Guillermo Droppelmann, Constanza Rodríguez, Carlos Jorquera, Felipe Feijoo
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Artificial intelligence in diagnosing upper limb musculoskeletal disorders: a systematic review and meta-analysis of diagnostic tests.
The integration of artificial intelligence (AI) in radiology has revolutionized diagnostics, optimizing precision and decision-making. Specifically in musculoskeletal imaging, AI tools can improve accuracy for upper extremity pathologies. This study aimed to assess the diagnostic performance of AI models in detecting musculoskeletal pathologies of the upper extremity using different imaging modalities.
期刊介绍：
EFORT Open Reviews publishes high-quality instructional review articles across the whole field of orthopaedics and traumatology. Commissioned, peer-reviewed articles from international experts summarize current knowledge and practice in orthopaedics, with the aim of providing systematic coverage of the field. All articles undergo rigorous scientific editing to ensure the highest standards of accuracy and clarity.
This continuously published online journal is fully open access and will provide integrated CME. It is an authoritative resource for educating trainees and supports practising orthopaedic surgeons in keeping informed about the latest clinical and scientific advances.
One print issue containing a selection of papers from the journal will be published each year to coincide with the EFORT Annual Congress.
EFORT Open Reviews is the official journal of the European Federation of National Associations of Orthopaedics and Traumatology (EFORT) and is published in partnership with The British Editorial Society of Bone & Joint Surgery.
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