University Hospital Centre Zagreb
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment
Narendra N. Khanna, Mahesh Maindarkar, Vijay Viswanathan et al.
2022 · 307 Zit.
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.
2024 · 123 Zit.
Artificial intelligence in radiology
Luka Filipović-Grčić, Filip Đerke
2019 · 118 Zit.
Semi-automated detection of anterior cruciate ligament injury from MRI
Ivan Štajduhar, Mihaela Mamula, Damir Miletić et al.
2016 · 117 Zit.
Prevalence of Plagiarism in Recent Submissions to the Croatian Medical Journal
Ksenija Baždarić, Lidija Bilić-Zulle, Gordana Brumini et al.
2011 · 88 Zit.
Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging
Sergio Sanchez‐Martinez, Óscar Cámara, Gemma Piella et al.
2022 · 82 Zit.
Artificial Intelligence in Medicine and Dentistry
Marin Vodanović, Marko Subašić, Denis Milošević et al.
2023 · 76 Zit.
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans
Jasjit S. Suri, Sushant Agarwal, Gian Luca Chabert et al.
2022 · 58 Zit.
Using artificial intelligence to create diverse and inclusive medical case vignettes for education
Michiel J. Bakkum, Mariëlle G. Hartjes, Joost D. Piët et al.
2023 · 51 Zit.
Bridging healthcare gaps: a scoping review on the role of artificial intelligence, deep learning, and large language models in alleviating problems in medical deserts
Zdeslav Strika, Karlo Petković, Robert Likić et al.
2024 · 39 Zit.
Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence
Jasjit S. Suri, Anudeep Puvvula, Misha Majhail et al.
2020 · 35 Zit.
Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks
Ivan Lorencin, Sandi Baressi Šegota, Nikola Anđelić et al.
2021 · 28 Zit.
Machine learning-based prediction of massive perioperative allogeneic blood transfusion in cardiac surgery
Thomas Tschoellitsch, Carl Böck, Tina Tomić Mahečić et al.
2022 · 17 Zit.
Artificial Intelligence and Modern Technology in Dentistry: Attitudes, Knowledge, Use, and Barriers Among Dentists in Croatia—A Survey-Based Study
Ana Ivanišević Malčić, Antonija Tadin
2024 · 14 Zit.
Spotlight commentary: Integrating artificial intelligence in clinical pharmacology: Opportunities, challenges and ethical imperatives
Karlo Petković, Zdeslav Strika, Robert Likić et al.
2024 · 5 Zit.