Care of terminally ill / Palliative care

End-to-end design of multi-functional acoustic holograms via heterogeneous physics constraints.

Acoustic holograms offer precise three-dimensional control of sound fields with immense potential for non-invasive therapies and contactless manipulation. However, conventional phase-only design methods suffer from a fundamental performance gap between theoretical predictions and physical implementation, especially for creating multi-functional devices. These approaches design idealized phase maps...

Nanomotion-based technology for rapid antibiotic susceptibility testing among adult patients admitted to a tertiary-care hospital with Gram-negative bacteraemia: a prospective, single arm, comparative diagnostic accuracy study.

OBJECTIVE: Investigate performances and turnaround time of Resistell Phenotech antibiotic susceptibility testing (AST), a device using the new nanomotion technology, compared with reference methods. METHODS: This is a prospective, observational, and comparative diagnostic accuracy study including adult patients, who signed informed consent, hospitalized at a single 1200-bed tertiary-care centre in...

Perioperative Extracorporeal Membrane Oxygenation Use in Lung Transplantation: Analysis of Outcomes and Future Directions.

Extracorporeal membrane oxygenation (ECMO) has emerged as a critical intervention in the management of patients with end-stage lung disease undergoing...

Associations of Skeletal Muscle Mass and Body Mass Index With Clinical Outcomes in Autosomal-Dominant Polycystic Kidney Disease: An Observational Study.

RATIONALE & OBJECTIVE: Low muscle mass is a risk factor for chronic kidney disease. In this study, we examined the relationship between muscle mass an...

UVENet: A novel end-to-end model for temporal consistency in underwater video enhancement.

Deep-sea submersibles collect extensive underwater data, supporting the study and exploration of marine ecosystems. Efficient processing and analysis ...

Comparative Analysis of AI-Generated and Manually Designed Approaches in Accuracy and Design Time for Surgical Path Planning of Dynamic Navigation-Aided Endodontic Microsurgery: A Retrospective Study.

AIM: To compare the accuracy and design time of artificial intelligence (AI)-generated and manually designed (MD) surgical pathways for osteotomies an...

ToBaFu: Topology-based fusion model for classification of two-dimensional cancer images.

Medical images play a pivotal role in disease diagnosis. Numerous studies on cancer image analysis focus on end-to-end deep neural networks, neglectin...

Prostate MR image segmentation using a multi-stage network approach.

Prostate cancer (PCa) remains one of the most prevalent cancers among men, with over 1.4 million new cases and 375,304 deaths reported globally in 202...

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 recognition through the application of various machine...

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. Prevailing research into classifying electromyog...

Limited-angle SPECT image reconstruction using deep image prior.

. In single-photon emission computed tomography (SPECT) image reconstruction, limited-angle conditions lead to a loss of frequency components, which d...

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-talker environment using brain signals, typically recor...

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 the optimal material and geometry for target hologr...

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 generating faithful 3D shapes that conform with input text ...

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 rejection (AR) remains a major factor affecting graft su...

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 illnesses, involves moving a swab through the nasal c...

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 learning in the generation of animated films, improving ...

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 improving the quality and intelligibility of speech sig...

DeepLASD countermeasure for logical access audio spoofing.

Voice-based authentication systems have become increasingly vulnerable to logical access (LA) spoofing through sophisticated voice conversion (VC) and...

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 approach to restore basic sight for the visually impaire...