Hospital-Based Medicine

Intensivists

Latest AI and machine learning research in intensivists for healthcare professionals.

6,135 articles
Stay Ahead - Weekly Intensivists research updates
Subscribe
Browse Specialties
Showing 127-147 of 6,135 articles
The emerging role of artificial intelligence in heart failure.

Heart Failure is a prevalent disease with significant impacts on morbidity and mortality. Heart fail...

Integrating MobileNetV3 and SqueezeNet for Multi-class Brain Tumor Classification.

Brain tumors pose a critical health threat requiring timely and accurate classification for effectiv...

A three-tier AI solution for equitable glaucoma diagnosis across China's hierarchical healthcare system.

Artificial intelligence (AI) offers a solution to glaucoma care inequities driven by uneven resource...

Machine learning for the prediction of urosepsis using electronic health record data.

Urosepsis, a medical condition resulting from the progression of urinary tract infection (UTI), is a...

Smart-Plexer 2.0: Leveraging New Features of Amplification Curves to Enhance the Selection of Multiplex PCR Assays in Multi-Target Identification.

Multiplex PCR plays a critical role in diagnostics by enabling the detection of multiple targets in ...

Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network.

To address misdiagnosis caused by feature coupling in multi-label medical image classification, this...

Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization.

Reliable recognition of geochemical anomalies linked to ore deposits is one of the most significant ...

DASNet a dual branch multi level attention sheep counting network.

Grassland sheep counting is essential for both animal husbandry and ecological balance. Accurate pop...

Robust Multi-contrast MRI Medical Image Translation via Knowledge Distillation and Adversarial Attack.

Medical image translation is of great value but is very difficult due to the requirement with style ...

A deep learning model for diagnosis of inherited retinal diseases.

To evaluate the performance of a multi-input deep learning (DL) model in detecting two common inheri...

A multi stage deep learning approach for real-time vehicle detection, tracking, and speed measurement in intelligent transportation systems.

In the field of intelligent transportation, accurate vehicle detection, tracking, and re-identificat...

Multi channel fusion diffusion models for brain tumor MRI data augmentation.

The early diagnosis of brain tumors is crucial for patient prognosis, and medical imaging techniques...

Multi-scale fusion semantic enhancement network for medical image segmentation.

The application of sophisticated computer vision techniques for medical image segmentation (MIS) pla...

Machine learning model and hemoglobin to red cell distribution width ratio evaluates all-cause mortality in pulmonary embolism.

The ratio of hemoglobin (Hb) to red blood cell distribution width (RDW), known as HRR, functions as ...

Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department.

This study aimed to develop and validate a transformer-based early warning score (TEWS) system for p...

Self-Powered Multimodal Tactile Sensing Enabled by Hybrid Triboelectric and Magnetoelastic Mechanisms.

Object property perception, as a core component of tactile sensing technology, faces severe challeng...

Comparative analysis of statistical and deep learning-based multi-omics integration for breast cancer subtype classification.

BACKGROUND: Breast cancer (BC) is a critical cause of cancer-related death globally. The heterogenei...

Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables.

BACKGROUND: Systematic disparities in data collection within electronic health records (EHRs), defin...

An interval type-2 fuzzy multi-criteria decision-making approach for patient bed allocation.

Effective inpatient bed management is critical for optimizing healthcare resource utilization and en...

An explainable multi-task deep learning framework for crash severity prediction using multi-source data.

Traffic accidents pose significant global challenges, causing substantial injuries, fatalities, and ...

An optimal neural network to design generators and stabilizers for multi-machine power systems based on a promoted firefly algorithm.

The purpose of this article is to investigate power system stabilizing (PSS) in multi-machine power ...

Browse Specialties