Results 171 to 180 of about 115,135 (216)

Borrelia and Genital Lichen Sclerosus: A Critical Review of the Evidence

open access: yesJEADV Clinical Practice, EarlyView.
ABSTRACT Background Lichen sclerosus (LSc) is a chronic inflammatory dermatosis that primarily affects the genitalia. Growing evidence supports chronic occlusive urine exposure as the principal pathogenic driver, though other mechanisms, including mechanical irritation, hormonal influences, autoimmunity, and infection, have been proposed.
Liang Zhi Wong   +4 more
wiley   +1 more source

Preserving scientific integrity in academic publishing: Navigating artificial intelligence, journal policies and the impact factor as a quality indicator

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract The integration of artificial intelligence (AI), the rise of mega‐journals, and the manipulation of impact factors present challenges to scientific integrity. These trends threaten the core principles of objectivity, reproducibility, and transparency.
Mahmut Enes Kayaalp   +12 more
wiley   +1 more source

Comparable outcomes and early revision rates between restricted and unrestricted functional knee positioning in robotic‐assisted total knee arthroplasty for varus deformities ≥10°

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Functional knee positioning (FKPos) in total knee arthroplasty (TKA) optimises outcomes by balancing individual anatomical and soft tissue characteristics. Managing marked varus deformity presents challenges in achieving balance when tibial alignment is restricted to 3° of varus, necessitating either medial soft tissue release or ...
Christos Koutserimpas   +6 more
wiley   +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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