Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Hybrid quantum-classical machine learning on noisy intermediate-scale quantum (NISQ) devices suffers...
BACKGROUND: Pulmonary arterial hypertension (PAH) is a rare and progressive disease associated with ...
Translating large-cohort proteomics data into biomedical insights requires timely, scalable, and rep...
General-purpose multimodal artificial intelligence (AI) models can interpret radiographs through nat...
Electronic noses (e-noses) based on cross-selective gas sensors often suffer from severe redundancy,...
Despite numerous deep learning models reporting high accuracy for oral cancer classification, most r...
Fluorescence microscopy is often limited by low signal-to-noise ratios arising from the finite numbe...
Recent advances in natural language processing combined with deep learning have transformed disease ...
BACKGROUND: Objective sleep and autonomic measures may add information beyond clinical characteristi...
Artificial intelligence (AI) is increasingly influencing clinical care and research in osteoarthriti...
Multimodal artificial intelligence (AI) could support audiology reporting, but an end-to-end score c...
Inverse problems in pharmacometrics and quantitative systems pharmacology (QSP) often involve sparse...
OBJECTIVES: Accurately predicting postoperative pulmonary function is essential for surgical decisio...
Cure occupies a prominent place among the goods of medicine, yet its limits raise a fundamental ques...
AI is increasingly embedded in digital public health systems, but model performance, system deployme...
Protein-ligand binding affinity (PLA) prediction is essential for computational drug discovery, yet ...
Objective.Real-time x-ray fluoroscopy (XRF) is widely used for navigating coronary interventions. X-...
INTRODUCTION: Transcatheter aortic valve implantation (TAVI) is a standard treatment for patients wi...
BACKGROUND: The widespread adoption of electronic health records (EHRs) has generated large-scale re...
Modern drug discovery joins machine learning with physics-based simulation, but building such a pipe...
We aimed to systematically analyze the historical evolution of artificial intelligence (AI) in end-s...