Care of terminally ill / Palliative care

Transforming evidence synthesis: A systematic review of the evolution of automated meta-analysis in the age of AI.

Exponential growth in scientific literature has heightened the demand for efficient evidence-based synthesis, driving the rise of the field of automated meta-analysis (AMA) powered by natural language processing and machine learning. This PRISMA systematic review introduces a structured framework for assessing the current state of AMA, based on screening 13,216 papers (2006-2024) and analyzing 61 ...

HeartUnloadNet: A cycle-consistent graph network with reduced supervision for predicting unloaded cardiac geometry from diastolic states.

BACKGROUND AND OBJECTIVE: The unloaded cardiac geometry, representing the zero-stress and zero-strain reference state of the heart, is fundamental for personalized biomechanical modeling of cardiac function. However, this state cannot be directly observed in vivo, as clinical imaging only captures pressure-loaded geometries such as those at end-diastole. Traditional inverse finite element solvers ...

Clinical pain increased with older brain age, yet placebo effects were preserved.

Chronic pain is linked to accelerated brain aging, often measured through the brain-age gap (BAG), the difference between chronological age and neuroi...

CocoAdapter: Efficient end-to-end temporal action detection via self-constrained multi-cognitive adapters.

End-to-end training in temporal action detection (TAD) has shown great potential for performance improvement by jointly optimizing the video encoder a...

Evaluation of machine learning predictions for early reproductive success in commercial US dairies.

Reproductive performance affects the profitability of a dairy herd. The ability to understand the reproductive capabilities of individual cows and the...

Speech Biomarkers From Smartphone Calls Track Progression in REM Sleep Behavior Disorder and Parkinson's Disease.

OBJECTIVE: This 24-month longitudinal study involving isolated rapid eye movement sleep behavior disorder (iRBD), early-stage Parkinson's disease (PD)...

Shadow-DETR: Alleviating matching conflicts through shadow queries.

Leveraging the end-to-end detection capability enabled by one-to-one matching, DETR has achieved state-of-the-art performance in simplified pipelines....

HepatoAILFA: Machine-Learning-Assisted Nano-enhanced Point-of-Care System for Personalized Precise Diagnosis of Hepatocellular Carcinoma.

Early diagnosis significantly improves survival rates for hepatocellular carcinoma (HCC), yet traditional methods face limitations, including speciali...

A roadmap for federated learning projects using health data to guide sustainable artificial intelligence development in the European Union.

BACKGROUND: The rise of digital health data has expanded opportunities for data-driven innovation, yet privacy, legal and ethical barriers frame data ...

Enhancing end-to-end speech translation via multi-stage knowledge distillation.

Knowledge distillation (KD) using machine translation (MT) teacher models has demonstrated effectiveness in enhancing end-to-end speech-to-text transl...

Machine Learning Algorithms for Predicting Injurious Fall Risk Among Older Adults With Depression: A Prognostic Modeling Study.

BACKGROUND: Falls and related injuries (FRI) pose a large burden among older adults with depression. Proactively identifying individuals at high FRI r...

A Multi-instance Learning Network with Prototype-instance Adversarial Contrastive for Cervix Pathology Grading.

The pathological grading of cervical squamous cell carcinoma (CSCC) is a fundamental and important index in tumor diagnosis. Pathologists tend to focu...

SET-DGCN: An end-to-end electroencephalography-based fatigue detection method for young drivers.

Driver fatigue poses a critical threat to global road safety, particularly among young drivers. Nevertheless, policy-level interventions remain fragme...

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 manipulat...

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...