Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Previous lesion behavior studies primarily used univariate lesion behavior mapping techniques to map the anatomical basis of spatial neglect after right brain damage. These studies led to inconsistent results and lively controversies. Given these inconsistencies, the idea of a wide-spread network that might underlie spatial orientation and neglect has been pushed forward. In such case, univariate ...
BackgroundManagement of thyroid nodules may be inconsistent between different observers and time consuming for radiologists. An artificial intelligence system that uses deep learning may improve radiology workflow for management of thyroid nodules.PurposeTo develop a deep learning algorithm that uses thyroid US images to decide whether a thyroid nodule should undergo a biopsy and to compare the pe...
Background Coronary CT angiography contains prognostic information but the best method to extract these data remains unknown. Purpose To use machine l...
OBJECTIVE: Virtual reality simulators track all movements and forces of simulated instruments, generating enormous datasets which can be further analy...
Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these syste...
An accurate energy scoring function is crucial for protein structure prediction. Given the increasing number of experimentally determined structures, ...
BACKGROUND: Primary hemochromatosis is unusual in India. The homeostatic iron regulator (HFE) gene C282Y mutation, a common cause for hemochromatosis ...
This paper tries to give a gentle introduction to deep learning in medical image processing, proceeding from theoretical foundations to applications. ...
Disease progression modeling (DPM) using longitudinal data is a challenging machine learning task. Existing DPM algorithms neglect temporal dependenci...
Increased urinary acetylated polyamines (APs) are reported as cancer biomarkers in many studies. N,N-diacetylspermine has been proposed as a biomarker...
BACKGROUND: Patient falls, the most common safety events resulting in adverse patient outcomes, impose significant costs and have become a great burde...
PURPOSE: To use a natural language processing and machine learning algorithm to evaluate inter-radiologist report variation and compare variation betw...
Standardized clinical pathways are useful tool to reduce variation in clinical management and may improve quality of care. However the evidence suppor...
OBJECTIVES: To describe and validate an artificial intelligence (AI)-driven structured reporting system by direct comparison of automatically generate...
Low-rank representation (LRR) has aroused much attention in the community of data mining. However, it has the following twoproblems which greatly limi...
Drug safety, also called pharmacovigilance, represents a serious health problem all over the world. Adverse drug reactions (ADRs) and drug-drug intera...
Artificial pancreas system (APS) is a viable option to treat diabetic patients. Researchers, however, have not conclusively determined the best contro...
Artificial intelligence (AI) is already widely employed in various medical roles, and ongoing technological advances are encouraging more widespread u...
Significant technical advances have been made in radiology since the first discovery of X-rays. Diagnostic techniques have become more and more comple...
BACKGROUND: Current assessment tools for sport-related concussion are limited by a reliance on subjective interpretation and patient symptom reporting...