Improving vertebral diagnosis in computed tomography scans: a clinically oriented attention-driven asymmetric convolution network for segmentation

2024-9-1

Challenges in standardizing image quality across diverse ultrasound devices

2024-9-1

Application of statistical shape models in orthopedics: a narrative review

2024-9-1

Computing, data, and the role of general practitioners and general practice in England

2024-8-1

Increasing the accuracy and reproducibility of positron emission tomography radiomics for predicting pelvic lymph node metastasis in patients with cervical cancer using 3D local binary pattern-based texture features

2024-7-1

Improved neurological diagnoses and treatment strategies via automated human brain tissue segmentation from clinical magnetic resonance imaging

2024-7-1

Application of graph-curvature features in computer-aided diagnosis for histopathological image identification of gastric cancer

2024-6-1

Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data

2024-6-1

Guide for Authors

2024-5-1

Detecting somatisation disorder via speech: introducing the Shenzhen Somatisation Speech Corpus

2024-5-1

Development and validation of a nomogram prediction model for the risk of parastomal hernia

2024-5-1

An end-to-end infant brain parcellation pipeline

2024-5-1

Deep learning methods for noisy sperm image classification from convolutional neural network to visual transformer: a comprehensive comparative study

2024-5-1

A clinical decision support system using rough set theory and machine learning for disease prediction

2024-4-1

A computed tomography-based radiomic model for the prediction of strangulation risk in patients with acute intestinal obstruction

2024-2-1

Generative pretrained transformer 4: an innovative approach to facilitate value-based healthcare

2024-2-1

Clinically adaptable machine learning model to identify early appreciable features of diabetes in Bangladesh

2024-2-1

A hierarchical clustering approach for colorectal cancer molecular subtypes identification from gene expression data

2024-2-1

Guide for Authors

2024-2-1

Millimeter waves in medical applications: status and prospects

2024-2-1

Three-dimensional digital technology-assisted precise tumor resection and reconstruction of the femoral trochanter and postoperative functional recovery: a retrospective study

2023-11-1

Tongue diagnosis based on hue-saturation value color space: controlled study of tongue appearance in patients treated with percutaneous coronary intervention for coronary heart disease

2023-11-1

Arthroscopic scene segmentation using multispectral reconstructed frames and deep learning

2023-11-1

Guide for Authors

2023-11-1

Recommendation on data collection and annotation of ocular appearance images in ptosis

2023-11-1

Neuropsychological detection and prediction using machine learning algorithms: a comprehensive review

2023-10-1

Anti-hepatic carcinoma mechanisms of calycosin through targeting ferroptosis

2023-8-1

A hybrid system to predict brain stroke using a combined feature selection and classifier

2023-8-1

A hybrid network integrating convolution and transformer for thymoma segmentation

2023-8-1

Guide for Authors

2023-8-1

Tuberculosis screening among children and adolescents in China: insights from a mathematical model

2023-8-1

State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review

2023-8-1

Automated assessment of transthoracic echocardiogram image quality using deep neural networks

2023-8-1

The standardized design and application guidelines: A primary-oriented artificial intelligence screening system of the lesion sign in the macular region based on fundus color photography

2023-8-1

Medical artificial intelligence and the black box problem: a view based on the ethical principle of “do no harm”

2023-8-1

Atherosclerotic plaque classification in carotid ultrasound images using machine learning and explainable deep learning

2023-7-1

Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images

2023-7-1

An early screening model of pulse detection technology for hepatic steatosis

2023-5-11

ArthroNet: a monocular depth estimation technique with 3D segmented maps for knee arthroscopy

2023-5-1

Application of transfer learning and ensemble learning in image-level classification for breast histopathology

2023-5-1

Internet-based nationwide evaluation of patient preferences for mobile health features in ankylosing spondylitis

2023-5-1

Reflection on the equitable attribution of responsibility for artificial intelligence-assisted diagnosis and treatment decisions

2023-5-1

Guide for Authors

2023-5-1

Big data technology in infectious diseases modeling, simulation, and prediction after the COVID-19 outbreak

2023-5-1

Fluid–structure interaction simulation of pathological mitral valve dynamics in a coupled mitral valve-left ventricle model

2023-5-1

Expert recommendation on collection, storage, annotation, and management of data related to medical artificial intelligence

2023-5-1

Impact of data balancing a multiclass dataset before the creation of association rules to study bacterial vaginosis

2023-3-1

A predictive model of death from cerebrovascular diseases in intensive care units

2023-2-23

Importance of complementary data to histopathological image analysis of oral leukoplakia and carcinoma using deep neural networks

2023-2-6

Clinically adaptable machine learning model to identify early appreciable features of diabetes in Bangladesh

2023-2-4