Poznan University of Medical Sciences
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Telehealth and Artificial Intelligence Insights into Healthcare during the COVID-19 Pandemic
Dina M. El‐Sherif, Mohamed Abouzid, Mohamed Tarek Elzarif et al.
2022 · 115 Zit.
When science goes viral: The research response during three months of the COVID-19 outbreak
Joanna Nowakowska, Joanna Sobocińska, Mateusz Lewicki et al.
2020 · 87 Zit.
Deep Learning Approaches in Histopathology
Alhassan Ali Ahmed, Mohamed Abouzid, Elżbieta Kaczmarek
2022 · 68 Zit.
From multisource data to clinical decision aids in radiation oncology: The need for a clinical data science community
Joanna Kaźmierska, Andrew Hope, Emiliano Spezi et al.
2020 · 37 Zit.
Plan quality assessment in clinical practice: Results of the 2020 ESTRO survey on plan complexity and robustness
Laura Patricia Kaplan, Lorenzo Placidi, Anna Bäck et al.
2022 · 35 Zit.
To trust or not to trust: evaluating the reliability and safety of AI responses to laryngeal cancer queries
Magdalena Ostrowska, Paulina Kacała, Deborah Onolememen et al.
2024 · 24 Zit.
The potential of ChatGPT in medicine: an example analysis of nephrology specialty exams in Poland
Jan Nicikowski, Mikołaj Szczepański, Miłosz Miedziaszczyk et al.
2024 · 21 Zit.
Clinical applications of artificial intelligence in cardiology on the verge of the decade
Konrad Pieszko, Jarosław Hiczkiewicz, Jan Budzianowski et al.
2020 · 17 Zit.
Artificial intelligence and health-related data: The patient’s best interest and data ownership dilemma
Arkadiusz Dziedzic, Julien Issa, Akhilanand Chaurasia et al.
2024 · 14 Zit.
The Limitations of Artificial Intelligence in Head and Neck Oncology
Karthik Rao, Verónica Fernández‐Álvarez, Orlando Guntinas‐Lichius et al.
2025 · 13 Zit.
Accuracy of Artificial Intelligence for Cervical Vertebral Maturation Assessment—A Systematic Review
Wojciech Kazimierczak, Maciej Jedliński, Julien Issa et al.
2024 · 10 Zit.
Perception of Pathologists in Poland of Artificial Intelligence and Machine Learning in Medical Diagnosis—A Cross-Sectional Study
Alhassan Ali Ahmed, Agnieszka Brychcy, Mohamed Abouzid et al.
2023 · 10 Zit.
Performance of GPT-4o and DeepSeek-R1 in the Polish Infectious Diseases Specialty Exam
Zuzanna Błecha, Dawid Jasiński, Aleksander Jaworski et al.
2025 · 9 Zit.
Endoluminal larynx anatomy model – towards facilitating deep learning and defining standards for medical images evaluation with artificial intelligence algorithms
Piotr Nogal, Mikołaj Buchwald, Michalina Staśkiewicz et al.
2022 · 7 Zit.
Rise of the machines: trends and challenges of implementing AI in biomedical scientific writing
Michał Fornalik, Magdalena Makuch, Anna Lemanska et al.
2024 · 7 Zit.