Medicine in Novel Technology and Devices最新文献_第7页

A Comprehensive Review of Deep Learning in OCT Image Segmentation and Classification 深度学习在OCT图像分割与分类中的应用综述

Medicine in Novel Technology and Devices Pub Date : 2025-08-29 DOI: 10.1016/j.medntd.2025.100396

Abdo Sulaiman Abdi , Adnan Mohsin Abdulazeez

{"title":"A Comprehensive Review of Deep Learning in OCT Image Segmentation and Classification","authors":"Abdo Sulaiman Abdi , Adnan Mohsin Abdulazeez","doi":"10.1016/j.medntd.2025.100396","DOIUrl":"10.1016/j.medntd.2025.100396","url":null,"abstract":"<div><div>Optical Coherence Tomography (OCT) has transformed ophthalmology by enabling high-resolution imaging essential for diagnosing a wide range of ocular diseases. In recent years, Deep Learning (DL) techniques have really integrated well with OCT, bringing a significant boost in the accuracy and efficiency of automatic disease detection. This review is meant as a thorough and full-scale exploration of DL-based OCT segmentation and classification. It discusses the progress and points out key issues which need to be addressed in future research. The paper first looks at OCT datasets, their diversity, representational diseases and capacity to form reliable training sets for DL models. Then it delves into analysis with segmentation methods, compares their performance and identifies problems with existing approaches. The review surveys current classification techniques, contrasting deep learning models of various architectures which are capable of recognizing and distinguishing retinal diseases. It also focuses on the clinical significance of these models–details precisely what ocular conditions they analyze, and how well they can diagnose disease. In addition to synthesizing existing achievements, the review makes clear the major highpoints of current research as well as future directions. It identifies problems such as inadequate dataset diversity, model generality irregulatity, interpretability and computation efficiency. It makes concrete proposals for improvement, including real-world image collection and algorithm optimizations to fill in gaps in databases or increase model episode performance remarkably. This kind-of study should eventually help to provide a clear view of the present state as well as future prospects for deep learning in ophthalmic diagnosis by OCT.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"28 ","pages":"Article 100396"},"PeriodicalIF":0.0,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Progress in rehabilitation equipment for autism spectrum disorder 自闭症谱系障碍康复设备的研究进展

Medicine in Novel Technology and Devices Pub Date : 2025-06-01 Epub Date: 2025-03-28 DOI: 10.1016/j.medntd.2025.100365

Ruixiang Hou, Chaojuan Yang, Chunjing Tao, Yubo Fan

引用次数: 0

Assessment of physicochemical properties of polysaccharide derived mucoadhesive hydrogels to design tunable drug delivery carriers 评价多糖衍生黏附水凝胶的理化性质以设计可调的药物递送载体

Medicine in Novel Technology and Devices Pub Date : 2025-06-01 Epub Date: 2025-03-26 DOI: 10.1016/j.medntd.2025.100360

Ankita Kumari, Diwanshi Sharma, Baljit Singh

{"title":"Assessment of physicochemical properties of polysaccharide derived mucoadhesive hydrogels to design tunable drug delivery carriers","authors":"Ankita Kumari, Diwanshi Sharma, Baljit Singh","doi":"10.1016/j.medntd.2025.100360","DOIUrl":"10.1016/j.medntd.2025.100360","url":null,"abstract":"<div><div>Recent initiatives have focused on designing copolymeric materials from bioactive polysaccharides, unveiling new horizons for their transformative use in biomedical applications. Sterculia gum (SG) is a bioactive polysaccharide which exhibits various therapeutic activities and effective in wound healing. Herein this research SG derived hydrogels were designed for wound dressing (WD) and drug delivery (DD) applications. These hydrogels were prepared by integrating PVP and HEMA onto SG by crosslinking polymerization reaction and were encapsulated with doxycycline to enhance potential of WD for healing. Copolymeric films were characterized using various techniques such as FESEM, EDS, AFM, FTIR, <sup>13</sup>C NMR, XRD and various biomedical assays. Uneven porous morphology along with rough surface of hydrogels was recognized from FESEM and AFM analysis. XRD demonstrated the amorphous state of materials. FTIR and <sup>13</sup>C NMR confirmed integration of PVP and PHEMA onto SG. Hydrogel exhibited bioadhesive, biocompatible and antioxidant properties. Diffusion of doxycycline followed a non-Fickian mechanism of diffusion consistent with kinetic model Korsmeyer-Peppas. The dressings were elastic and demonstrated mechanical stability during evaluation of tensile strength. Additionally, dressing displayed antimicrobial activity against <em>P. aeruginosa</em>, <em>E. coli</em>, and <em>S. aureus</em>. The biomedical properties suggested that SG derived hydrogel could be utilized in applications for WD and drug delivery.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100360"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768756","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

Artificial intelligence in de novo protein design 人工智能在蛋白质设计中的应用

Medicine in Novel Technology and Devices Pub Date : 2025-06-01 Epub Date: 2025-04-15 DOI: 10.1016/j.medntd.2025.100366

Jiawei Yao, Xiaogang Wang

{"title":"Artificial intelligence in de novo protein design","authors":"Jiawei Yao, Xiaogang Wang","doi":"10.1016/j.medntd.2025.100366","DOIUrl":"10.1016/j.medntd.2025.100366","url":null,"abstract":"<div><div>The primary goal of protein engineering has always been to create molecules with optimal functions and characteristics. One of the most exciting avenues of research in this field is de novo protein design. This approach facilitates the synthesis of entirely new molecules without relying on existing protein, thereby offering a novel method for generating molecular entities that were previously unimaginable. The application of artificial intelligence in this field has been a significant advancement. By leveraging machine learning algorithms trained on extensive sequence and structure datasets, scientists have been able to make de novo protein design a practical reality. In this paper, we will delve into the key artificial intelligence innovations that have driven this progress and explore how they unlock groundbreaking opportunities. These advancements, we believe, have the potential to push beyond the current state of the art, enabling us to design proteins strategically and robustly. Moreover, they offer solutions to pressing societal challenges, such as developing new therapeutics, creating sustainable biomaterials, or engineering enzymes for environmental remediation.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100366"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review of evaluation methods for Duchenne muscular dystrophy 杜氏肌营养不良症评价方法综述

Medicine in Novel Technology and Devices Pub Date : 2025-06-01 Epub Date: 2025-03-07 DOI: 10.1016/j.medntd.2025.100358

Zeinab Famili , Hadi Soltanizadeh , Bita Shalbafan

{"title":"A review of evaluation methods for Duchenne muscular dystrophy","authors":"Zeinab Famili , Hadi Soltanizadeh , Bita Shalbafan","doi":"10.1016/j.medntd.2025.100358","DOIUrl":"10.1016/j.medntd.2025.100358","url":null,"abstract":"<div><div>In recent years, the study of body movement performance in disease assessment has attracted significant attention. Duchenne Muscular Dystrophy (DMD) is a disease that significantly affects mobility. It is crucial to assess the movement of both the upper and lower limbs to diagnose this condition effectively. This research categorizes DMD assessment methods into two types: human-based assessments (based on questionnaires) and Machine-based assessments (using motion tracking and computer algorithms). The validity of human-based assessments, which often focus on daily activities and muscle strength, may be called into question. This issue underscores the necessity of utilizing qualitative and observational methods to achieve more accurate assessments. In contrast, Machine-based assessment have benefited from recent technological advancements that enable innovative techniques for disease evaluation, thereby improving the accuracy and validity of DMD diagnosis. The integration of motion tracking systems with artificial intelligence algorithms mitigates the limitations of visual and subjective assessments, providing more precise and objective results. These advancements aim to enhance the accuracy, reliability, and validity of DMD diagnosis while offering a more comprehensive approach to assessing individuals with the condition. In this study, the existing assessment methods in both categories are introduced and compared, analyzing their advantages and limitations to provide an accurate evaluation of their performance in diagnosing DMD. The aim of this review is to identify the best methods for diagnosing and monitoring DMD based on accuracy, reliability, and efficiency.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100358"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642422","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

Mandarin speech reconstruction from surface electromyography based on generative adversarial networks 基于生成对抗网络的表面肌电图普通话语音重构

Medicine in Novel Technology and Devices Pub Date : 2025-06-01 Epub Date: 2025-03-08 DOI: 10.1016/j.medntd.2025.100359

Fengji Li , Fei Shen , Ding Ma , Jie Zhou , Li Wang , Fan Fan , Tao Liu , Xiaohong Chen , Tomoki Toda , Haijun Niu

{"title":"Mandarin speech reconstruction from surface electromyography based on generative adversarial networks","authors":"Fengji Li , Fei Shen , Ding Ma , Jie Zhou , Li Wang , Fan Fan , Tao Liu , Xiaohong Chen , Tomoki Toda , Haijun Niu","doi":"10.1016/j.medntd.2025.100359","DOIUrl":"10.1016/j.medntd.2025.100359","url":null,"abstract":"<div><div>The loss of speech function due to conditions such as laryngectomy and vocal cord paralysis significantly impacts the quality of life for patients. Achieving effective communication for these patients is a goal pursued by researchers. This study primarily explores a method for reconstructing Mandarin speech based on voice-related neck and facial surface electromyography (sEMG). Neck and facial sEMG signals and speech waveform were synchronously collected during normal speech production. A speech reconstruction model for Mandarin speech, based on multi-scale feature extraction from EMG and a generative adversarial network (GAN), was developed. Both subjective and objective evaluations were conducted to assess the speech reconstruction performance of the model. The evaluation results indicate that the model effectively reconstructs speech from neck and facial sEMG signals. The reconstructed speech closely matches the original in terms of spectrogram and fundamental frequency, with mel-cepstrum distortion of 8.45 dB, log F0 RMSE of 0.40, F0 correlation coefficient of 0.71 and F0 voiced/unvoiced estimation accuracy of 0.80. The character error rate of the reconstructed speech is 0.32, while the tone error rate is 0.26. The subjective listening test results show that the naturalness of the reconstructed speech is acceptable, with a mean opinion score greater than 3. This study demonstrates the potential of deep learning techniques in effectively reconstructing Mandarin speech from sEMG.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100359"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619501","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 comprehensive review of deep brain stimulation for Parkinson's disease: The history, current state of the art and future possibilities 脑深部电刺激治疗帕金森病的综合综述：历史、现状和未来的可能性

Medicine in Novel Technology and Devices Pub Date : 2025-06-01 Epub Date: 2025-03-26 DOI: 10.1016/j.medntd.2025.100362

Avery Foote, Emma de Waal, Frederico Caiado, Amr Samman, Arkadiy Ukolov

引用次数: 0

Effectiveness, safety and adherence of home-based exercise rehabilitation in patients with coronary heart disease patients: A systematic review 冠心病患者家庭运动康复的有效性、安全性和依从性：一项系统综述

Medicine in Novel Technology and Devices Pub Date : 2025-06-01 Epub Date: 2025-03-27 DOI: 10.1016/j.medntd.2025.100361

Dong Xue , Zhao Yu , Li Jianchao , Liu Linyi , Wang Zengwu , Ding Rongjing , Tao Chunjing , Fan Yubo

{"title":"Effectiveness, safety and adherence of home-based exercise rehabilitation in patients with coronary heart disease patients: A systematic review","authors":"Dong Xue , Zhao Yu , Li Jianchao , Liu Linyi , Wang Zengwu , Ding Rongjing , Tao Chunjing , Fan Yubo","doi":"10.1016/j.medntd.2025.100361","DOIUrl":"10.1016/j.medntd.2025.100361","url":null,"abstract":"<div><div>Exercise rehabilitation is important in the home-based rehabilitation of coronary heart disease. However, a comprehensive model to assess the effectiveness, safety, and adherence of home exercise rehabilitation has not yet been established. This study aimed to synthesize and evaluate the evidence on the effectiveness, safety, and adherence of home-based exercise rehabilitation for patients with coronary heart disease. English and Chinese databases were retrieved from the inception of the database to March 1 in 2024 for HBCR and exercise. A total of 26 studies met the inclusion criteria. The main indicators to assess the effectiveness of exercise rehabilitation include: peak oxygen uptake, metabolic equivalents, 6-min walk test distance, and quality of life. The main indicators to assess the safety of exercise rehabilitation include: re-hospitalization rate, and mortality. Aerobic exercise can increase peak oxygen uptake with better safety. The main indicators for assessing adherence include the number and duration of adherent training sessions and the percentage of training completed. A comprehensive model to assess the effectiveness, safety, and adherence of home exercise rehabilitation has been established based on these indicators. Furthermore, enhancing the effectiveness necessitates high-intensity aerobic exercise. The key element ensuring the safety is the development of precise and personalized exercise prescriptions. An important trend in enhancing adherence is the integrated application of intelligent wearable technology. In the future, the home-based exercise rehabilitation will evolve towards individual precision, greater safety, and higher effectiveness.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100361"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143799960","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

Polysaccharide-derived carbon quantum dots: advances in preclinical studies, theranostic applications, and future clinical trials 多糖衍生的碳量子点：临床前研究、治疗应用和未来临床试验的进展

Medicine in Novel Technology and Devices Pub Date : 2025-06-01 Epub Date: 2025-04-17 DOI: 10.1016/j.medntd.2025.100367

Shubhrat Maheshwari , Aditya Singh , Amita Verma

{"title":"Polysaccharide-derived carbon quantum dots: advances in preclinical studies, theranostic applications, and future clinical trials","authors":"Shubhrat Maheshwari , Aditya Singh , Amita Verma","doi":"10.1016/j.medntd.2025.100367","DOIUrl":"10.1016/j.medntd.2025.100367","url":null,"abstract":"<div><div>Polysaccharide-derived carbon quantum dots (CQDs) have emerged as promising nanomaterials, valued for their biocompatibility, low toxicity, and outstanding fluorescence characteristics, which make them ideal for diverse biomedical applications, particularly in theranostics. These carbon-based nanoparticles uniquely merge diagnostic and therapeutic capabilities, holding significant potential for both detecting and treating various diseases. Renewable and abundant polysaccharides—such as chitosan, starch, cellulose, pectin, alginate, dextran, and heparin—are excellent carbon precursors for CQD synthesis. Their inherent functional groups, like hydroxyl and carboxyl, enhance the stability, solubility, and adaptability of the resulting CQDs, broadening their application in imaging, drug delivery, and cancer treatment. Additionally, these CQDs have demonstrated potential in targeted drug delivery, controlled release systems, and tissue regeneration, solidifying their role in both diagnostic and therapeutic realms. This review examines recent progress in the synthesis of polysaccharide-derived CQDs, emphasizing preclinical studies that showcase their use in imaging, drug delivery, and cancer therapy. It further explores their prospective role in theranostic applications and outlines the challenges that must be overcome to transition these nanomaterials into clinical trials. With continued research and innovation, polysaccharide-derived CQDs are poised to contribute significantly to future clinical applications, facilitating more effective and personalized treatment strategies across a spectrum of diseases.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100367"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143927684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimating pulmonary arterial pressure from 4D flow images 从四维血流图像估计肺动脉压

Medicine in Novel Technology and Devices Pub Date : 2025-06-01 Epub Date: 2025-02-22 DOI: 10.1016/j.medntd.2025.100354

Chi Zhang , Yaowen Dong , Tongxi Liu , Jin She , Jian Yang , Deyu Li , Sheng Xie

{"title":"Estimating pulmonary arterial pressure from 4D flow images","authors":"Chi Zhang , Yaowen Dong , Tongxi Liu , Jin She , Jian Yang , Deyu Li , Sheng Xie","doi":"10.1016/j.medntd.2025.100354","DOIUrl":"10.1016/j.medntd.2025.100354","url":null,"abstract":"<div><div>The non-invasive method for estimating the pulmonary arterial pressure (PAP) plays an important role in the screening and diagnosis of pulmonary arterial hypertension (PAH). We aimed to establish a phase-contrast magnetic resonance imaging (PC-MRI) based method to estimate PAP. Through analyzing a patient's morphologic and hemodynamic features, this method could be used to identify PAH, and provide diagnostic and grading information for PAH. We selected 39 study participants, comprising 18 healthy volunteers and 21 patients with PAH. Morphologic and hemodynamic parameters of each participant's pulmonary arteries were obtained from 4D Flow images. Hemodynamic features were performed selected by principal component analysis (PCA). PAH identification model was built with binary logistic regression. Furthermore, A multiple linear regression (MLR) model was developed to estimate PAP, the accuracy of which was evaluated by comparing it with the value measured by right heart catheterization (RHC). PAH identification was achieved with high accuracy, using the features of pulmonary arterial morphology or blood flow velocity (BFV). Compared with RHC, MLR results showed that using pulmonary arterial morphology and BFV features in combination can greatly improve the accuracy of PAP estimation. Our results showed that the mean relative error of PAP estimation in PAH patients could reach <10 %. A highly accurate PC-MRI based method for PAH identification and PAP estimation was successfully established. Using hemodynamic features of the pulmonary artery could improve PAP estimation accuracy, which highlights the importance of hemodynamic evaluation of pulmonary arteries in the screening and diagnosis of PAH.</div></div>","PeriodicalId":33783,"journal":{"name":"Medicine in Novel Technology and Devices","volume":"26 ","pages":"Article 100354"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520107","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