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Journal of Digital Imaging Oct 2022The separation of blood vessels in the retina is a major aspect in detecting ailment and is carried out by segregating the retinal blood vessels from the fundus images.... (Review)
Review
The separation of blood vessels in the retina is a major aspect in detecting ailment and is carried out by segregating the retinal blood vessels from the fundus images. Moreover, it helps to provide earlier therapy for deadly diseases and prevent further impacts due to diabetes and hypertension. Many reviews already exist for this problem, but those reviews have presented the analysis of a single framework. Hence, this article on retinal segmentation review has revealed distinct methodologies with diverse frameworks that are utilized for blood vessel separation. The novelty of this review research lies in finding the best neural network model by comparing its efficiency. For that, machine learning (ML) and deep learning (DL) were compared and have been reported as the best model. Moreover, different datasets were used to segment the retinal blood vessels. The execution of each approach is compared based on the performance metrics such as sensitivity, specificity, and accuracy using publically accessible datasets like STARE, DRIVE, ROSE, REFUGE, and CHASE. This article discloses the implementation capacity of distinct techniques implemented for each segmentation method. Finally, the finest accuracy of 98% and sensitivity of 96% were achieved for the technique of Convolution Neural Network with Ranking Support Vector Machine (CNN-rSVM). Moreover, this technique has utilized public datasets to verify efficiency. Hence, the overall review of this article has revealed a method for earlier diagnosis of diseases to deliver earlier therapy.
Topics: Humans; Algorithms; Fundus Oculi; Image Processing, Computer-Assisted; Neural Networks, Computer; Retina; Retinal Vessels
PubMed: 35508746
DOI: 10.1007/s10278-022-00640-9 -
Digital Health 2023Traditional interventions such as education and counseling are successful in increasing physical activity (PA) participation, but are usually labor and resource... (Review)
Review
BACKGROUND
Traditional interventions such as education and counseling are successful in increasing physical activity (PA) participation, but are usually labor and resource intensive. Wearable activity trackers can objectively record PA and provide feedback to help users to achieve activity goals and are an increasingly popular tool among adults used to facilitate self-monitoring of PA. However, no reviews systematically explored the roles of wearable activity trackers in older populations.
METHODS
We searched PubMed, Web of Science, Google Scholar, Embase, Cochrane Library, and Scopus from inception to September 10, 2022. Randomized controlled trials were included. Two reviewers independently conducted study selection, data extraction, risk of bias, and certainty of evidence assessment. A random-effects model was used to evaluate the effect size.
RESULTS
A total of 45 studies with 7144 participants were included. A wearable activity tracker was effective in increasing daily steps (standard mean differences (SMD) = 0.59, 95% confidence interval (CI) (0.44, 0.75)), weekly moderate-to-vigorous PA (MVPA) (SMD = 0.54, 95% CI (0.36, 0.72)), and total daily PA (SMD = 0.21, 95% CI (0.01, 0.40)) and reducing sedentary time (SMD = -0.10, 95% CI (-0.19, -0.01)). Subgroup analysis showed that the effectiveness of wearable activity trackers for daily steps was not influenced by participants and intervention features. However, wearable activity trackers seemed more effective in promoting MVPA of participant's age <70 than participant's age ≥70. In addition, wearable activity trackers incorporated with traditional intervention components (e.g. telephone counseling, goal setting, and self-monitoring) could better promote MVPA than alone use. Short-term interventions potentially achieve better MVPA increase than long-term.
CONCLUSION
This review showed that wearable activity trackers are an effective tool to increase PA for the old population and also favor reducing sedentary time. When used together with other interventions, wearable activity trackers can achieve better MVPA increase, especially in the short term. However, how to more effectively improve the effectiveness of wearable activity trackers is an important direction of future research.
PubMed: 37252261
DOI: 10.1177/20552076231176705 -
NPJ Digital Medicine Sep 2023The rapid advancement of telehealth technologies has the potential to revolutionize healthcare delivery, especially in developing countries and resource-limited... (Review)
Review
The rapid advancement of telehealth technologies has the potential to revolutionize healthcare delivery, especially in developing countries and resource-limited settings. Telehealth played a vital role during the COVID-19 pandemic, supporting numerous healthcare services. We conducted a systematic review to gain insights into the characteristics, barriers, and successful experiences in implementing telehealth during the COVID-19 pandemic in China, a representative of the developing countries. We also provide insights for other developing countries that face similar challenges to developing and using telehealth during or after the pandemic. This systematic review was conducted through searching five prominent databases including PubMed/MEDLINE, Embase, Scopus, Cochrane Library, and Web of Science. We included studies clearly defining any use of telehealth services in all aspects of health care during the COVID-19 pandemic in China. We mapped the barriers, successful experiences, and recommendations based on the Consolidated Framework for Implementation Research (CFIR). A total of 32 studies met the inclusion criteria. Successfully implementing and adopting telehealth in China during the pandemic necessitates strategic planning across aspects at society level (increasing public awareness and devising appropriate insurance policies), organizational level (training health care professionals, improving workflows, and decentralizing tasks), and technological level (strategic technological infrastructure development and designing inclusive telehealth systems). WeChat, a widely used social networking platform, was the most common platform used for telehealth services. China's practices in addressing the barriers may provide implications and evidence for other developing countries or low-and middle- income countries (LMICs) to implement and adopt telehealth systems.
PubMed: 37723237
DOI: 10.1038/s41746-023-00908-6 -
Behavioural Brain Research Feb 2023Post-stroke cognitive impairment (PSCI) is one of the common symptoms in stroke survivors, by which their quality of life and rehabilitation progress are severely... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Post-stroke cognitive impairment (PSCI) is one of the common symptoms in stroke survivors, by which their quality of life and rehabilitation progress are severely limited. Repetitive transcranial magnetic stimulation (rTMS) has been proven to regulate cognition in a non-invasive way. However, the inconsistency in its effectiveness on PSCI reported in previous studies cannot be ruled out. A critical and comprehensive systematic review of rTMS on PSCI patients is necessary.
METHODS
Trials published before the end of February 2022 on rTMS and PSCI were systematically retrieved from PubMed, Cochrane Library, EBSCO, Embase and SCOPUS. High-quality literature was selected following the inclusion and exclusion criteria, with their references being screened. Meta-analysis of data was carried out using RevMan 5.4 software.
RESULTS
Ten trials involving 347 participants were included in the current review. Global cognition as measured by MMSE or MoCA (SMD=0.54; 95% CI=0.31, 0.76; P < 0.00001; I = 38%) and modified Barthel index (MD=9.00; 95% CI=2.93, 15.06; P = 0.004; I = 0%) were significantly improved by rTMS compared to sham stimulation in PSCI patients. Performance of the digit symbol test, rivermead behavioral memory test and attention in PSCI patients were also significantly improved. Subgroup analyses showed that significant differences were found in both MoCA and MMSE among PSCI patients by rTMS. MoCA was significantly improved by high frequency rTMS, while both MoCA and MMSE were significantly improved targeting on left dorsolateral prefrontal cortex.
CONCLUSION
rTMS provides a non-invasive and effective technique for the treatment of post-stroke patients with cognitive impairment.
Topics: Humans; Transcranial Magnetic Stimulation; Quality of Life; Cognitive Dysfunction; Stroke; Cognition
PubMed: 36442646
DOI: 10.1016/j.bbr.2022.114229 -
Journal of Digital Imaging Jun 2023Artificial neural networks (ANN) are artificial intelligence (AI) techniques used in the automated recognition and classification of pathological changes from clinical... (Review)
Review
Use of Deep Neural Networks in the Detection and Automated Classification of Lesions Using Clinical Images in Ophthalmology, Dermatology, and Oral Medicine-A Systematic Review.
Artificial neural networks (ANN) are artificial intelligence (AI) techniques used in the automated recognition and classification of pathological changes from clinical images in areas such as ophthalmology, dermatology, and oral medicine. The combination of enterprise imaging and AI is gaining notoriety for its potential benefits in healthcare areas such as cardiology, dermatology, ophthalmology, pathology, physiatry, radiation oncology, radiology, and endoscopic. The present study aimed to analyze, through a systematic literature review, the application of performance of ANN and deep learning in the recognition and automated classification of lesions from clinical images, when comparing to the human performance. The PRISMA 2020 approach (Preferred Reporting Items for Systematic Reviews and Meta-analyses) was used by searching four databases of studies that reference the use of IA to define the diagnosis of lesions in ophthalmology, dermatology, and oral medicine areas. A quantitative and qualitative analyses of the articles that met the inclusion criteria were performed. The search yielded the inclusion of 60 studies. It was found that the interest in the topic has increased, especially in the last 3 years. We observed that the performance of IA models is promising, with high accuracy, sensitivity, and specificity, most of them had outcomes equivalent to human comparators. The reproducibility of the performance of models in real-life practice has been reported as a critical point. Study designs and results have been progressively improved. IA resources have the potential to contribute to several areas of health. In the coming years, it is likely to be incorporated into everyday life, contributing to the precision and reducing the time required by the diagnostic process.
Topics: Humans; Artificial Intelligence; Reproducibility of Results; Ophthalmology; Dermatology; Neural Networks, Computer
PubMed: 36650299
DOI: 10.1007/s10278-023-00775-3 -
NPJ Digital Medicine Apr 2023Pain is a complex and personal experience that presents diverse measurement challenges. Different sensing technologies can be used as a surrogate measure of pain to... (Review)
Review
Pain is a complex and personal experience that presents diverse measurement challenges. Different sensing technologies can be used as a surrogate measure of pain to overcome these challenges. The objective of this review is to summarise and synthesise the published literature to: (a) identify relevant non-invasive physiological sensing technologies that can be used for the assessment of human pain, (b) describe the analytical tools used in artificial intelligence (AI) to decode pain data collected from sensing technologies, and (c) describe the main implications in the application of these technologies. A literature search was conducted in July 2022 to query PubMed, Web of Sciences, and Scopus. Papers published between January 2013 and July 2022 are considered. Forty-eight studies are included in this literature review. Two main sensing technologies (neurological and physiological) are identified in the literature. The sensing technologies and their modality (unimodal or multimodal) are presented. The literature provided numerous examples of how different analytical tools in AI have been applied to decode pain. This review identifies different non-invasive sensing technologies, their analytical tools, and the implications for their use. There are significant opportunities to leverage multimodal sensing and deep learning to improve accuracy of pain monitoring systems. This review also identifies the need for analyses and datasets that explore the inclusion of neural and physiological information together. Finally, challenges and opportunities for designing better systems for pain assessment are also presented.
PubMed: 37100924
DOI: 10.1038/s41746-023-00810-1 -
Digital Health 2023Musculoskeletal conditions are the leading cause of disability worldwide. Telerehabilitation may be a viable option in the management of these conditions, facilitating... (Review)
Review
BACKGROUND
Musculoskeletal conditions are the leading cause of disability worldwide. Telerehabilitation may be a viable option in the management of these conditions, facilitating access and patient adherence. Nevertheless, the impact of biofeedback-assisted asynchronous telerehabilitation remains unknown.
OBJECTIVE
To systematically review and assess the effectiveness of exercise-based asynchronous biofeedback-assisted telerehabilitation on pain and function in individuals with musculoskeletal conditions.
METHODS
This systematic review followed Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The search was conducted using three databases: PubMed, Scopus, and PEDro. Study criteria included articles written in English and published from January 2017 to August 2022, reporting interventional trials evaluating exercise-based asynchronous telerehabilitation using biofeedback in adults with musculoskeletal disorders. The risks of bias and certainty of evidence were appraised using the Cochrane tool and Grading of Recommendations, Assessment, Development, and Evaluation (GRADE), respectively. The results are narratively summarized, and the effect sizes of the main outcomes were calculated.
RESULTS
Fourteen trials were included: 10 using motion tracker technology ( = 1284) and four with camera-based biofeedback ( = 467). Telerehabilitation with motion trackers yields at least similar improvements in pain and function in people with musculoskeletal conditions (effect sizes: 0.19-1.45; low certainty of evidence). Uncertain evidence exists for the effectiveness of camera-based telerehabilitation (effect sizes: 0.11-0.13; very low evidence). No study found superior results in a control group.
CONCLUSIONS
Asynchronous telerehabilitation may be an option in the management of musculoskeletal conditions. Considering its potential for scalability and access democratization, additional high-quality research is needed to address long-term outcomes, comparativeness, and cost-effectiveness and identify treatment responders.
PubMed: 37325077
DOI: 10.1177/20552076231176696 -
International Journal of Dermatology Jul 2017Digital mucous cysts (DMC) are benign, highly recurrent lesions of the digits. To date, there is still no treatment agreement on the treatment of DMC. Herein, we review... (Review)
Review
Digital mucous cysts (DMC) are benign, highly recurrent lesions of the digits. To date, there is still no treatment agreement on the treatment of DMC. Herein, we review available data on treatment modalities, including both surgical and nonsurgical techniques, and to provide a practical algorithm for the management of DMC. A systematic review was conducted using MEDLINE, EMBASE, and Cochrane databases. Articles studying the management of DMC were included in this review. A total of 40 articles were included in the review. The five most frequently used treatments for DMC were surgery (n = 849), expression of cyst content (n = 132), sclerotherapy (n = 119), corticosteroid injection (n = 108), and cryotherapy (n = 103). Surgery yielded the highest cure rate among all treatment modalities (95%) compared to sclerotherapy (77%), cryotherapy (72%), corticosteroid injection (61%), and expression of cyst content (39%) (P < 0.001). Surgery should be considered as the first-line treatment for DMC. Second-line treatments include sclerotherapy and cryotherapy. Third-line treatments include corticosteroid injections, expression of cyst content, and less-studied modalities. Surgery showed the highest cure rates. Future adequately designed randomized controlled trials are warranted to compare different treatment modalities.
Topics: Adrenal Cortex Hormones; Algorithms; Cryotherapy; Cysts; Fingers; Humans; Sclerotherapy; Skin Diseases
PubMed: 28239853
DOI: 10.1111/ijd.13583 -
NPJ Digital Medicine Mar 2022Accurate and objective performance assessment is essential for both trainees and certified surgeons. However, existing methods can be time consuming, labor intensive,... (Review)
Review
Accurate and objective performance assessment is essential for both trainees and certified surgeons. However, existing methods can be time consuming, labor intensive, and subject to bias. Machine learning (ML) has the potential to provide rapid, automated, and reproducible feedback without the need for expert reviewers. We aimed to systematically review the literature and determine the ML techniques used for technical surgical skill assessment and identify challenges and barriers in the field. A systematic literature search, in accordance with the PRISMA statement, was performed to identify studies detailing the use of ML for technical skill assessment in surgery. Of the 1896 studies that were retrieved, 66 studies were included. The most common ML methods used were Hidden Markov Models (HMM, 14/66), Support Vector Machines (SVM, 17/66), and Artificial Neural Networks (ANN, 17/66). 40/66 studies used kinematic data, 19/66 used video or image data, and 7/66 used both. Studies assessed the performance of benchtop tasks (48/66), simulator tasks (10/66), and real-life surgery (8/66). Accuracy rates of over 80% were achieved, although tasks and participants varied between studies. Barriers to progress in the field included a focus on basic tasks, lack of standardization between studies, and lack of datasets. ML has the potential to produce accurate and objective surgical skill assessment through the use of methods including HMM, SVM, and ANN. Future ML-based assessment tools should move beyond the assessment of basic tasks and towards real-life surgery and provide interpretable feedback with clinical value for the surgeon.PROSPERO: CRD42020226071.
PubMed: 35241760
DOI: 10.1038/s41746-022-00566-0 -
BMC Musculoskeletal Disorders Aug 2016Dupuytren's disease is a common fibrotic disorder of the palm characterized by the development of progressive flexion deformities in the digits, leading to significant... (Review)
Review
BACKGROUND
Dupuytren's disease is a common fibrotic disorder of the palm characterized by the development of progressive flexion deformities in the digits, leading to significant functional impairment. Surgical excision remains the most common treatment. However, this is only indicated in patients with established contractures rather than those with early disease. Early disease is generally characterized by the presence of palmar nodules with limited or no contracture of the fingers. The ideal treatment would be directed at patients with early progressive disease to prevent future deterioration. Various non-surgical treatment modalities have been described but there is currently no systematic assessment of the role and efficacy of these treatments in patients with early disease.
METHODS
Using a PICOS analysis we reviewed publications of studies of patients with early disease who had received physical therapies, pharmacological treatment, or radiotherapy. Following PRISMA guidelines titles and abstract were screened using predefined criteria to identify those reporting outcomes specifically relating to the treatment of early disease. In the absence of a definition of early disease studies were included if early DD was described clinically, with digital contractures not exceeding 30°, Tubiana grades N to 1, and which reported identifiable data. Studies were excluded if data for early DD patients could not be extracted for analysis.
RESULTS
In this systematic review, 26 studies were identified and analyzed to evaluate the effect of pharmacological therapy (n = 11), physical therapy (n = 5) and radiotherapy (n = 10) on early Dupuytren's disease. The studies comprised 20 case series, 1 cohort study with the remainder reporting case studies. All publications were graded level of evidence 4 or 5 assessed using the Oxford Centre for Evidence Based Medicine grading. Narrative descriptions of the data are presented.
CONCLUSIONS
Physical therapies were the most robustly assessed, using objective measures but the studies were under powered, providing insufficient evidence of efficacy. Intralesional steroid injection and radiotherapy appeared to lead to softening of nodules and to retard disease progression but lacked rigorous evaluation and studies were poorly designed. There is an urgent need for adequately powered double blinded randomized trials for this common disorder which affects 4 % of the population.
TRIAL REGISTRATION
The protocol was registered ( CRD42015008986 16 November 2015) with the PROSPERO international prospective register of systematic reviews.
Topics: Disease Progression; Drug Therapy; Dupuytren Contracture; Hand; Humans; Physical Therapy Modalities; Radiotherapy; Treatment Outcome
PubMed: 27526686
DOI: 10.1186/s12891-016-1200-y