The focus of this systematic search was to create an overview of all the different applications of the above-mentioned technologies in hand surgery-related areas. The articles met the inclusion criteria if they addressed the implementation of automation (mathematical modelling) or artificial intelligence in any hand surgery and rehabilitation-related area. Therefore, in the title review all articles not hand surgery and rehabilitation-related at all (e.g. "hand-and-foot disease" or "hand hygiene") were excluded. We did not restrict the search to automated fracture detection or fracture classification. The significance of AI paraphrasing tools has skyrocketed recently, especially in content creation, marketing, and academic writing. For content creators and marketers, these tools are a goldmine for generating unique and engaging content quickly and efficiently.
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Current state-of-the-art models are based on transformers such as the ClinicalBERT. Using this definition, we approached the task as a classification problem—for each word in a sentence, predict a label in [‘B’, ‘I’, ‘O’]. When there are multiple categories of concepts, a suffix was attached to ‘BIO’ for discrimination (e.g., ‘B-drug’, ‘I-drug’). Based on the representation generated by pretrained GatorTron models, we added a classification layer (a linear layer with softmax activation) to calculate a probability score for each ‘BIO’ category. We trained a unified classifier to extract all concepts for datasets without overlapped concepts.
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Therefore, their use in daily clinical routine is still limited. The implementation of artificial intelligence in hand surgery and rehabilitation is gaining popularity. The purpose of this scoping review was to give an overview of implementations of artificial intelligence in hand surgery and rehabilitation and their current significance in clinical practice. AI has been around since the 1950s and initially relied on being programmed by humans to perform tasks. By the 1990s, it shifted towards a more data-driven approach called machine learning.
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