Care of terminally ill / Palliative care

Enhancing Brain Source Reconstruction by Initializing 3D Neural Networks with Physical Inverse Solutions.

Reconstructing brain sources is a fundamental challenge in neuroscience, crucial for understanding b...

A Trust-Guided Approach to MR Image Reconstruction with Side Information.

Reducing MRI scan times can improve patient care and lower healthcare costs. Many acceleration metho...

ProWaste for proactive urban waste management using IoT and machine learning.

Urban waste-collection centres (WCCs) routinely overflow because maintenance routes are scheduled re...

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...

AI-Assisted Semiquantitative Measurement of Murine Bleomycin-Induced Lung Fibrosis Using In Vivo Micro-CT: An End-to-End Approach.

Small animal models are crucial for investigating idiopathic pulmonary fibrosis (IPF) and developing...

Landmark-free automatic digital twin registration in robot-assisted partial nephrectomy using a generic end-to-end model.

PURPOSE: Augmented Reality in Minimally Invasive Surgery has made tremendous progress in organs incl...

An end-to-end interpretable machine-learning-based framework for early-stage diagnosis of gallbladder cancer using multi-modality medical data.

BACKGROUND: The accurate early-stage diagnosis of gallbladder cancer (GBC) is regarded as one of the...

Transformative potential of artificial intelligence in US CDC HIV interventions: balancing innovation with health privacy.

Artificial intelligence (AI) holds significant potential to transform HIV prevention and treatment t...

End looms for protein contest?

NIH has not committed to continuing support for contest that inspired AI tools for predicting how pr...

DeepBindi: An End-to-End Fear Detection System Optimized for Extreme-Edge Deployment.

The growing interest in affective computing has resulted in substantial advancements in emotion reco...

An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification.

. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses...

Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform.

Accurate nuclei segmentation and classification in histology images are critical for cancer detectio...

Overcoming Information Sparsity in Metasurfaces for Full-Color Holography via End-to-End Design.

We propose an end-to-end (E2E) system for RGB meta-hologram generation that efficiently determines t...

AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding.

Auditory attention decoding (AAD) is the process of identifying the attended speech in a multi-talke...

Limited-angle SPECT image reconstruction using deep image prior.

. In single-photon emission computed tomography (SPECT) image reconstruction, limited-angle conditio...

Multiple omics-based machine learning reveals peripheral blood immune cell landscape during acute rejection of kidney transplantation and constructs a precise non-invasive diagnostic strategy.

Kidney transplantation is the optimal treatment for end-stage renal disease (ESRD), but acute reject...

Hyper-spherical Optimal Transport for Semantic Alignment in Text-to-3D End-to-end Generation.

Recent CLIP-guided 3D generation methods have achieved promising results but struggle with generatin...

Character generation and visual quality enhancement in animated films using deep learning.

With the application and development of technologies such as artificial intelligence and deep learni...

Case study on force compliant robot arm controller for nasopharyngeal swab insertion.

The nasopharyngeal (NP) swab sample test, commonly used to detect COVID-19 and other respiratory ill...

End-to-end feature fusion for jointly optimized speech enhancement and automatic speech recognition.

Speech enhancement (SE) and automatic speech recognition (ASR) in real-time processing involve impro...

Risk factors and prediction of distant metastasis (DM) of colon adenocarcinoma: a logistic regression and machine learning study based on surveillance, epidemiology, and end results (SEER) database.