Background: The last few years have been characterized by increasing numbers of reverse shoulder arthroplasties. In addition to the classic indication of cuff tear arthropathy, the use for complex proximal humeral fractures (PHFs) and rotator cuff tear (RCT) in very old patients have been established. The objective of this study is to clarify and substantiate the above statements specifically for Germany (based on official data from 2010 to 2022).
View Article and Find Full Text PDFIntroduction: The purpose of this study was to evaluate the perspectives of aspiring orthopaedic surgeons on artificial intelligence (AI), analysing how gender, AI knowledge, and technical inclination influence views on AI. Additionally, the extent to which recent AI advancements sway career decisions was assessed.
Materials And Methods: A digital survey was distributed to student members of orthopaedic societies across Germany, Switzerland, and Austria.
Purpose: The purpose of this study was to evaluate the perspective of orthopaedic surgeons on the impact of artificial intelligence (AI) and to evaluate the influence of experience, workplace setting and familiarity with digital solutions on views on AI.
Methods: Orthopaedic surgeons of the AGA Society for Arthroscopy and Joint Surgery were invited to participate in an online, cross-sectional survey designed to gather information on professional background, subjective AI knowledge, opinion on the future impact of AI, openness towards different applications of AI, and perceived advantages and disadvantages of AI. Subgroup analyses were performed to examine the influence of experience, workplace setting and openness towards digital solutions on perspectives towards AI.