Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …

Artificial intelligence (AI) has been growing more powerful and accessible, and will
increasingly impact many areas, including virtually all aspects of medicine and biomedical …

Overgrowth disorders comprise a group of entities with a variable phenotypic spectrum
ranging from tall stature to isolated or lateralized overgrowth of body parts and or organs …

The most important factor that complicates the work of dysmorphologists is the significant
phenotypic variability of the human face. Next-Generation Phenotyping (NGP) tools that …

This article will provide a perspective review of the most extensively investigated deep
learning (DL) applications for musculoskeletal disease detection that have the best potential …

Background Acromesomelic chondrodysplasias are a rare subgroup of the clinically and
genetically heterogeneous osteochondrodysplasias that are characterised by abnormalities …

Background Bone age assessment assists physicians in evaluating the growth and
development of children. However, deep learning methods for bone age estimation do not …

Introducción Las enfermedades huérfanas (EH) son raras, pero colectivamente comunes,
presentan desafíos como diagnósticos tardíos, progresión de la enfermedad y escasa oferta …

Bone age assessment plays a critical role in diagnosing growth disorders and identifying
developmental milestones, providing guidance for the timing of various clinical interventions …

The paper takes a practical approach to estimating the bone age of children and young
adults based on hand radiography, by constructing an end-to-end pipeline that involves …