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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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Efficient method for analyzing MR real-time cines: Toward accurate quantification of left ventricular function.

BACKGROUND: To develop and assess an efficient method to identify end-expiratory end-diastolic (ED) ...

End-point impedance measurements across dominant and nondominant hands and robotic assistance with directional damping.

The goal of this paper is to perform end-point impedance measurements across dominant and nondominan...

Mobile locally operated detachable end-effector manipulator for endoscopic surgery.

PURPOSE: Local surgery is safer than remote surgery because emergencies can be more easily addressed...

Real-time and accurate stereo matching via tri-fusion volume for stereo vision.

In the field of real-time stereo matching, a concise and informative cost volume is crucial for achi...

The oral microbiome and its effect on exhaled breath volatile analysis-the elephant in the room.

The rapid transfer of volatiles from alveolar blood into the lungs and then out of the body in exhal...

End Users' Perception on an AI Chatbot in a Snus Cessation Mobile Application.

This study examines end-user perceptions of an AI chatbot as a virtual therapist through a design st...

From Text to Knowledge: An End-To-End Extraction Pipeline for Clinical Information.

This study explores the use of Large Language Models (LLMs) in extracting and structuring allergic r...

Toward Collaborative Autonomous Driving: Simulation Platform and End-to-End System.

Vehicle-to-everything-aided autonomous driving (V2X-AD) has a huge potential to provide a safer driv...

End-to-end learning of safe stimulation parameters for cortical neuroprosthetic vision.

Direct electrical stimulation of the brain via cortical visual neuroprostheses is a promising approa...

Incorporating end-user perspectives into the development of a machine learning algorithm for first time perinatal depression prediction.

OBJECTIVE: Machine learning algorithms can advance clinical care, including identifying mental healt...

Deep implicit optimization enables robust learnable features for deformable image registration.

Deep Learning in Image Registration (DLIR) methods have been tremendously successful in image regist...

GDRNPP: A Geometry-Guided and Fully Learning-Based Object Pose Estimator.

6D pose estimation of rigid objects is a long-standing and challenging task in computer vision. Rece...

Self-adaptive hybrid data-model optimization for secure end-to-end radio-over-fiber transmission.

A novel self-adaptive secure end-to-end (E2E) transmission approach is proposed for a radio-over-fib...

Implementation of 400 Gbps quantum noise stream cipher encryption for 1520 km fiber transmission using end-to-end deep learning.

In the era of large models and big data, the security of optical fiber communication backbone networ...

EB-YOLO:An efficient and lightweight blood cell detector based on the YOLO algorithm.

Blood cell detection is an important part of medical diagnosis. Object detection is trending for blo...

An end-to-end mass spectrometry data classification model with a unified architecture.

Mass spectrometry, known for its high sensitivity, selectivity, rich structural information, and rap...

Automated classification of midpalatal suture maturation stages from CBCTs using an end-to-end deep learning framework.

Accurate classification of midpalatal suture maturation stages is critical for orthodontic diagnosis...

Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis.

Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magne...

Status calibration of a pulse shaping system for the high power laser facility based on deep learning.

To achieve high-precision and high-efficiency laser pulse shaping in the front-end system of high-po...

Design of Low-Cost and Highly Energy-Efficient Convolutional Neural Networks Based on Deterministic Encoding.

Stochastic Computing has attracted extensive attention in the deployment of neural networks at the e...

Accelerated Biological Aging in Exfoliation Glaucoma Assessed by Fundus-Derived Predicted Age and Advanced Glycation End Products.

Glaucoma is an age-related neurodegenerative disease characterized by progressive optic nerve damage...

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