Publications by authors named "Elizabeth Alderton"

Aim Osteoarthritis of the first metatarsophalangeal joint (MTPJ) is a common forefoot problem affecting patients in later years. It leads to pain, gait problems, and difficulty with activities of daily living. Treatment is controversial and varies according to patient symptoms and surgeon preference.

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Objective: Mental health is noted as a central indicator of academic success. This study explored the perceived mental health needs of nontraditional post-baccalaureate students and what may increase their abilities to meet these needs.

Participants: Participants (n = 79) were students at a mid-sized Midwestern university enrolled in identified nontraditional programs targeting students who previously obtained a bachelor's degree and nontraditional graduate students.

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Introduction: Modified Brostrom Gould (MBG) repair is widely accepted procedure for chronic lateral ankle instability (CLAI), but there are limitations with regards to strength of repair and risk of reinjury and complications. Internal brace has been recently used as augmentation of standard MBG repair. It provides stronger construct, facilitates early mobilisation and protects repaired ligament with minimal surgical morbidity.

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Aim: The aim of this study was to evaluate the efficacy and safety of a single, peri-tendinous injection of hyaluronic acid for mid-portion, non-insertional Achilles tendinopathy.

Materials And Methods: A prospective, open labelled, single center, pilot study was conducted. All patients enrolled received a single peri-tendinous injection of Ostenil Tendon™ (40 mg/2 ml 2% HA with 0.

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Background: Successful integrations of machine learning into routine clinical care are exceedingly rare, and barriers to its adoption are poorly characterized in the literature.

Objective: This study aims to report a quality improvement effort to integrate a deep learning sepsis detection and management platform, Sepsis Watch, into routine clinical care.

Methods: In 2016, a multidisciplinary team consisting of statisticians, data scientists, data engineers, and clinicians was assembled by the leadership of an academic health system to radically improve the detection and treatment of sepsis.

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