Gdańsk Medical University

Acknowledging the use of human cadaveric tissues in research papers: Recommendations from anatomical journal editors

Joe Iwanaga, Vishram Singh, Aiji Ohtsuka et al.

2020 · 540 Zit.

Standardized statement for the ethical use of human cadaveric tissues in anatomy research papers: Recommendations from <i>Anatomical Journal</i><scp>Editors‐in‐Chief</scp>

Joe Iwanaga, Vishram Singh, Sén Takeda et al.

2022 · 251 Zit.

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.

2025 · 218 Zit.

The Role of 3D Printing in Planning Complex Medical Procedures and Training of Medical Professionals—Cross-Sectional Multispecialty Review

Jarosław Meyer-Szary, Marlon Souza Luis, Szymon Mikulski et al.

2022 · 197 Zit.

Artificial Intelligence in Dentistry—Narrative Review

Agata Ossowska, Aida Kusiak, Dariusz Świetlik

2022 · 173 Zit.

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.

2024 · 123 Zit.

ChatGPT-3.5 and ChatGPT-4 dermatological knowledge level based on the Specialty Certificate Examination in Dermatology

Miłosz Lewandowski, Paweł Łukowicz, Dariusz Świetlik et al.

2023 · 88 Zit.

The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists

Valerio Nardone, Federica Marmorino, Marco Maria Germani et al.

2024 · 44 Zit.

Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper

Luis Martí‐Bonmatí, Dow‐Mu Koh, Katrine Riklund et al.

2022 · 30 Zit.

Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach

Maciej Bobowicz, Marlena Rygusik, Jakub Buler et al.

2023 · 28 Zit.

Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial

Orit Kaidar‐Person, Marília Antunes, Jaime S. Cardoso et al.

2023 · 24 Zit.

Documenting the de-identification process of clinical and imaging data for AI for health imaging projects

Haridimos Kondylakis, R. Sanchís Catalán, Sara Martinez Alabart et al.

2024 · 17 Zit.

Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure

Luis Martí‐Bonmatí, Ignácio Blanquer, Manolis Tsiknakis et al.

2025 · 16 Zit.

Artificial Intelligence in Optimizing the Functioning of Emergency Departments; a Systematic Review of Current Solutions.

Aleksandra Szymczyk, Krion Robert, Krzyzaniak Klaudia et al.

2024 · 13 Zit.

Evaluating the accuracy and reliability of AI chatbots in patient education on cardiovascular imaging: a comparative study of ChatGPT, gemini, and copilot

Ahmed Marey, Abdelrahman M. Saad, Yousef Tanas et al.

2025 · 9 Zit.