassi

2022 · 79 Zit.

Artificial intelligence, drug repurposing and peer review

Jeremy M. Levin, Tudor I. Oprea, Sagie Davidovich et al.

2020 · 77 Zit.

CT and MRI radiomics of bone and soft-tissue sarcomas: a systematic review of reproducibility and validation strategies

Salvatore Gitto, Renato Cuocolo, Domenico Albano et al.

2021 · 74 Zit.

Validation of the Quality Analysis of Medical Artificial Intelligence (QAMAI) tool: a new tool to assess the quality of health information provided by AI platforms

Luigi Angelo Vaira, Jérôme R. Lechien, Vincenzo Abbate et al.

2024 · 65 Zit.

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning

Burak Koçak, Renato Cuocolo, Daniel Santos et al.

2022 · 59 Zit.