Humanitas University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
Martina Sollini, Lidija Antunovic, Arturo Chiti et al.
2019 · 253 Zit.
Experimental evidence of effective human–AI collaboration in medical decision-making
Carlo Reverberi, Tommaso Rigon, Aldo Solari et al.
2022 · 177 Zit.
Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review
Robin Borchert, Tiago Azevedo, AmanPreet Badhwar et al.
2023 · 91 Zit.
Comparative analysis of large language models in the Royal College of Ophthalmologists fellowship exams
Raffaele Raimondi, Nikolaos Tzoumas, Thomas Salisbury et al.
2023 · 83 Zit.
Accuracy, Reliability, and Comprehensibility of ChatGPT-Generated Medical Responses for Patients With Nonalcoholic Fatty Liver Disease
Nicola Pugliese, Vincent Wai‐Sun Wong, Jörn M. Schattenberg et al.
2023 · 81 Zit.
Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method
Omer F. Ahmad, Yuichi Mori, Masashi Misawa et al.
2020 · 67 Zit.
Artificial intelligence and hybrid imaging: the best match for personalized medicine in oncology
Martina Sollini, Francesco Bartoli, Andrea Marciano et al.
2020 · 67 Zit.
Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology
Cesare Lancellotti, Pierandrea Cancian, Victor Savevski et al.
2021 · 58 Zit.
Reproducibility of radiomics quality score: an intra- and inter-rater reliability study
Tugba Akinci D’Antonoli, Armando Ugo Cavallo, Federica Vernuccio et al.
2023 · 48 Zit.
Optimizing large language models in digestive disease: strategies and challenges to improve clinical outcomes
Mauro Giuffrè, Simone Kresevic, Nicola Pugliese et al.
2024 · 47 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.
Performance of ChatGPT on the Situational Judgement Test—A Professional Dilemmas–Based Examination for Doctors in the United Kingdom
Robin Borchert, Charlotte R Hickman, J. Pepys et al.
2023 · 39 Zit.
Artificial Intelligence and Cardiovascular Risk Prediction: All That Glitters is not Gold
Mauro Chiarito, Luca Luceri, Angelo Oliva et al.
2022 · 37 Zit.
Opportunities and Challenges of Synthetic Data Generation in Oncology
Flavia Jacobs, Saverio D’Amico, C. Benvenuti et al.
2023 · 35 Zit.
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients
Himanshi Allahabadi, Julia Amann, Isabelle Balot et al.
2022 · 35 Zit.