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Journals Computer Methods and Programs ...

Computer Methods and Programs in Biomedicine

https://read.qxmd.com/read/38996804/automatic-semantic-segmentation-of-ehg-recordings-by-deep-learning-an-approach-to-a-screening-tool-for-use-in-clinical-practice
#1
JOURNAL ARTICLE
Félix Nieto-Del-Amor, Yiyao Ye-Lin, Rogelio Monfort-Ortiz, Vicente Jose Diago-Almela, Fernando Modrego-Pardo, Jose L Martinez-de-Juan, Dongmei Hao, Gema Prats-Boluda
BACKGROUND AND OBJECTIVE: Preterm delivery is an important factor in the disease burden of the newborn and infants worldwide. Electrohysterography (EHG) has become a promising technique for predicting this condition, thanks to its high degree of sensitivity. Despite the technological progress made in predicting preterm labor, its use in clinical practice is still limited, one of the main barriers being the lack of tools for automatic signal processing without expert supervision, i.e. automatic screening of motion and respiratory artifacts in EHG records...
July 5, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38991374/from-pixels-to-druggable-leads-a-cadd-strategy-for-the-design-and-synthesis-of-potent-ddr1-inhibitors
#2
JOURNAL ARTICLE
Hossam Nada, Sungdo Kim, Cho Jaemin, Suin Park, Yongseok Choi, Moo Yeol Lee, Kyeong Lee
BACKGROUND AND OBJECTIVE: While numerous in silico tools exist for target-based drug discovery, the inconsistent integration of in vitro data with predictive models hinders research and development productivity. This is particularly apparent during the Hit-to-Lead stage, where unreliable in-silico tools often lead to suboptimal lead selection. Herein, we address this challenge by presenting a CADD-guided pipeline that successfully integrates rational drug design with in-silico hits to identify a promising DDR1 lead...
July 5, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38991373/cpss-fusing-consistency-regularization-and-pseudo-labeling-techniques-for-semi-supervised-deep-cardiovascular-disease-detection-using-all-unlabeled-electrocardiograms
#3
JOURNAL ARTICLE
Jiguang Shi, Wenhan Liu, Huaicheng Zhang, Sheng Chang, Hao Wang, Jin He, Qijun Huang
BACKGROUND AND OBJECTIVE: Deep learning usually achieves good performance in the supervised way, which requires a large amount of labeled data. However, manual labeling of electrocardiograms (ECGs) is laborious that requires much medical knowledge. Semi-supervised learning (SSL) provides an effective way of leveraging unlabeled data to improve model performance, providing insight for solving this problem. The objective of this study is to improve the performance of cardiovascular disease (CVD) detection by fully utilizing unlabeled ECG...
July 4, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38968827/pleural-lung-sliding-quantification-using-a-speckle-tracking-technology-a-feasibility-study-on-30-healthy-volunteers
#4
JOURNAL ARTICLE
Gary Duclos, Ludivine Marecal, Noemie Resseguier, Martin Postzich, Chloe Taguet, Sami Hraiech, Marc Leone, Laurent Müller, Laurent Zieleskiewicz
INTRODUCTION: Speckle tracking technology quantifies lung sliding and detects lung sliding abolition in case of pneumothorax on selected ultrasound loops through the analysis of acoustic markers. OBJECTIVES: We aimed to test the ability of speckle tracking technology to quantify lung sliding using a pleural strain value (PS). METHODS: We performed a prospective study in 30 healthy volunteers in whom we assessed the pleural speckle tracking using ultrasound loops...
July 2, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38968829/a-deep-learning-approach-for-overall-survival-prediction-in-lung-cancer-with-missing-values
#5
JOURNAL ARTICLE
Camillo Maria Caruso, Valerio Guarrasi, Sara Ramella, Paolo Soda
BACKGROUND AND OBJECTIVE: In the field of lung cancer research, particularly in the analysis of overall survival (OS), artificial intelligence (AI) serves crucial roles with specific aims. Given the prevalent issue of missing data in the medical domain, our primary objective is to develop an AI model capable of dynamically handling this missing data. Additionally, we aim to leverage all accessible data, effectively analyzing both uncensored patients who have experienced the event of interest and censored patients who have not, by embedding a specialized technique within our AI model, not commonly utilized in other AI tasks...
June 28, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38968828/memory-impacts-in-hepatitis-c-a-global-analysis-of-a-fractional-order-model-with-an-effective-treatment
#6
JOURNAL ARTICLE
Parvaiz Ahmad Naik, Mehmet Yavuz, Sania Qureshi, Mehraj-Ud-Din Naik, Kolade M Owolabi, Amanullah Soomro, Abdul Hamid Ganie
BACKGROUND AND OBJECTIVE: Hepatitis virus infections are affecting millions of people worldwide, causing death, disability, and considerable expenditure. Chronic infection with hepatitis C virus (HCV) can cause severe public health problems because of their high prevalence and poor long-term clinical outcomes. Thus a fractional-order epidemic model of the hepatitis C virus involving partial immunity under the influence of memory effect to know the transmission patterns and prevalence of HCV infection is studied...
June 28, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38954915/assessing-chatgpt-s-ability-to-emulate-human-reviewers-in-scientific-research-a-descriptive-and-qualitative-approach
#7
JOURNAL ARTICLE
Aiman Suleiman, Dario von Wedel, Ricardo Munoz-Acuna, Simone Redaelli, Abeer Santarisi, Eva-Lotte Seibold, Nikolai Ratajczak, Shinichiro Kato, Nader Said, Eswar Sundar, Valerie Goodspeed, Maximilian S Schaefer
BACKGROUND: ChatGPT is an AI platform whose relevance in the peer review of scientific articles is steadily growing. Nonetheless, it has sparked debates over its potential biases and inaccuracies. This study aims to assess ChatGPT's ability to qualitatively emulate human reviewers in scientific research. METHODS: We included the first submitted version of the latest twenty original research articles published by the 3rd of July 2023, in a high-profile medical journal...
June 28, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38943986/corrigendum-to-in-silico-hemodynamical-simulations-show-additional-benefits-of-artery-wall-softening-induced-by-antihypertensive-drugs-computer-methods-and-programs-in-biomedicine-volume-245-2024-1-10-108016
#8
Jiří Jagoš, Jiří Kohút, Tomáš Novotný, Tomáš Křivka, Petr Hájek, Martin Formánek, Ondřej Lisický, Jiří Burša
No abstract text is available yet for this article.
June 28, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38996805/development-of-ai-generated-medical-responses-using-the-chatgpt-for-cancer-patients
#9
JOURNAL ARTICLE
Jae-Woo Lee, In-Sang Yoo, Ji-Hye Kim, Won Tae Kim, Hyun Jeong Jeon, Hyo-Sun Yoo, Jae Gwang Shin, Geun-Hyeong Kim, ShinJi Hwang, Seung Park, Yong-June Kim
BACKGROUND AND OBJECTIVE: To develop a healthcare chatbot service (AI-guided bot) that conducts real-time conversations using large language models to provide accurate health information to patients. METHODS: To provide accurate and specialized medical responses, we integrated several cancer practice guidelines. The size of the integrated meta-dataset was 1.17 million tokens. The integrated and classified metadata were extracted, transformed into text, segmented to specific character lengths, and vectorized using the embedding model...
June 26, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38981143/influence-of-genetic-mutations-to-atria-vulnerability-to-atrial-fibrillation-an-in-silico-3d-human-atria-study
#10
JOURNAL ARTICLE
Rebecca Belletti, Joaquín Osca, Lucia Romero Perez, Javier Saiz
BACKGROUND AND OBJECTIVE: Personalized 3D computer models of atria have been extensively implemented in the last yearsas a tool to facilitate the understanding of the mechanisms underlying different forms of arrhythmia, such as atrial fibrillation (AF). Meanwhile, genetic mutations acting on potassium channel dynamics were demonstrated to induce fibrillatory episodes in asymptomatic patients. This research study aims at assessing the effects and the atrial susceptibility to AF of three gain-of-function mutations - namely, KCNH2 T895M, KCNH2 T436M, and KCNE3-V17M - associated with AF outbreaks, using highly detailed 3D atrial models with realistic wall thickness and heterogenous histological properties...
June 26, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38996803/survival-prediction-in-second-primary-breast-cancer-patients-with-machine-learning-an-analysis-of-seer-database
#11
JOURNAL ARTICLE
Yafei Wu, Yaheng Zhang, Siyu Duan, Chenming Gu, Chongtao Wei, Ya Fang
BACKGROUND: Studies have found that first primary cancer (FPC) survivors are at high risk of developing second primary breast cancer (SPBC). However, there is a lack of prognostic studies specifically focusing on patients with SPBC. METHODS: This retrospective study used data from Surveillance, Epidemiology and End Results Program. We selected female FPC survivors diagnosed with SPBC from 12 registries (from January 1998 to December 2018) to construct prognostic models...
June 25, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38954917/suppressing-the-hifu-interference-in-ultrasound-guiding-images-with-a-diffusion-based-deep-learning-model
#12
JOURNAL ARTICLE
Dejia Cai, Kun Yang, Xintao Liu, Jiahong Xu, Yao Ran, Yang Xu, Xiaowei Zhou
BACKGROUND AND OBJECTIVES: In ultrasound guided high-intensity focused ultrasound (HIFU) surgery, it is necessary to transmit sound waves at different frequencies simultaneously using two transducers: one for the HIFU therapy and another for the ultrasound imaging guidance. In this specific setting, real-time monitoring of non-invasive surgery is challenging due to severe contamination of the ultrasound guiding images by strong acoustic interference from the HIFU sonication. METHODS: This paper proposed the use of a deep learning (DL) solution, specifically a diffusion implicit model, to suppress the HIFU interference...
June 25, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38959599/pyceps-a-cross-platform-electroanatomic-mapping-data-to-computational-model-conversion-platform-for-the-calibration-of-digital-twin-models-of-cardiac-electrophysiology
#13
JOURNAL ARTICLE
Robert Arnold, Anton J Prassl, Aurel Neic, Franz Thaler, Christoph M Augustin, Matthias A F Gsell, Karli Gillette, Martin Manninger, Daniel Scherr, Gernot Plank
BACKGROUND AND OBJECTIVE: Data from electro-anatomical mapping (EAM) systems are playing an increasingly important role in computational modeling studies for the patient-specific calibration of digital twin models. However, data exported from commercial EAM systems are challenging to access and parse. Converting to data formats that are easily amenable to be viewed and analyzed with commonly used cardiac simulation software tools such as openCARP remains challenging. We therefore developed an open-source platform, pyCEPS, for parsing and converting clinical EAM data conveniently to standard formats widely adopted within the cardiac modeling community...
June 24, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38943985/role-of-the-vessel-morphology-on-the-lenticulostriate-arteries-hemodynamics-during-atrial-fibrillation-a-cfd-based-multivariate-regression-analysis
#14
JOURNAL ARTICLE
Andrea Saglietto, Francesco Tripoli, Jaco Zwanenburg, Geert Jan Biessels, Gaetano Maria De Ferrari, Matteo Anselmino, Luca Ridolfi, Stefania Scarsoglio
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is the most common cardiac arrhythmia, inducing accelerated and irregular beating. Beside well-known disabling symptoms - such as palpitations, reduced exercise tolerance, and chest discomfort - there is growing evidence that an alteration of deep cerebral hemodynamics due to AF increases the risk of vascular dementia and cognitive impairment, even in the absence of clinical strokes. The alteration of deep cerebral circulation in AF represents one of the least investigated among the possible mechanisms...
June 24, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38941860/impact-of-geometric-and-hemodynamic-changes-on-a-mechanobiological-model-of-atherosclerosis
#15
JOURNAL ARTICLE
Patricia Hernández-López, Myriam Cilla, Miguel A Martínez, Estefanía Peña, Mauro Malvè
BACKGROUND AND OBJECTIVE: In this work, the analysis of the importance of hemodynamic updates on a mechanobiological model of atheroma plaque formation is proposed. METHODS: For that, we use an idealized and axisymmetric model of carotid artery. In addition, the behavior of endothelial cells depending on hemodynamical changes is analyzed too. A total of three computational simulations are carried out and their results are compared: an uncoupled model and two models that consider the opposite behavior of endothelial cells caused by hemodynamic changes...
June 24, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38936151/emg-based-prediction-of-step-direction-for-a-better-control-of-lower-limb-wearable-devices
#16
JOURNAL ARTICLE
Eugenio Anselmino, Alberto Mazzoni, Silvestro Micera
BACKGROUND AND OBJECTIVES: Lower-limb wearable devices can significantly improve the quality of life of subjects suffering from debilitating conditions, such as amputations, neurodegenerative disorders, and stroke-related impairments. Current control approaches, limited to forward walking, fall short of replicating the complexity of human locomotion in complex environments, such as uneven terrains or crowded places. Here we propose a high-level controller based on two Support Vector Machines exploiting four surface electromyography (EMG) signals of the thigh muscles to detect the onset (Toe-off intention decoder) and the direction (Directional EMG decoder) of the upcoming step...
June 24, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38954916/siamese-graph-convolutional-network-quantifies-increasing-structure-function-discrepancy-over-the-cognitive-decline-continuum
#17
JOURNAL ARTICLE
Gurur Gamgam, Zerrin Yıldırım, Alkan Kabakçıoğlu, Hakan Gurvit, Tamer Demiralp, Burak Acar
BACKGROUND AND OBJECTIVE: Alzheimer's disease dementia (ADD) is well known to induce alterations in both structural and functional brain connectivity. However, reported changes in connectivity are mostly limited to global/local network features, which have poor specificity for diagnostic purposes. Following recent advances in machine learning, deep neural networks, particularly Graph Neural Network (GNN) based approaches, have found applications in brain research as well. The majority of existing applications of GNNs employ a single network (uni-modal or structure/function unified), despite the widely accepted view that there is a nontrivial interdependence between the brain's structural connectivity and the neural activity patterns, which is hypothesized to be disrupted in ADD...
June 22, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38936153/experimentally-validated-modeling-of-dynamic-drug-herg-channel-interactions-reproducing-the-binding-mechanisms-and-its-importance-in-action-potential-duration
#18
JOURNAL ARTICLE
Fernando Escobar, Soren Friis, Nouran Adly, Nina Brinkwirth, Julio Gomis-Tena, Javier Saiz, Dan A Klaerke, Sonja Stoelzle-Feix, Lucia Romero
BACKGROUND AND OBJECTIVE: Assessment of drug cardiotoxicity is critical in the development of new compounds and modeling of drug-binding dynamics to hERG can improve early cardiotoxicity assessment. We previously developed a methodology to generate Markovian models reproducing preferential state-dependent binding properties, trapping dynamics and the onset of IKr block using simple voltage clamp protocols. Here, we test this methodology with real IKr blockers and investigate the impact of drug dynamics on action potential prolongation...
June 22, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38941861/differentiation-of-glioblastoma-from-solitary-brain-metastasis-using-deep-ensembles-empirical-estimation-of-uncertainty-for-clinical-reliability
#19
JOURNAL ARTICLE
Yae Won Park, Sujeong Eom, Seungwoo Kim, Sungbin Lim, Ji Eun Park, Ho Sung Kim, Seng Chan You, Sung Soo Ahn, Seung-Koo Lee
BACKGROUND AND OBJECTIVES: To develop a clinically reliable deep learning model to differentiate glioblastoma (GBM) from solitary brain metastasis (SBM) by providing predictive uncertainty estimates and interpretability. METHODS: A total of 469 patients (300 GBM, 169 SBM) were enrolled in the institutional training set. Deep ensembles based on DenseNet121 were trained on multiparametric MRI. The model performance was validated in the external test set consisting of 143 patients (101 GBM, 42 SBM)...
June 21, 2024: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38936152/source-localization-comparison-and-combination-of-opm-meg-and-fmri-to-detect-sensorimotor-cortex-responses
#20
JOURNAL ARTICLE
Nan An, Zhenfeng Gao, Wen Li, Fuzhi Cao, Wenli Wang, Weinan Xu, Chunhui Wang, Min Xiang, Yang Gao, Dawei Wang, Dexin Yu, Xiaolin Ning
BACKGROUND AND OBJECTIVES: The exploration of various neuroimaging techniques have become focal points within the field of neuroscience research. Magnetoencephalography based on optically pumped magnetometers (OPM-MEG) has shown significant potential to be the next generation of functional neuroimaging with the advantages of high signal intensity and flexible sensor arrangement. In this study, we constructed a 31-channel OPM-MEG system and performed a preliminary comparison of the temporal and spatial relationship between magnetic responses measured by OPM-MEG and blood-oxygen-level-dependent signals detected by functional magnetic resonance imaging (fMRI) during a grasping task...
June 21, 2024: Computer Methods and Programs in Biomedicine
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