Results 201 to 210 of about 155,552 (261)

Imageless and image‐based robotic‐assisted total knee arthroplasty achieve equivalent radiographic accuracy: A randomised controlled trial

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Robotic‐assisted total knee arthroplasty systems offer both image‐based and imageless workflows, but their comparative accuracy remains unclear. The robotic surgical assistant (ROSA) system uniquely provides both approaches within a single platform.
Rapeepat Narkbunnam   +5 more
wiley   +1 more source

Younger age doubles medium‐term revision risk after total knee arthroplasty: A nationwide multicenter cohort of 5980 knees from the French SCORE I registry

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Although age is a known predictor of outcomes following total knee arthroplasty (TKA), most large‐scale studies rely on registry data that lack clinical detail and combines multiple implant designs. This study aimed to determine whether age has an independent effect on implant survivorship and clinical outcomes when a single TKA design
Alessandro Carrozzo   +5 more
wiley   +1 more source

Reduced postoperative inflammation and blood loss after robotic arm‐assisted unicompartmental compared with total knee arthroplasty: A propensity score‐matched analysis

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Robotic arm‐assisted unicompartmental knee arthroplasty (raUKA) offers potential advantages over robotic arm‐assisted total knee arthroplasty (raTKA), but its biological benefits remain unclear. Superior early recovery after raUKA may be related to reduced systemic inflammation and blood loss.
Dirk Müller   +6 more
wiley   +1 more source

Machine learning based quantitative pain assessment for the perioperative period. [PDF]

open access: yesNPJ Digit Med
Ryu G   +6 more
europepmc   +1 more source

Gemini 1.5 Flash provides the most reliable content while ChatGPT‐4o offers the highest readability for patient education on meniscal tears

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The aim of this study was to comparatively evaluate the responses generated by three advanced artificial intelligence (AI) models, ChatGPT‐4o (OpenAI), Gemini 1.5 Flash (Google) and DeepSeek‐V3, to frequently asked patient questions about meniscal tears in terms of reliability, usefulness, quality, and readability.
Başar Burak Çakmur   +4 more
wiley   +1 more source

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