Latest AI and machine learning research in copd for healthcare professionals.
Background: Patients with CKD and polypharmacy face high rates of drug-related problems, yet compreh...
Abstract Selective inhibition of phosphodiesterase 4B (PDE4B) remains a promising strategy for prese...
Extensive research has highlighted the severe threats posed by backdoor attacks to deep reinforcemen...
Maximal oxygen consumption VO2max is the gold standard for cardiorespiratory fitness but requires re...
Multi-window CT imaging captures complementary pathological information across anatomical structures...
The training data of large language models (LLMs) comprises a wide range of biomedical literature, r...
Background: Integrating multimodal data into medical artificial intelligence (AI) tools and evaluati...
RLVR and OPD have become standard paradigms for post-training. We provide a unified analysis of thes...
Objective: To test whether machine learning (ML) models trained on tidal breathing flow time series ...
Purpose: To develop an interpretable feature-based Deep Parametric Response Mapping (PRMD) method th...
Lung transplantation programs must decide when bilateral lung transplantation (BLT) offers meaningfu...
In this article, we present a gold-standard benchmark dataset for Biomedical Urdu Named Entity Recog...
Introduction: The accumulation of senescent cells is a recognized hallmark of biological aging and i...
Background: Conversational AI safety systems are primarily evaluated using message-level content mon...
Small airways are the primary sites of airflow obstruction in chronic obstructive pulmonary disease....
Deep learning model classification on large datasets is often limited in countries with restricted c...
Radiology report annotation is essential for clinical NLP, yet manual labeling is slow and costly. W...
Ulcerative colitis (UC) is a chronic mucosal inflammatory condition that places patients at increase...
Chronic diseases are long-lasting conditions that require lifelong medical attention. Using big EMR ...
Rationale, Aims and Objectives: Unwarranted clinical variation (UCV) in patient care often arises fr...
Objective: Quantitative computed tomography (QCT) can automatically quantify parenchymal abnormaliti...