Introduction: This study compared the subjective measurement of difference between the nasal tip and supra tip (TSD) (using eyes) versus objective measurement of TSD (by a ruler) during rhinoplastic surgery to determine the accuracy of subjective measurements among surgeons with varying degrees of experience.
Materials And Methods: In this analytical observational study, 40 cosmetic rhinoplasty candidates were involved. Those with the history of rhinoplastic surgery were excluded from the study. At the end of the operation, the surgeon was asked to estimate the TSD subjectively. The researcher, without the intervention of the surgeon, remeasured TSD by a presterile ruler. The researcher recorded both objective and subjective TSD measurements and the experience of the surgeon in rhinoplasty in the checklist.
Result: Of 40 cosmetic rhinoplasty candidates, 17 were operated by a surgeon with >10 years' experience (group 1), and 23 by a surgeon with <5 years' experience (group 2). The results indicated that 5 surgeries (29.4%) in group 1 and 6 surgeries (26.1%) in group 2, had 0-mm difference in subjective and objective measurement. The difference of <1 mm between subjective and objective measurement was achieved in 13 surgeries (76.5%) in group 1 and 13 surgeries (56.5%) in group 2 (P = 0.191).
Conclusion: According to the results, it can be concluded that the surgeon's experience is effective in reducing the differences in measurements of TSD in both measurement modes.
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http://dx.doi.org/10.1097/SCS.0000000000005283 | DOI Listing |
J Voice
January 2025
Division of Phoniatrics and Pediatric Audiology at the Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany.
Objectives: This study investigates the use of sustained phonations recorded during high-speed videoendoscopy (HSV) for machine learning-based assessment of hoarseness severity (H). The performance of this approach is compared with conventional recordings obtained during voice therapy to evaluate key differences and limitations of HSV-derived acoustic recordings.
Methods: A database of 617 voice recordings with a duration of 250 ms was gathered during HSV examination (HS).
J Med Internet Res
December 2024
Guangzhou Cadre and Talent Health Management Center, Guangzhou, China.
Background: Large language models have shown remarkable efficacy in various medical research and clinical applications. However, their skills in medical image recognition and subsequent report generation or question answering (QA) remain limited.
Objective: We aim to finetune a multimodal, transformer-based model for generating medical reports from slit lamp images and develop a QA system using Llama2.
PLoS One
January 2025
Logistics service company, Civil Aviation Flight University of China, Guanghan, Sichuan, China.
The risk assessment and prevention in traditional airport safety assurance usually rely on human experience for analysis, and there are problems such as heavy manual workload, excessive subjectivity, and significant limitations. This article proposed a risk assessment and prevention mechanism for airport security assurance that integrated LSTM algorithm. It analyzed the causes of malfunctioning flights by collecting airport flight safety log datasets.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
The Graduate Center, CUNY, New York, NY, USA.
Background: Judgment is an aspect of executive functioning that is critical to many aspects of daily functioning, and often affected in older adults with cognitive decline. The Test of Practical Judgement (TOP-J) evaluates judgment related real-world issues that may arise in aging populations. The current study investigates the incremental validity of the TOP-J-i.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Georgia State University, Atlanta, GA, USA.
Background: Beginning new Alzheimer's disease (AD) treatments before AD symptoms are prominent would optimize the benefits of these disease slowing treatments. To accomplish this goal, clinicians must identify measures of early disease progression. As a step in doing this, we set out to characterize the relationships between cognitive complaints, wellbeing, cognitive performance, and metacognitive calibration in older adults in order to inform a model of cognition in typical older adults.
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