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Care of terminally ill / Palliative care

Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.

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An end-to-end approach to segmentation in medical images with CNN and posterior-CRF.

Conditional Random Fields (CRFs) are often used to improve the output of an initial segmentation mod...

An Explainable Machine Learning Model for Material Backorder Prediction in Inventory Management.

Global competition among businesses imposes a more effective and low-cost supply chain allowing firm...

Direct pixel to pixel principal strain mapping from tagging MRI using end to end deep convolutional neural network (DeepStrain).

Regional soft tissue mechanical strain offers crucial insights into tissue's mechanical function and...

Realization of Force Detection and Feedback Control for Slave Manipulator of Master/Slave Surgical Robot.

Robot-assisted minimally invasive surgery (MIS) has received increasing attention, both in the acade...

Artificial Intelligence for Autonomous Molecular Design: A Perspective.

Domain-aware artificial intelligence has been increasingly adopted in recent years to expedite molec...

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine.

Recent global developments underscore the prominent role big data have in modern medical science. Bu...

Combined Feedback Feedforward Control of a 3-Link Musculoskeletal System Based on the Iterative Training Method.

The investigation and study of the limbs, especially the human arm, have inspired a wide range of hu...

Robotic end-to-end fusion of microtubules powered by kinesin.

The active assembly of molecules by nanorobots has advanced greatly since “molecular manufacturing”—...

Nonlinear time delay estimation based model reference adaptive impedance control for an upper-limb human-robot interaction.

A nonlinear Time Delay Estimation (TDE) based model reference adaptive impedance controller was deve...

Deep Learning-Based Methods for Sentiment Analysis on Nepali COVID-19-Related Tweets.

COVID-19 has claimed several human lives to this date. People are dying not only because of physical...

ColGen: An end-to-end deep learning model to predict thermal stability of de novo collagen sequences.

Collagen is the most abundant structural protein in humans, with dozens of sequence variants account...

End-to-end learning for compound activity prediction based on binding pocket information.

BACKGROUND: Recently, machine learning-based ligand activity prediction methods have been greatly im...

Long-Term Ship Position Prediction Using Automatic Identification System (AIS) Data and End-to-End Deep Learning.

The establishment of maritime safety and security is an important concern. Ship position prediction ...

KerNet: A Novel Deep Learning Approach for Keratoconus and Sub-Clinical Keratoconus Detection Based on Raw Data of the Pentacam HR System.

Keratoconus is one of the most severe corneal diseases, which is difficult to detect at the early st...

Gallstone Disease in Cirrhosis-Pathogenesis and Management.

Gallstones are more common in patients with cirrhosis of the liver, and the incidence increases with...

The effect of consuming different proportions of hummer fish on biochemical and histopathological changes of hyperglycemic rats.

Hammour fish (grouper fish) are known to be of great nutritional value for human consumption, as the...

AAWS-Net: Anatomy-aware weakly-supervised learning network for breast mass segmentation.

Accurate segmentation of breast masses is an essential step in computer aided diagnosis of breast ca...

LwF-ECG: Learning-without-forgetting approach for electrocardiogram heartbeat classification based on memory with task selector.

Most existing Electrocardiogram (ECG) classification methods assume that all arrhythmia classes are ...

Exoskeleton end-effector robot-assisted therapy for finger-hand motor recovery in stroke survivors: systematic review and meta-analysis.

INTRODUCTION: The growing number of stroke survivors with residual hand disabilities requires the de...

Refined UNet v3: Efficient end-to-end patch-wise network for cloud and shadow segmentation with multi-channel spectral features.

Semantic segmentation is one of the essential prerequisites for computer vision tasks, but edge-prec...

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