Hospital-Based Medicine

Intensivists

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

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Showing 2017-2037 of 6,177 articles
Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis.

Digitizing whole-slide imaging in digital pathology has led to the advancement of computer-aided tis...

Multi-legged steering and slipping with low DoF hexapod robots.

Thanks to their sprawled posture and multi-legged support, stability is not as hard to achieve for h...

Multi-feature fusion for deep learning to predict plant lncRNA-protein interaction.

Long non-coding RNAs (lncRNAs) play key roles in regulating cellular biological processes through di...

Deep Multi-Critic Network for accelerating Policy Learning in multi-agent environments.

Humans live among other humans, not in isolation. Therefore, the ability to learn and behave in mult...

A Diagnostic Algorithm using Multi-parametric MRI to Differentiate Benign from Malignant Myometrial Tumors: Machine-Learning Method.

This study aimed to develop a diagnostic algorithm for preoperative differentiating uterine sarcoma ...

Multi-view deep learning for rigid gas permeable lens base curve fitting based on Pentacam images.

Many studies in the rigid gas permeable (RGP) lens fitting field have focused on providing the best ...

Investigation of pulmonary nodule classification using multi-scale residual network enhanced with 3DGAN-synthesized volumes.

It is often difficult to distinguish between benign and malignant pulmonary nodules using only image...

Exploration of critical care data by using unsupervised machine learning.

BACKGROUND AND OBJECTIVE: Identification of subgroups may be useful to understand the clinical chara...

Bio-inspired multi-scale fusion.

We reveal how implementing the homogeneous, multi-scale mapping frameworks observed in the mammalian...

Multi-part and scale adaptive visual tracker based on kernel correlation filter.

Accurate visual tracking is a challenging issue in computer vision. Correlation filter (CF) based me...

Implementation of an Artificial Intelligence Algorithm for sepsis detection.

OBJECTIVES: to present the nurses' experience with technological tools to support the early identifi...

Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.

PURPOSE: Needle-based procedures for diagnosing and treating prostate cancer, such as biopsy and bra...

Unveiling new disease, pathway, and gene associations via multi-scale neural network.

Diseases involve complex modifications to the cellular machinery. The gene expression profile of the...

Multi-Level-Phase Deep Learning Using Divide-and-Conquer for Scaffolding Safety.

A traditional structural analysis of scaffolding structures requires loading conditions that are onl...

A fusion framework based on multi-domain features and deep learning features of phonocardiogram for coronary artery disease detection.

Phonocardiogram (PCG) signals reflect the mechanical activity of the heart. Previous studies have re...

A Multi-task Learning Model for Daily Activity Forecast in Smart Home.

Daily activity forecasts play an important role in the daily lives of residents in smart homes. Cate...

Estimating gene expression from DNA methylation and copy number variation: A deep learning regression model for multi-omics integration.

Gene expression analysis plays a significant role for providing molecular insights in cancer. Variou...

Multi-modular AI Approach to Streamline Autism Diagnosis in Young Children.

Autism has become a pressing healthcare challenge. The instruments used to aid diagnosis are time an...

Brain-Controlled Robotic Arm System Based on Multi-Directional CNN-BiLSTM Network Using EEG Signals.

Brain-machine interfaces (BMIs) can be used to decode brain activity into commands to control extern...

Multi-Person Pose Estimation Using an Orientation and Occlusion Aware Deep Learning Network.

Image based human behavior and activity understanding has been a hot topic in the field of computer ...

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