Politecnico di Milano
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Challenges and recommendations for wearable devices in digital health: Data quality, interoperability, health equity, fairness
Stefano Canali, Viola Schiaffonati, Andréa Aliverti
2022 · 273 Zit.
Twenty-Eighth AAAI Conference on Artificial Intelligence
Nicola Gatti, Marco Rocco, Sofia Ceppi et al.
2014 · 184 Zit.
Artificial intelligence for brain diseases: A systematic review
Alice Segato, Aldo Marzullo, Francesco Calimeri et al.
2020 · 156 Zit.
Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation
Bernardo Camajori Tedeschini, Stefano Savazzi, Roman Stoklasa et al.
2022 · 144 Zit.
How Explainability Contributes to Trust in AI
Andrea Ferrario, Michele Loi
2022 · 117 Zit.
“Deep-Onto” network for surgical workflow and context recognition
Hirenkumar Nakawala, Roberto Bianchi, Laura Erica Pescatori et al.
2018 · 71 Zit.
Artificial Intelligence, Computational Simulations, and Extended Reality in Cardiovascular Interventions
Saurabhi Samant, Jules Joel Bakhos, Wei Wu et al.
2023 · 69 Zit.
Artificial intelligence for prediction of treatment outcomes in breast cancer: Systematic review of design, reporting standards, and bias
Chiara Corti, Marisa Cobanaj, Federica Marian et al.
2022 · 55 Zit.
Artificial intelligence in medical device software and high-risk medical devices – a review of definitions, expert recommendations and regulatory initiatives
Alan G. Fraser, Elisabetta Biasin, Bart Bijnens et al.
2023 · 54 Zit.
Dissecting self-supervised learning methods for surgical computer vision
Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt et al.
2023 · 54 Zit.
Artificial Intelligence in Clinical Oncology: From Data to Digital Pathology and Treatment
Kirthika Senthil Kumar, V. Miskovic, Agata Blasiak et al.
2023 · 51 Zit.
Artificial Intelligence and Project Management: Empirical Overview, State of the Art, and Guidelines for Future Research
Ralf Müller, Giorgio Locatelli, Vered Holzmann et al.
2024 · 47 Zit.
Opening the black box of machine learning in radiology: can the proximity of annotated cases be a way?
Giuseppe Baselli, Marina Codari, Francesco Sardanelli
2020 · 47 Zit.
Learning to Prompt in the Classroom to Understand AI Limits: A Pilot Study
Emily Theophilou, Cansu Koyutürk, Mona Yavari et al.
2023 · 46 Zit.
Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI
Margarita Kirienko, Martina Sollini, Gaia Ninatti et al.
2021 · 44 Zit.