Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Mapping cell distributions across spatial locations with whole-genome coverage is essential for unde...
Marked variability in inpatient hospitalization costs poses significant challenges to healthcare qua...
Validation of analytical methods to assess figures of merit and other key performance parameters is ...
Pulmonary embolism (PE) is a life-threatening condition with significant diagnostic challenges due ...
BACKGROUND: Accurate identification of drug-drug interactions (DDIs) is critical in pharmacology, as...
This study focuses on the impact of learning experience on college students' deep learning of Englis...
IMPORTANCE: Diagnostic imaging interpretation involves distilling multimodal clinical information in...
Study DesignLiterature review.ObjectiveThe Transparent Reporting of a multivariable prediction model...
This project represents the first systematic assessment of the US Food and Drug Administration's pos...
With the advancement of deep learning, robotic grasping has seen widespread application in fields, b...
Estimating the individuals' potential response to varying treatment doses is crucial for decision-ma...
Neuroimaging screening and surveillance is one of the first frontline diagnostic tools leveraged in ...
INTRODUCTION: The application of artificial intelligence in diagnostic prediction models for disease...
BACKGROUND: As ultrasound (US) is the most accurate tool for assessing the thyroid nodule (TN) risk ...
Sparse-view CT reconstruction is a challenging ill-posed inverse problem, where insufficient project...
Semantic Change Detection (SCD) aims to accurately identify the change areas and their categories in...
PURPOSE: Artificial intelligence (AI) has been proposed to assist radiologists in reporting multipar...
Recent advancements in endoscopy video analysis have relied on the utilization of relatively short v...
This narrative review focuses on the integration of large language models (LLMs), such as GPT-4 and ...
Electronic incident reporting is a key quality and a safety process for healthcare organizations tha...
Precise segmentation and uncertainty estimation are crucial for error identification and correction ...