AZ Sint-Jan

Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation

Nilakash Das, Sofie Happaerts, Iwein Gyselinck et al.

2023 · 43 Zit.

Beyond the stereotypes: Artificial Intelligence image generation and diversity in anesthesiology

Mia Gisselbaek, Laurens Minsart, Ekin Köselerli et al.

2024 · 17 Zit.

International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery

Mohammad Kermansaravi, Sonja Chiappetta, Shahab Shahabi Shahmiri et al.

2025 · 12 Zit.

Phenotype clustering of hospitalized high-risk patients with COVID-19 — a machine learning approach within the multicentre, multinational PCHF-COVICAV registry

Mateusz Sokolski, Sander Trenson, Konrad Reszka et al.

2024 · 4 Zit.

Human Expertise in an AI-Collaborative Peer-Review Process

Janine Overcash

2025 · 1 Zit.

R0, the new grail — how multimodal molecular imaging, mixed reality, and artificial intelligence contribute to 100% effective surgery

Thomas Wendler, Bieke Lambert, John R. Orozco Cortés

2026 · 0 Zit.

Expertise Is the Special Sauce That Makes Using AI an Essential Tool in Academics

Janine Overcash

2025 · 0 Zit.

In Reply

F.O. Andriola, Yves Weinberg, Laury Grosjean et al.

2024 · 0 Zit.