Nephrology

Anemia

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

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Nephrology Subcategories: Anemia End Stage Renal Disease
Showing 316-336 of 3,517 articles
DeepRHD: An efficient hybrid feature extraction technique for protein remote homology detection using deep learning strategies.

In computational biology, the Protein Remote homology Detection technique (PRHD) has got undeniable ...

Artificial intelligence for diagnosing gastric lesions under white-light endoscopy.

BACKGROUND: The ability of endoscopists to identify gastric lesions is uneven. Even experienced endo...

Identifying endotypes of individuals after an attack of pancreatitis based on unsupervised machine learning of multiplex cytokine profiles.

After an attack of pancreatitis, individuals may develop metabolic sequelae (eg, new-onset diabetes)...

IGBT Fault Prediction Combining Terminal Characteristics and Artificial Intelligence Neural Network.

The insulated gate bipolar transistor (IGBT) is widely utilized in the transportation, power, and en...

Provisional Decision-Making for Perioperative Blood Pressure Management: A Narrative Review.

Blood pressure (BP) is a basic determinant for organ blood flow supply. Insufficient blood supply wi...

A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection.

Recently, the novel coronavirus disease 2019 (COVID-19) has posed many challenges to the research co...

Intelligent Analysis of Exercise Health Big Data Based on Deep Convolutional Neural Network.

In this paper, the algorithm of the deep convolutional neural network is used to conduct in-depth re...

Lower-extremity fatigue fracture detection and grading based on deep learning models of radiographs.

OBJECTIVES: To identify the feasibility of deep learning-based diagnostic models for detecting and a...

Impact of the suboptimal communication network environment on telerobotic surgery performance and surgeon fatigue.

BACKGROUND: Remote surgery social implementation necessitates achieving low latency and highly relia...

Explainable machine learning for precise fatigue crack tip detection.

Data-driven models based on deep learning have led to tremendous breakthroughs in classical computer...

A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions.

The continuous monitoring of an individual's breathing can be an instrument for the assessment and e...

Road Surface Anomaly Assessment Using Low-Cost Accelerometers: A Machine Learning Approach.

Roads are a strategic asset of a country and are of great importance for the movement of passengers ...

Reversing radiation-induced immunosuppression using a new therapeutic modality.

Radiation-induced immune suppression poses significant health challenges for millions of patients un...

Improved and Secured Electromyography in the Internet of Health Things.

Physiological signals are of great importance for clinical analysis but are prone to diverse interfe...

EMG-driven fatigue-based self-adapting admittance control of a hand rehabilitation robot.

Upper-limb rehabilitation therapy sessions for post-stroke people generally contain rhythmic hand mo...

A non-invasive approach to monitor anemia during long-duration spaceflight with retinal fundus images and deep learning.

During spaceflight, astronauts can experience significantly higher levels of hemolysis. With future ...

Telerobotic neurovascular interventions with magnetic manipulation.

Advances in robotic technology have been adopted in various subspecialties of both open and minimall...

A Photoelectric Spiking Neuron for Visual Depth Perception.

The biological visual system encodes optical information into spikes and processes them by the neura...

Design and experimental validation of a master manipulator with position and posture decoupling for laparoscopic surgical robot.

BACKGROUND: The master manipulator with position and posture decoupling and force feedback can impro...

Research on exercise fatigue estimation method of Pilates rehabilitation based on ECG and sEMG feature fusion.

PURPOSE: Surface electromyography (sEMG) is vulnerable to environmental interference, low recognitio...

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