i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto

Sharing Biomedical Data: Strengthening AI Development in Healthcare

Tânia Pereira, Joana Morgado, Francisco Silva et al.

2021 · 50 Zit.

Artificial intelligence in tuberculosis: a new ally in disease control

M. McClean, Traian Constantin Panciu, Christoph Lange et al.

2024 · 12 Zit.

The digital revolution in pathology: Towards a smarter approach to research and treatment

Francesco Tucci, Arvydas Laurinavičius, Jakob Nikolas Kather et al.

2024 · 6 Zit.

Best Practices and Checklist for Reviewing Artificial Intelligence-Based Medical Imaging Papers: Classification

Timothy L. Kline, Felipe Kitamura, Daniel Warren et al.

2025 · 3 Zit.

Teaching AI for Radiology Applications: A Multisociety‑Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

Felipe Kitamura, Timothy L. Kline, Daniel Warren et al.

2025 · 2 Zit.

Unveiling the Algorithm: The Role of Explainable Artificial Intelligence in Modern Surgery

Sara Lopes, Miguel Mascarenhas, João Fonseca et al.

2025 · 1 Zit.

Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

Felipe Kitamura, Timothy L. Kline, Daniel Warren et al.

2025 · 1 Zit.

PO:13:338 A Multilingual Artificial Intelligence Tool That Provides Quality Evidence-Based Information on Lupus for Patients (LupusGPT)

Z. Karakikla-Mitsakou, Alain Cornet, Jeanette Andersen et al.

2026 · 0 Zit.

How useful is ChatGPT in answering point-of-care questions in primary care?

Filipe Prazeres

2025 · 0 Zit.

Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

Felipe Kitamura, Timothy L. Kline, Daniel Warren et al.

2025 · 0 Zit.