Publications by authors named "J M Hsu"

Purpose: To illustrate a technique for the removal of subretinal gas via pars plana vitrectomy (PPV) with air-fluid exchange and simultaneous manipulation with scleral depression.

Methods: PPV to remove subretinal gas causing persistent macula-off retinal detachment was performed in one eye, and the results were evaluated in this case report. Ports were carefully placed to avoid puncturing the retina, which was significantly displaced anteriorly past the ora serrata due to the buoyancy of the subretinal gas with the patient in a supine position.

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Article Synopsis
  • The study investigates using artificial intelligence, specifically deep learning models (DLMs), to accurately identify radiographic landmarks before and after shoulder arthroplasty, which is typically a tedious manual process.
  • A total of 240 anteroposterior radiographs were annotated, creating a dataset that trained the DLM to achieve a mean deviation of only 1.9 mm when comparing DLM-identified landmarks to those identified by surgeons.
  • The DLM demonstrated promise in efficiently analyzing radiographs with minimal human error, suggesting it could significantly aid in the evaluation of shoulder surgeries while also improving the reliability of measurements related to glenohumeral relationships.
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Background: Clinically important improvement after total shoulder arthroplasty is often assessed with shoulder-specific patient-reported outcome measures (PROMs) quantifying reduction in pain and restoration in function. It is unclear if commonly utilized threshold such as minimal clinically important difference (MCID), substantial clinical benefit (SCB), or patient acceptable symptom state (PASS), represent optimal improvement from the patients' perspective. The objectives of this study were to utilize the Simple Shoulder Test to: 1) compare commonly utilized thresholds for change in score and final score to thresholds optimized to patient satisfaction using receiver operative characteristic (ROC) curve analysis, and 2) determine the impact of using different thresholds on reporting of independent predictors of successful outcome in terms of patient satisfaction.

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