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 295-315 of 3,517 articles
Technical evaluation of robotic tele-cholecystectomy: a randomized single-blind controlled pilot study.

Although robotic telesurgery is growing in popularity, the benefits of telesurgery compared to local...

Unusual Driver Behavior Detection in Videos Using Deep Learning Models.

Anomalous driving behavior detection is becoming more popular since it is vital in ensuring the safe...

Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity.

Bottom-up models of functionally relevant patterns of neural activity provide an explicit link betwe...

Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human-Robot Architecture for Search and Rescue.

The roles of emergency responders are challenging and often physically demanding, so it is essential...

A CNN-RNN unified framework for intrapartum cardiotocograph classification.

BACKGROUND AND OBJECTIVE: Prenatal fetal monitoring, which can monitor the growth and health of the ...

Efficacy and Safety of the "Trisection Method" Training System for Robot-Assisted Radical Cystectomy at a Single Institution in Japan.

To maintain a surgeon's concentration, reduce fatigue, and train young surgeons, surgical procedures...

Forecasting medical state transition using machine learning methods.

Early circulatory failure detection is an effective way to reduce medical fatigue and improve state ...

Generalisable machine learning models trained on heart rate variability data to predict mental fatigue.

A prolonged period of cognitive performance often leads to mental fatigue, a psychobiological state ...

Prediction of anemia using facial images and deep learning technology in the emergency department.

BACKGROUND: According to the WHO, anemia is a highly prevalent disease, especially for patients in t...

Diaphragmatic paralysis post COVID-19 treated with robot-assisted plication reinforced with acellular dermal matrix: a report of two cases.

Coronavirus disease 2019 (COVID-19) continues to be a disease of global importance, with an increasi...

A real-time driver fatigue identification method based on GA-GRNN.

It is of great practical and theoretical significance to identify driver fatigue state in real time ...

Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm.

BACKGROUND: More than 115,000 maternal deaths and 591,000 prenatal deaths occurred in the world per ...

Impact of Label Noise on the Learning Based Models for a Binary Classification of Physiological Signal.

Label noise is omnipresent in the annotations process and has an impact on supervised learning algor...

Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze Patterns.

Around 60-80% of radiological errors are attributed to overlooked abnormalities, the rate of which i...

A Deep Learning Approach to Classify Sitting and Sleep History from Raw Accelerometry Data during Simulated Driving.

Prolonged sitting and inadequate sleep can impact driving performance. Therefore, objective knowledg...

Physiological and perceptual consequences of trust in collaborative robots: An empirical investigation of human and robot factors.

Measuring trust is an important element of effective human-robot collaborations (HRCs). It has large...

Application of an EMG-Rehabilitation Robot in Patients with Post-Coronavirus Fatigue Syndrome (COVID-19)-A Feasibility Study.

This pilot study aimed to assess the safety and feasibility of an EMG-driven rehabilitation robot in...

Recycling waste classification using emperor penguin optimizer with deep learning model for bioenergy production.

The growth and implementation of biofuels and bioenergy conversion technologies play an important pa...

Application of Machine Learning in Hospitalized Patients with Severe COVID-19 Treated with Tocilizumab.

Among the IL-6 inhibitors, tocilizumab is the most widely used therapeutic option in patients with S...

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