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Artificial intelligence in ECG-based diagnosis of low left ventricular ejection fraction: a systematic review and meta-analysis
Artificial intelligence in ECG-based diagnosis of low left ventricular ejection fraction: a systematic review and meta-analysis
Detecting Left Ventricular Systolic Dysfunction (LVSD) is crucial for counteracting heart failure progression. While Elect...
Efficient sparse-view medical image classification for low radiation and rapid COVID-19 diagnosis
Efficient sparse-view medical image classification for low radiation and rapid COVID-19 diagnosis
This study proposes a deep learning-based diagnostic model called the Projection-wise Masked Autoencoder (ProMAE) for rapi...
Machine learning detection of epileptic seizure onset zone from iEEG
Machine learning detection of epileptic seizure onset zone from iEEG
Accurate identification of seizure onset zones (SOZ) is essential for the surgical treatment of epilepsy. This narrative r...
Ipnet: informative patches learning for semi-supervised magnetic resonance image segmentation
Ipnet: informative patches learning for semi-supervised magnetic resonance image segmentation
Semi-supervised learning has become a favorable method for medical image segmentation due to the high cost of obtaining la...
Unobtrusive continuous hemodynamic monitoring method using processed heart sound signals in patients undergoing surgery: a proof of concept study
Unobtrusive continuous hemodynamic monitoring method using processed heart sound signals in patients undergoing surgery: a proof of concept study
Heart sounds provide essential information about cardiac function; however, their clinical meaning and potential for minim...
Insights into motor impairment assessment using myographic signals with artificial intelligence: a scoping review
Insights into motor impairment assessment using myographic signals with artificial intelligence: a scoping review
Myographic signals can effectively detect and assess subtle changes in muscle function; however, their measurement and ana...
Vision-language foundation models for medical imaging: a review of current practices and innovations
Vision-language foundation models for medical imaging: a review of current practices and innovations
Foundation models, including large language models and vision-language models (VLMs), have revolutionized artificial intel...
Early warning score and feasible complementary approach using artificial intelligence-based bio-signal monitoring system: a review
Early warning score and feasible complementary approach using artificial intelligence-based bio-signal monitoring system: a review
Early warning score (EWS) have become an essential component of patient safety strategies in healthcare environments world...
Characterization of time-dependent viscoelastic behaviors of alginate-calcium chloride hydrogels for bioprinting applications
Characterization of time-dependent viscoelastic behaviors of alginate-calcium chloride hydrogels for bioprinting applications
Alginate is known to readily aggregate and form a physical gel when exposed to cations, making it a promising material for...
A machine learning model for predicting the probability of hypothermia in trauma patients: a multi-center retrospective cohort study
A machine learning model for predicting the probability of hypothermia in trauma patients: a multi-center retrospective cohort study
Hypothermia, a component of the “lethal triad,” commonly complicates the condition of critically injured traum...
Lung nodule synthesis guided by customized multi-confidence masks
Lung nodule synthesis guided by customized multi-confidence masks
The generated lung nodule data plays an indispensable role in the development of intelligent assisted diagnosis of lung ca...
Survey on sampling conditioned brain images and imaging measures with generative models
Survey on sampling conditioned brain images and imaging measures with generative models
Generative models have become innovative tools across various domains, including neuroscience, where they enable the synth...
Soft, conformal tissue–electrode interfaces for bioelectronic devices: material, fabrication strategies, and applications
Soft, conformal tissue–electrode interfaces for bioelectronic devices: material, fabrication strategies, and applications
Conformal tissue–electrode interfaces play a vital role in the long-term high-performance operation of bioelectronic...
Abnormal theta- and gamma-band cortical activities during visuospatial attention in idiopathic REM sleep behavior disorder patients
Abnormal theta- and gamma-band cortical activities during visuospatial attention in idiopathic REM sleep behavior disorder patients
Purpose: Idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD) is a sleep disorder considered to be a prodrom...
Oscillometric blood pressure estimation using machine learning-based mapping of waveform features
Oscillometric blood pressure estimation using machine learning-based mapping of waveform features
Hypertension influences cardiovascular diseases, such as heart attacks and strokes. Blood pressure (BP) monitoring is esse...
Subsidence reduction effect of transforaminal lumbar interbody fusion (TLIF) with upper and lower open windows modified with lattice structure
Subsidence reduction effect of transforaminal lumbar interbody fusion (TLIF) with upper and lower open windows modified with lattice structure
Cage subsidence is a common complication following transforaminal lumbar interbody fusion (TLIF) that can lead to poor cli...
Optimized multi-stage network with multi-dimensional spatiotemporal interactions for septal and apical hypertrophic cardiomyopathy classification using 12-lead ECGs
Optimized multi-stage network with multi-dimensional spatiotemporal interactions for septal and apical hypertrophic cardiomyopathy classification using 12-lead ECGs
Hypertrophic cardiomyopathy (HCM) is a common hereditary heart disease and is the leading cause of sudden cardiac death in...
Nanoengineered cytotoxic T cells for photoacoustic image-guided combinatorial cancer therapy
Nanoengineered cytotoxic T cells for photoacoustic image-guided combinatorial cancer therapy
This study aims to demonstrate that surface engineering of cytotoxic T cells with drug-loaded nanoparticles enhances nanop...
From large language models to multimodal AI: a scoping review on the potential of generative AI in medicine
From large language models to multimodal AI: a scoping review on the potential of generative AI in medicine
Generative artificial intelligence (AI) models, such as diffusion models and OpenAI’s ChatGPT, are transforming medi...
Preclinical evaluation of a surgical assistant robot for use in minimally invasive abdominal surgeries
Preclinical evaluation of a surgical assistant robot for use in minimally invasive abdominal surgeries
In recent years, robotic assistance has become increasingly used and applied in minimally invasive surgeries. A new cooper...
Spinal tissue identification using a Forward-oriented endoscopic ultrasound technique
Spinal tissue identification using a Forward-oriented endoscopic ultrasound technique
The limited imaging depth of optical endoscope restrains the identification of tissues under surface during the minimally ...
Expansion of stereotactic work envelope using transformation matrices and geometric algebra for neurosurgery
Expansion of stereotactic work envelope using transformation matrices and geometric algebra for neurosurgery
Stereotactic systems have traditionally used Cartesian coordinate combined with linear algebraic mathematical models to na...
A high performance heterogeneous hardware architecture for brain computer interface
A high performance heterogeneous hardware architecture for brain computer interface
Brain–computer interface (BCI) has been widely used in human–computer interaction. The introduction of artific...
Unveiling the endocrine connections of NAFLD: evidence from a comprehensive mendelian randomization study
Unveiling the endocrine connections of NAFLD: evidence from a comprehensive mendelian randomization study
NAFLD is gaining recognition as a complex, multifactorial condition with suspected associations with endocrine disorders. ...
Speech-mediated manipulation of da Vinci surgical system for continuous surgical flow
Speech-mediated manipulation of da Vinci surgical system for continuous surgical flow
With the advent of robot-assisted surgery, user-friendly technologies have been applied to the da Vinci surgical system (d...
Driver fatigue recognition using limited amount of individual electroencephalogram
Driver fatigue recognition using limited amount of individual electroencephalogram
This study aims to create a fatigue recognition system that utilizes electroencephalogram (EEG) signals to assess a driver...
Brain-inspired learning rules for spiking neural network-based control: a tutorial
Brain-inspired learning rules for spiking neural network-based control: a tutorial
Robotic systems rely on spatio-temporal information to solve control tasks. With advancements in deep neural networks, rei...
Sensitivity Analysis of Microstrip Patch Antenna Genres: Slotted and Through-hole Microstrip Patch Antenna
Sensitivity Analysis of Microstrip Patch Antenna Genres: Slotted and Through-hole Microstrip Patch Antenna
This paper demonstrates real-time, label-free, contact-based glucose sensor design of inset-fed Microstrip Patch Antenna (...
Enhanced diagnosis of pes planus and pes cavus using deep learning-based segmentation of weight-bearing lateral foot radiographs: a comparative observer study
Enhanced diagnosis of pes planus and pes cavus using deep learning-based segmentation of weight-bearing lateral foot radiographs: a comparative observer study
A weight-bearing lateral radiograph (WBLR) of the foot is a gold standard for diagnosing adult-acquired flatfoot deformity...
Assessment of conductive textile-based electrocardiogram measurement for the development of a lonely death prevention system
Assessment of conductive textile-based electrocardiogram measurement for the development of a lonely death prevention system
The rise in individuals living alone in ageing societies raises concerns about social isolation and associated health risk...
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