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Background and purpose: Artificial intelligence-based contouring tools enable assessment of radiation doses to cardiac substructures beyond mean heart dose. This study examined inter-solution variations in raw contours a...

Automatic movement recognition is often used to support various fields such as clinical, sports, and security. To date, there is a lack of a classification feature that is both interpretable and not movement-specific. Pr...

Introduction: The integration of artificial intelligence (AI) in clinical decision-making has the potential to enhance patient understanding and confidence in treatment choices. This study evaluates the impact of an AI-b...

The integration of artificial intelligence (AI) into human-robot interaction (HRI) in healthcare has fundamentally revolutionized the emotional, social, and cognitive interaction between humans and robotic systems. This ...

Background and Purpose: Insufficient documentation of artificial intelligence (AI) models remains a widespread issue, which hampers reproducibility in research environments and safe integration in clinical departments. O...

Introduction and aims: Oral and maxillofacial surgery (OMFS) produces complex clinical data, while artificial intelligence (AI) applications in this field remain limited despite great potential. This study aimed to map t...

Background: Accurate prediction of facial aesthetics after orthodontic treatment is crucial for clinical planning, yet traditional methodologies often lack the required accuracy and realism. We introduce a novel generati...

Resumen: El cáncer de próstata (CaP) es uno de los tumores más frecuentes y una causa importante de mortalidad masculina. El uso rutinario del antígeno prostático específico (APE) ha permitido disminuir la mortalid...