University of Turin
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The role of artificial intelligence in healthcare: a structured literature review
Silvana Secinaro, Davide Calandra, Aurelio Secinaro et al.
2021 · 1.006 Zit.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 461 Zit.
Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery
Shane O’Sullivan, Nathalie Nevejans, Colin Allen et al.
2018 · 410 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.
Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data
Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini et al.
2020 · 221 Zit.
Artificial intelligence and neural networks in urology: current clinical applications
Enrico Checcucci, Riccardo Autorino, Giovanni Cacciamani et al.
2020 · 145 Zit.
Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach
Leonardo Tanzi, Enrico Vezzetti, Rodrigo Moreno et al.
2020 · 103 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.
Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches
Adane Nega Tarekegn, Fulvio Ricceri, Giuseppe Costa et al.
2020 · 95 Zit.
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging
Lubomir M. Hadjiiski, Kenny Cha, Heang‐Ping Chan et al.
2022 · 88 Zit.
Vision Transformer for femur fracture classification
Leonardo Tanzi, Andrea Audisio, Giansalvo Cirrincione et al.
2022 · 86 Zit.
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
Elvio Gilberto Amparore, Alan Perotti, Paolo Bajardi
2021 · 84 Zit.
Accuracy and Completeness of ChatGPT-Generated Information on Interceptive Orthodontics: A Multicenter Collaborative Study
Arjeta Hatia, Tiziana Doldo, Stefano Parrini et al.
2024 · 76 Zit.
Is ChatGPT an Effective Tool for Providing Dietary Advice?
Valentina Ponzo, Ilaria Goitre, Enrica Favaro et al.
2024 · 75 Zit.
Ethical implications of AI in robotic surgical training: A Delphi consensus statement
Justin Collins, Hani J. Marcus, Ahmed Ghazi et al.
2021 · 69 Zit.