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Poznan University of Medical Sciences

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Land: PLTyp: education

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Telehealth and Artificial Intelligence Insights into Healthcare during the COVID-19 Pandemic

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When science goes viral: The research response during three months of the COVID-19 outbreak

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Deep Learning Approaches in Histopathology

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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.

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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.

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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.