Browsing by Author "Duran, Valentina"

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    Implementing Artificial Intelligence in Physiotherapy Education: A Case Study on the Use of Large Language Models (LLM) to Enhance Feedback
    (2024) Villagran, Ignacio; Hernandez, Rocio; Schuit, Gregory; Neyem, Andres; Fuentes-Cimma, Javiera; Miranda, Constanza; Hilliger, Isabel; Duran, Valentina; Escalona, Gabriel; Varas, Julian
    This article presents a controlled case study focused on implementing and using generative artificial intelligence, specifically large language models (LLMs), in physiotherapy education to assist instructors with formulating effective technology-mediated feedback for students. It outlines how these advanced technologies have been integrated into an existing feedback-oriented platform to guide instructors in providing feedback inputs and establish a reference framework for future innovations in practical skills training for health professions education. Specifically, the proposed solution uses LLMs to automatically evaluate feedback inputs made by instructors based on predefined and literature-based quality criteria and generates actionable textual explanations for reformulation. In addition, if the instructor requires, the tool supports summary generation for large sets of text inputs to achieve better student reception and understanding. The case study describes how these features were integrated into the feedback-oriented platform, how their effectiveness was evaluated in a controlled setting with documented feedback inputs, and the results of its implementation with real users through cognitive walkthroughs. Initial results indicate that this innovative implementation holds great potential to enhance learning and performance in physiotherapy education and has the potential to expand to other health disciplines where the development of procedural skills is critical, offering a valuable tool to assess and improve feedback based on quality standards for effective feedback processes. The cognitive walkthroughs allowed us to determine participants' usability decisions in the face of these new features and to evaluate the perceived usefulness, how this would integrate into their workload, and their opinion regarding the potential for the future within this teaching strategy. This article concludes with a discussion of the implications of these findings for practice and future research directions in this developing field.
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    Prevalence, Indications, and Complications of Conversional Surgery After Vertical Banded Gastroplasty: A MBSAQIP Analysis
    (2024) Barajas-Gamboa, Juan S.; Duran, Valentina; Romero-Velez, Gustavo; Mocanu, Valentin; Lee, Yung; Corcelles, Ricard; Allemang, Matthew; Strong, Andrew T.; Navarrete, Salvador; Rodriguez, John; Kroh, Matthew; Dang, Jerry T.
    Purpose Vertical banded gastroplasty (VBG) was once the most popular bariatric procedure in the 1980's, with many patients subsequently requiring conversional surgery. However, knowledge regarding the prevalence and outcomes of these procedures remains limited. This study aims to determine the prevalence, indications, rate of 30-day serious complications, and mortality of conversional surgery after VBG. Materials and Methods A retrospective analysis of the MBSAQIP database from 2020 to 2022 was conducted. Individuals undergoing conversional or revisional surgery after VBG were included. The primary outcomes were 30-day serious complications and mortality. Results Of 716 VBG conversions, the common procedures included 660 (92.1%) Roux-en-Y gastric bypass (RYGB) and 56 (7.9%) sleeve gastrectomy (SG). The main indication for conversion was weight gain for RYGB (31.0%) and for SG (41.0%). RYGB had longer operative times than SG (223.7 vs 130.5 min, p < 0.001). Although not statistically significant, serious complications were higher after RYGB (14.7% vs 8.9%, p = 0.2). Leak rates were higher after SG (5.4 vs 3.5%) but this was not statistically significant (p = 0.4). Mortality was similar between RYGB and SG (1.2 vs 1.8%, p = 0.7). Multivariable regression showed higher body mass index, longer operative time, previous cardiac surgery and black race were independently associated with serious complications. Conversion to RYGB was not predictive of serious complications compared to SG (OR 0.96, 95%CI 0.34-2.67, p = 0.9). Conclusions Conversional surgery after VBG is uncommon, and the rate of complications and mortality remains high. Patients should be thoroughly evaluated and informed about these risks before undergoing conversion from VBG.