Healthcare Technology Letters最新文献_第9页

Visualization modality for augmented reality guidance of in-depth tumour enucleation procedures 增强现实技术引导深度肿瘤去核手术的可视化模式

IF 2.1

Healthcare Technology Letters Pub Date : 2023-12-03 DOI: 10.1049/htl2.12058

Nadia Cattari, Fabrizio Cutolo, Luciana La Placa, Vincenzo Ferrari

{"title":"Visualization modality for augmented reality guidance of in-depth tumour enucleation procedures","authors":"Nadia Cattari, Fabrizio Cutolo, Luciana La Placa, Vincenzo Ferrari","doi":"10.1049/htl2.12058","DOIUrl":"10.1049/htl2.12058","url":null,"abstract":"Recent research studies reported that the employment of wearable augmented reality (AR) systems such as head-mounted displays for the in situ visualisation of ultrasound (US) images can improve the outcomes of US-guided biopsies through reduced procedure completion times and improved accuracy. Here, the authors continue in the direction of recent developments and present the first AR system for guiding an in-depth tumour enucleation procedure under US guidance. The system features an innovative visualisation modality with cutting trajectories that ‘sink’ into the tissue according to the depth reached by the electric scalpel, tracked in real-time, and a virtual-to-virtual alignment between the scalpel's tip and the trajectory. The system has high accuracy in estimating the scalpel's tip position (mean depth error of 0.4 mm and mean radial error of 1.34 mm). Furthermore, we demonstrated with a preliminary user study that our system allowed us to successfully guide an in-depth tumour enucleation procedure (i.e. preserving the safety margin around the lesion).","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"11 2-3","pages":"101-107"},"PeriodicalIF":2.1,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/htl2.12058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

First-in-human real-time AI-assisted instrument deocclusion during augmented reality robotic surgery 人类首次在增强现实机器人手术中使用实时人工智能辅助器械脱钩

IF 2.1

Healthcare Technology Letters Pub Date : 2023-12-02 DOI: 10.1049/htl2.12056

Jasper Hofman, Pieter De Backer, Ilaria Manghi, Jente Simoens, Ruben De Groote, Hannes Van Den Bossche, Mathieu D'Hondt, Tim Oosterlinck, Julie Lippens, Charles Van Praet, Federica Ferraguti, Charlotte Debbaut, Zhijin Li, Oliver Kutter, Alexandre Mottrie, Karel Decaestecker

{"title":"First-in-human real-time AI-assisted instrument deocclusion during augmented reality robotic surgery","authors":"Jasper Hofman, Pieter De Backer, Ilaria Manghi, Jente Simoens, Ruben De Groote, Hannes Van Den Bossche, Mathieu D'Hondt, Tim Oosterlinck, Julie Lippens, Charles Van Praet, Federica Ferraguti, Charlotte Debbaut, Zhijin Li, Oliver Kutter, Alexandre Mottrie, Karel Decaestecker","doi":"10.1049/htl2.12056","DOIUrl":"10.1049/htl2.12056","url":null,"abstract":"The integration of Augmented Reality (AR) into daily surgical practice is withheld by the correct registration of pre-operative data. This includes intelligent 3D model superposition whilst simultaneously handling real and virtual occlusions caused by the AR overlay. Occlusions can negatively impact surgical safety and as such deteriorate rather than improve surgical care. Robotic surgery is particularly suited to tackle these integration challenges in a stepwise approach as the robotic console allows for different inputs to be displayed in parallel to the surgeon. Nevertheless, real-time de-occlusion requires extensive computational resources which further complicates clinical integration. This work tackles the problem of instrument occlusion and presents, to the authors’ best knowledge, the first-in-human on edge deployment of a real-time binary segmentation pipeline during three robot-assisted surgeries: partial nephrectomy, migrated endovascular stent removal, and liver metastasectomy. To this end, a state-of-the-art real-time segmentation and 3D model pipeline was implemented and presented to the surgeon during live surgery. The pipeline allows real-time binary segmentation of 37 non-organic surgical items, which are never occluded during AR. The application features real-time manual 3D model manipulation for correct soft tissue alignment. The proposed pipeline can contribute towards surgical safety, ergonomics, and acceptance of AR in minimally invasive surgery.","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"11 2-3","pages":"33-39"},"PeriodicalIF":2.1,"publicationDate":"2023-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/htl2.12056","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138607728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cardiac disease risk prediction using machine learning algorithms 利用机器学习算法预测心脏病风险

IF 2.8

Healthcare Technology Letters Pub Date : 2023-11-30 DOI: 10.1049/htl2.12053

Albert Alexander Stonier, Rakesh Krishna Gorantla, K Manoj

{"title":"Cardiac disease risk prediction using machine learning algorithms","authors":"Albert Alexander Stonier, Rakesh Krishna Gorantla, K Manoj","doi":"10.1049/htl2.12053","DOIUrl":"10.1049/htl2.12053","url":null,"abstract":"Heart attack is a life-threatening condition which is mostly caused due to coronary disease resulting in death in human beings. Detecting the risk of heart diseases is one of the most important problems in medical science that can be prevented and treated with early detection and appropriate medical management; it can also help to predict a large number of medical needs and reduce expenses for treatment. Predicting the occurrence of heart diseases by machine learning (ML) algorithms has become significant work in healthcare industry. This study aims to create a such system that is used for predicting whether a patient is likely to develop heart attacks, by analysing various data sources including electronic health records and clinical diagnosis reports from hospital clinics. ML is used as a process in which computers learn from data in order to make predictions about new datasets. The algorithms created for predictive data analysis are often used for commercial purposes. This paper presents an overview to forecast the likelihood of a heart attack for which many ML methodologies and techniques are applied. In order to improve medical diagnosis, the paper compares various algorithms such as Random Forest, Regression models, K-nearest neighbour imputation (KNN), Naïve Bayes algorithm etc. It is found that the Random Forest algorithm provides a better accuracy of 88.52% in forecasting heart attack risk, which could herald a revolution in the diagnosis and treatment of cardiovascular illnesses.","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"11 4","pages":"213-217"},"PeriodicalIF":2.8,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/htl2.12053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139203718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neurotechnological solutions for post-traumatic stress disorder: A perspective review and concept proposal 创伤后应激障碍的神经技术解决方案：观点回顾和概念建议

IF 2.1

Healthcare Technology Letters Pub Date : 2023-11-28 DOI: 10.1049/htl2.12055

Richard Laugharne, Mohsen Farid, Christopher James, Anirban Dutta, Christopher Mould, Noelle Molten, Jonathan Laugharne, Rohit Shankar

{"title":"Neurotechnological solutions for post-traumatic stress disorder: A perspective review and concept proposal","authors":"Richard Laugharne, Mohsen Farid, Christopher James, Anirban Dutta, Christopher Mould, Noelle Molten, Jonathan Laugharne, Rohit Shankar","doi":"10.1049/htl2.12055","DOIUrl":"https://doi.org/10.1049/htl2.12055","url":null,"abstract":"Post-traumatic stress disorder (PTSD) is an anxiety condition caused by exposure to severe trauma. It is characterised by nightmares, flashbacks, hyper-vigilance and avoidance behaviour. These all lead to impaired functioning reducing quality of life. PTSD affects 2–5% of the population globally. Most sufferers cannot access effective treatment, leading to impaired psychological functioning reducing quality of life. Eye movement desensitisation and reprocessing (EMDR) is a non-invasive brain stimulation treatment that has shown significant clinical effectiveness in PTSD. Another treatment modality, that is, trauma-focused cognitive behavioural therapy is also an effective intervention. However, both evidence-based treatments are significantly resource intensive as they need trained therapists to deliver them. A concept of a neuro-digital tool for development is proposed to put to clinical practice of delivering EMDR to improve availability, efficiency and effectiveness of treatment. The evidence in using new technologies to measure sleep, geolocation and conversational analysis of social media to report objective outcome measures is explored. If achieved, this can be fed back to users with data anonymously collated to evaluate and improve the tool. Coproduction would be at the heart of product development so that the tool is acceptable and accessible to people with the condition.","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"10 6","pages":"133-138"},"PeriodicalIF":2.1,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/htl2.12055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138713840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Electronic health records perception among three healthcare providers specialties in Saudi Arabia: A cross-sectional study 沙特阿拉伯三个医疗保健提供者专业的电子健康记录认知：一项横断面研究。

IF 2.1

Healthcare Technology Letters Pub Date : 2023-09-20 DOI: 10.1049/htl2.12052

A. Karim Jabali, Fuad A. Abdulla

{"title":"Electronic health records perception among three healthcare providers specialties in Saudi Arabia: A cross-sectional study","authors":"A. Karim Jabali, Fuad A. Abdulla","doi":"10.1049/htl2.12052","DOIUrl":"10.1049/htl2.12052","url":null,"abstract":"Worldwide, more health care facilities are adapting the use of electronic health record (EHR). Healthcare providers (HCP) have different perceptions toward the use of EHR. To investigate the perception of three classes of HCP in Saudi Arabia toward using EHR, a questionnaire (targeting satisfaction, easiness, and benefits of use as major perception indicators) was prepared. The questionnaire was assessed by an expert panel for content validity. The questionnaire internal consistency was examined using Cronbach's alpha. 108 physicians, physical therapists (PT) and respiratory care therapists (RT) from different hospitals in Saudi Arabia answered the questionnaire. Most of respondents perceived EHR systems as beneficial and made work easier. Most HCP were satisfied with the use of EHR, however, with the use of EHR more time was needed to finish the work. Age, experience, job, and job rank of HCP are of different importance in determining responses, perception, and obstacles of using EHR. Moreover, the perception of using EHR seems to be field specific. There is a positive perception among Saudi Arabia HCP about EHR use.","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"10 5","pages":"104-111"},"PeriodicalIF":2.1,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b5/9c/HTL2-10-104.PMC10546086.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41145457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comparison of conductive ink usage optimization techniques used in fabrication of epidermal UHF radio frequency identification tags for medical and sensing applications 用于制造用于医疗和传感应用的表皮超高频射频识别标签的导电油墨使用优化技术的比较。

IF 2.1

Healthcare Technology Letters Pub Date : 2023-09-20 DOI: 10.1049/htl2.12051

Dumtoochukwu Obiora Oyeka, John Batchelor, Rachel Saunders

{"title":"A comparison of conductive ink usage optimization techniques used in fabrication of epidermal UHF radio frequency identification tags for medical and sensing applications","authors":"Dumtoochukwu Obiora Oyeka, John Batchelor, Rachel Saunders","doi":"10.1049/htl2.12051","DOIUrl":"10.1049/htl2.12051","url":null,"abstract":"The aim of this work is to assess the performance of various inkjet printing techniques. These techniques are aimed at optimizing the volume of conductive ink used in the fabrication of inkjet printed Radio Frequency Identification tags. It is also possible that they can be used in fabricating other electronic and electromagnetic devices and structures. Three ink optimization approaches were examined viz. gridded (meshed) designs, conductive area trimming and selective ink deposition. The volume of conductive ink utilized in tag fabrication and the measured on-body (forearm) read range of the tag were used to develop a figure of merit which determined the best printing approach. Although the longest read range was obtained from the tag with 48% conductive area trimming (Trim 1), the best figure of merit, that is, the tag with the best balance between measured read range and utilized conductive ink, was obtained from the tag that had its surface area trimmed by 65% (Trim 2). It is however suggested that optimum use of conductive ink would be achieved with a combination of 65% surface area trimming and selective ink deposition technique.","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"10 5","pages":"99-103"},"PeriodicalIF":2.1,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/htl2.12051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41173348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Open your black box classifier 打开黑盒分类器

IF 2.8

Healthcare Technology Letters Pub Date : 2023-08-29 DOI: 10.1049/htl2.12050

Paulo Jorge Gomes Lisboa

引用次数: 0

Secure medical image transmission using deep neural network in e-health applications 在电子健康应用中使用深度神经网络安全传输医学图像

IF 2.1

Healthcare Technology Letters Pub Date : 2023-07-19 DOI: 10.1049/htl2.12049

Ala Abdulsalam Alarood, Muhammad Faheem, Mahmoud Ahmad Al-Khasawneh, Abdullah I. A. Alzahrani, Abdulrahman A. Alshdadi

{"title":"Secure medical image transmission using deep neural network in e-health applications","authors":"Ala Abdulsalam Alarood, Muhammad Faheem, Mahmoud Ahmad Al-Khasawneh, Abdullah I. A. Alzahrani, Abdulrahman A. Alshdadi","doi":"10.1049/htl2.12049","DOIUrl":"10.1049/htl2.12049","url":null,"abstract":"Recently, medical technologies have developed, and the diagnosis of diseases through medical images has become very important. Medical images often pass through the branches of the network from one end to the other. Hence, high-level security is required. Problems arise due to unauthorized use of data in the image. One of the methods used to secure data in the image is encryption, which is one of the most effective techniques in this field. Confusion and diffusion are the two main steps addressed here. The contribution here is the adaptation of the deep neural network by the weight that has the highest impact on the output, whether it is an intermediate output or a semi-final output in additional to a chaotic system that is not detectable using deep neural network algorithm. The colour and grayscale images were used in the proposed method by dividing the images according to the Region of Interest by the deep neural network algorithm. The algorithm was then used to generate random numbers to randomly create a chaotic system based on the replacement of columns and rows, and randomly distribute the pixels on the designated area. The proposed algorithm evaluated in several ways, and compared with the existing methods to prove the worth of the proposed method.","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"10 4","pages":"87-98"},"PeriodicalIF":2.1,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/htl2.12049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10354750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Assessment of human gait after total knee arthroplasty by dynamic time warping algorithm 基于动态时间翘曲算法的全膝关节置换术后人体步态评估

IF 2.1

Healthcare Technology Letters Pub Date : 2023-06-13 DOI: 10.1049/htl2.12047

Reza Abbasi-Kesbi, Mohammad Fathi, Mohammad Najafi, Alireza Nikfarjam

引用次数: 1

Non-invasive ventilation treatment for patients with chronic obstructive pulmonary disease 慢性阻塞性肺疾病患者的无创通气治疗

IF 2.1

Healthcare Technology Letters Pub Date : 2023-06-08 DOI: 10.1049/htl2.12048

Fleur T. Tehrani, James H. Roum

{"title":"Non-invasive ventilation treatment for patients with chronic obstructive pulmonary disease","authors":"Fleur T. Tehrani, James H. Roum","doi":"10.1049/htl2.12048","DOIUrl":"10.1049/htl2.12048","url":null,"abstract":"Chronic obstructive pulmonary disease (COPD) affects the lives of millions of patients worldwide. Patients with advanced COPD may require non-invasive ventilation (NIV) to support the resultant deficiencies of the respiratory system. The purpose of this study was to evaluate the effects of varying the continuous positive airway pressure (CPAP) and oxygen supplementation components of NIV on simulated COPD patients by using an established and detailed model of the human respiratory system. The model used in the study simulates features of advanced COPD including the effects on the changes in ventilation control, increases in respiratory dead space and airway resistance, and the acid–base shifts in the blood seen in these patients over time. The results of the study have been compared with and found to be in general agreement with available clinical data. Our results demonstrate that under non-emergency conditions, low levels of oxygen supplementation combined with low levels of CPAP therapy seem to improve hypoxemia and hypercapnia in the model, whereas prolonged high-level CPAP and moderate-to-high levels of oxygen supplementation do not. The authors conclude that such modelling may be useful to help guide beneficial interventions for COPD patients using NIV.","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"10 4","pages":"80-86"},"PeriodicalIF":2.1,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/htl2.12048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9926735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0