Politecnico di Torino
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Hui Wen Loh, Chui Ping Ooi, Silvia Seoni et al.
2022 · 640 Zit.
Multi-modality approaches for medical support systems: A systematic review of the last decade
Massimo Salvi, Hui Wen Loh, Silvia Seoni et al.
2023 · 120 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 · 102 Zit.
X-Ray Bone Fracture Classification Using Deep Learning: A Baseline for Designing a Reliable Approach
Leonardo Tanzi, Enrico Vezzetti, Rodrigo Moreno et al.
2020 · 90 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, H. Kenny, Heang‐Ping Chan et al.
2022 · 85 Zit.
Vision Transformer for femur fracture classification
Leonardo Tanzi, Andrea Audisio, Giansalvo Cirrincione et al.
2022 · 79 Zit.
Artificial Intelligence, Computational Simulations, and Extended Reality in Cardiovascular Interventions
Saurabhi Samant, Jules Joel Bakhos, Wei Wu et al.
2023 · 69 Zit.
An evidence-based methodology for human rights impact assessment (HRIA) in the development of AI data-intensive systems
Alessandro Mantelero, Samantha Esposito
2021 · 50 Zit.
Humanizing AI in medical training: ethical framework for responsible design
Mohammed Tahri Sqalli, Begali Aslonov, Mukhammadjon Gafurov et al.
2023 · 46 Zit.
Soft Transducer for Patient’s Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection
Pasquale Arpaïa, Federica Crauso, Egidio De Benedetto et al.
2022 · 37 Zit.
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare
Massimo Salvi, Silvia Seoni, Andrea Campagner et al.
2025 · 34 Zit.
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing
Usman Mahmood, Amita Shukla‐Dave, Heang‐Ping Chan et al.
2024 · 31 Zit.
AI and machine learning in medical imaging: key points from development to translation
Ravi K. Samala, Karen Drukker, Amita Shukla‐Dave et al.
2024 · 20 Zit.
Deep Learning Algorithms for Automatic COVID-19 Detection on Chest X-Ray Images
Sergio Cannata, Annunziata Paviglianiti, Eros Pasero et al.
2022 · 19 Zit.
Information extraction from medical case reports using OpenAI InstructGPT
Veronica Sciannameo, Daniele Jahier Pagliari, Sara Urru et al.
2024 · 19 Zit.