Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
PURPOSE: To present a comprehensive framework for integrating oculomics to assess ocular and systemic health into coordinated health care delivery models. DESIGN: Conceptual framework based on current scientific evidence, existing clinical implementations, and expert consensus across ophthalmology, primary care, technology, and population health. PARTICIPANTS: This work synthesizes published evide...
Visual-based navigation for mobile robot poses significant challenges due to limited visual perception and the presence of unforeseen dynamic obstacles. Deep reinforcement learning (DRL) provides an end-to-end solution by directly mapping raw sensor data to control commands, offering high adaptability and reduced reliance on handcrafted rules. However, high-dimensional visual inputs and the non-st...
The quality degradation of frozen meat during storage is mainly attributed to oxidative reactions in lipids and proteins. This study aimed to evaluate...
BACKGROUND: This study tests the hypothesis that postoperative undertriage of high-acuity patients to hospital floor units is associated with new post...
SUMMARY: The accurate development, assessment, interpretation, and benchmarking of bioinformatics frameworks for analyzing transcriptional regulatory ...
End-to-end visual odometry models have recently achieved localization accuracy on par with conventional techniques, while effectively reducing the occ...
End-to-end EEG-based emotion recognition is attracting increasing attention due to its potential in human-computer interaction, mental health, and aff...
Exponential growth in scientific literature has heightened the demand for efficient evidence-based synthesis, driving the rise of the field of automat...
BACKGROUND AND OBJECTIVE: The unloaded cardiac geometry, representing the zero-stress and zero-strain reference state of the heart, is fundamental for...
Chronic pain is linked to accelerated brain aging, often measured through the brain-age gap (BAG), the difference between chronological age and neuroi...
End-to-end training in temporal action detection (TAD) has shown great potential for performance improvement by jointly optimizing the video encoder a...
Reproductive performance affects the profitability of a dairy herd. The ability to understand the reproductive capabilities of individual cows and the...
OBJECTIVE: This 24-month longitudinal study involving isolated rapid eye movement sleep behavior disorder (iRBD), early-stage Parkinson's disease (PD)...
Leveraging the end-to-end detection capability enabled by one-to-one matching, DETR has achieved state-of-the-art performance in simplified pipelines....
Early diagnosis significantly improves survival rates for hepatocellular carcinoma (HCC), yet traditional methods face limitations, including speciali...
BACKGROUND: The rise of digital health data has expanded opportunities for data-driven innovation, yet privacy, legal and ethical barriers frame data ...
Knowledge distillation (KD) using machine translation (MT) teacher models has demonstrated effectiveness in enhancing end-to-end speech-to-text transl...
BACKGROUND: Falls and related injuries (FRI) pose a large burden among older adults with depression. Proactively identifying individuals at high FRI r...
The pathological grading of cervical squamous cell carcinoma (CSCC) is a fundamental and important index in tumor diagnosis. Pathologists tend to focu...
Driver fatigue poses a critical threat to global road safety, particularly among young drivers. Nevertheless, policy-level interventions remain fragme...