Latest AI and machine learning research in product alert for healthcare professionals.
INTRODUCTION: Post-stroke depression is one of the important complications of stroke and affects pat...
Accurate retrieval of the maintained information is crucial for working memory. This process primari...
Diabetic retinopathy (DR) is a frequent complication of diabetes, affecting millions worldwide. Scre...
OBJECTIVES: To identify the factors associated with post-stroke depression (PSD) and develop a machi...
Stroke continues to be a major adverse event in advanced congestive heart failure (CHF) patients aft...
Ontologies are widely used in databases to standardize data, improving data quality, integration, an...
BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality....
In post-translational modification, covalent bonds on lysine and attached chemical groups significan...
PURPOSE: To develop a machine learning (ML) classifier for predicting post-induction hypotension (PI...
BACKGROUND: Chronic rejection forms the leading cause of late graft loss in pediatric kidney transpl...
Purpose To investigate whether the computational effort of three-dimensional CT-based multiorgan seg...
BACKGROUND: While liver transplantation saves lives from irreversible liver damage, it poses challen...
INTRODUCTION: To develop a temporal-convolutional-LSTM (TCN-LSTM) hybrid model integrating surface e...
COVID-19 has not only changed the way people live but has also altered the way all organizations ope...
In post-disaster scenarios, effective rescue operations hinge on deploying robots equipped with soph...
Obesity is a global public health concern, often co-occurring in patients with severe mental illness...
BACKGROUND: Post-COVID conditions (PCC) have proven difficult to diagnose. In this retrospective obs...
BACKGROUND: Patient symptoms, crucial for disease progression and diagnosis, are often captured in u...
Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial ...
The integration of artificial intelligence (AI) into new approach methods (NAMs) for toxicology rep-...
The rapid advancement of artificial intelligence and machine learning (AI/ML) technologies in health...