Abstract:The present study aimed to investigate the effect of implementing rehabilitation programs using an Augmented Reality (AR) coupled pamphlet on the Quality of Life (QOL) of patients with face/neck burns. This randomized clinical trial was conducted on 60 patients (intervention=30, control=30) admitted to the burn center of Imam Reza Hospital, Mashhad, Iran. Patients in the intervention group, performed their rehabilitation program using AR coupled pamphlet during six weeks, while control patients used simple pam… Show more
“… 46 – 48 ( Table 3 ) One study examined clinical outcomes of pulmonary function after knee surgery, 49 one study was among women recovering from breast cancer surgery, 50 one study of older women with sarcopenia, 51 and one patient with burns. 52 ( Table 4 ) Figure 1. Consort diagram.…”
Section: Resultsmentioning
confidence: 99%
“… 19 , 21 Between 2016 and 2023, 30 additional articles were published: 14 studies of chronic neurological patients, 10 , 31 – 39 , 41 – 44 ; eight studies of general adults, 12 , 18 , 22 – 27 ; four studies of orthopedic patients, 45 – 48 ; one study of pulmonary function among surgical patients, 49 ; one study of patients recovering from breast cancer surgery, 50 ; one study of older women with sarcopenia, 51 ; and one study of patients with burns. 52 Of the 30 studies, 14 were published between 2022–2023. 12 , 23 , 27 , 37 , 39 , 43 – 50 , 52 The four studies of orthopedic populations 45 – 48 were published since 2022 as were the study of patients with burns and breast cancer.…”
Section: Resultsmentioning
confidence: 99%
“… 52 Of the 30 studies, 14 were published between 2022–2023. 12 , 23 , 27 , 37 , 39 , 43 – 50 , 52 The four studies of orthopedic populations 45 – 48 were published since 2022 as were the study of patients with burns and breast cancer. 50 , 52 Figure 2.…”
Section: Resultsmentioning
confidence: 99%
“… 12 , 23 , 27 , 37 , 39 , 43 – 50 , 52 The four studies of orthopedic populations 45 – 48 were published since 2022 as were the study of patients with burns and breast cancer. 50 , 52 Figure 2. Number of articles published by year.…”
Augmented reality is increasingly used in health care, yet little is known about how AR is being used in physical therapy practice and what clinical outcomes could occur with technology use. In this scoping review, a broad literature review was conducted to gain an understanding of current knowledge of AR use and outcomes in physical therapy practice. A structured literature search of articles published between 2000 to September 2023 that examined the use of AR in a physical therapy context was conducted. Reference lists of articles for full review were searched for additional studies. Data from articles meeting inclusion criteria were extracted and synthesized across studies. 549 articles were identified; 40 articles met criteria for full review. Gait and balance of neurological and older adult populations were most frequently targeted, with more recent studies including orthopedic and other populations. Approximately half were pilot or observational studies and half are experimental. Many studies found within group improvements. Of studies reporting between group differences, AR interventions were more effective in improving function almost half of the time, with 20%, 27% and 28% showing efficacy in disability, balance, and gait outcomes. AR in physical therapy holds promise; however, efficacy outcomes are unclear.
“… 46 – 48 ( Table 3 ) One study examined clinical outcomes of pulmonary function after knee surgery, 49 one study was among women recovering from breast cancer surgery, 50 one study of older women with sarcopenia, 51 and one patient with burns. 52 ( Table 4 ) Figure 1. Consort diagram.…”
Section: Resultsmentioning
confidence: 99%
“… 19 , 21 Between 2016 and 2023, 30 additional articles were published: 14 studies of chronic neurological patients, 10 , 31 – 39 , 41 – 44 ; eight studies of general adults, 12 , 18 , 22 – 27 ; four studies of orthopedic patients, 45 – 48 ; one study of pulmonary function among surgical patients, 49 ; one study of patients recovering from breast cancer surgery, 50 ; one study of older women with sarcopenia, 51 ; and one study of patients with burns. 52 Of the 30 studies, 14 were published between 2022–2023. 12 , 23 , 27 , 37 , 39 , 43 – 50 , 52 The four studies of orthopedic populations 45 – 48 were published since 2022 as were the study of patients with burns and breast cancer.…”
Section: Resultsmentioning
confidence: 99%
“… 52 Of the 30 studies, 14 were published between 2022–2023. 12 , 23 , 27 , 37 , 39 , 43 – 50 , 52 The four studies of orthopedic populations 45 – 48 were published since 2022 as were the study of patients with burns and breast cancer. 50 , 52 Figure 2.…”
Section: Resultsmentioning
confidence: 99%
“… 12 , 23 , 27 , 37 , 39 , 43 – 50 , 52 The four studies of orthopedic populations 45 – 48 were published since 2022 as were the study of patients with burns and breast cancer. 50 , 52 Figure 2. Number of articles published by year.…”
Augmented reality is increasingly used in health care, yet little is known about how AR is being used in physical therapy practice and what clinical outcomes could occur with technology use. In this scoping review, a broad literature review was conducted to gain an understanding of current knowledge of AR use and outcomes in physical therapy practice. A structured literature search of articles published between 2000 to September 2023 that examined the use of AR in a physical therapy context was conducted. Reference lists of articles for full review were searched for additional studies. Data from articles meeting inclusion criteria were extracted and synthesized across studies. 549 articles were identified; 40 articles met criteria for full review. Gait and balance of neurological and older adult populations were most frequently targeted, with more recent studies including orthopedic and other populations. Approximately half were pilot or observational studies and half are experimental. Many studies found within group improvements. Of studies reporting between group differences, AR interventions were more effective in improving function almost half of the time, with 20%, 27% and 28% showing efficacy in disability, balance, and gait outcomes. AR in physical therapy holds promise; however, efficacy outcomes are unclear.
“…Treatment for burn injuries often includes wound cleaning, the application of topical medications, pain management, and, in some cases, surgical procedures like skin grafting to promote healing [ 4 ]. Additionally, rehabilitation and long-term care may be necessary for individuals with extensive burns to regain functionality and manage potential complications such as scarring, contractures, and emotional trauma [ 7 , 8 ]. Furthermore, burns occurring in specific delicate regions, such as the eyelids or penis, pose significant challenges for healthcare practitioners in terms of both treatment and care [ 9 ].…”
Background and Objectives: Burn injuries range from minor medical issues to severe, life-threatening conditions. The severity and location of the burn dictate its treatment; while minor burns might be treatable at home, severe burns necessitate medical intervention, sometimes in specialized burn centers with extended follow-up care. This study aims to leverage artificial intelligence (AI)/machine learning (ML) to forecast potential adverse effects in burn patients. Methods: This retrospective analysis considered burn patients admitted to Chi Mei Medical Center from 2010 to 2019. The study employed 14 features, comprising supplementary information like prior comorbidities and laboratory results, for building models for predicting graft surgery, a prolonged hospital stay, and overall adverse effects. Overall, 70% of the data set trained the AI models, with the remaining 30% reserved for testing. Three ML algorithms of random forest, LightGBM, and logistic regression were employed with evaluation metrics of accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). Results: In this research, out of 224 patients assessed, the random forest model yielded the highest AUC for predictions related to prolonged hospital stays (>14 days) at 81.1%, followed by the XGBoost (79.9%) and LightGBM (79.5%) models. Besides, the random forest model of the need for a skin graft showed the highest AUC (78.8%), while the random forest model and XGBoost model of the occurrence of adverse complications both demonstrated the highest AUC (87.2%) as well. Based on the best models with the highest AUC values, an AI prediction system is designed and integrated into hospital information systems to assist physicians in the decision-making process. Conclusions: AI techniques showcased exceptional capabilities for predicting a prolonged hospital stay, the need for a skin graft, and the occurrence of overall adverse complications for burn patients. The insights from our study fuel optimism for the inception of a novel predictive model that can seamlessly meld with hospital information systems, enhancing clinical decisions and bolstering physician–patient dialogues.
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