Latest AI and machine learning research in work force for healthcare professionals.
Emergency and trauma radiologists, emergency department's physicians and nurses, researchers, departmental leaders, and health policymakers have attempted to discover efficient approaches to enhance the provision of quality patient care. There are increasing expectations for radiology practices to deliver a dedicated emergency radiology service providing 24/7/365 on-site attending radiologist cove...
The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accuracy of existing models. Deep Neural Networks (DNNs) are models composed of stacked transformations that learn tasks by examples. This technology has recently achieved striking success in a variety of task and there are great expectations on how it might improve clinical practice. Here we present a DN...
With the popularization of rehabilitation robots, it is necessary to develop quantitative motor function assessment methods for patients with a stroke...
Artificial intelligence (AI) assisted human brain research is a dynamic interdisciplinary field with great interest, rich literature, and huge diversi...
The rising prevalence and global burden of diabetes fortify the need for more comprehensive and effective management to prevent, monitor, and treat di...
Identification of unknowns is a bottleneck for large-scale untargeted analyses like metabolomics or drug metabolite identification. Ion mobility-mass ...
In recent years, protein-ligand interaction scoring functions derived through machine-learning are repeatedly reported to outperform conventional scor...
The core element of machine learning is a flexible, universal function approximator that can be trained and fit into the data. One of the main challen...
Predicting Alzheimer's Disease (AD) from Mild Cognitive Impairment (MCI) and Cognitive Normal (CN) has become wide. Recent advancement in neuroimaging...
PURPOSE: The shortage of obstetricians and gynecologists has intensified in developed countries. Our long-term goal is to develop a robotic prenatal c...
Prediction of ground reaction force (GRF) magnitudes during running-based sports has several important applications, including optimal load prescripti...
Simulation-based training is increasingly being used for assessment and training of psychomotor skills involved in medicine. The application of artifi...
Understanding the distribution of life's variety has driven naturalists and scientists for centuries, yet this has been constrained both by the availa...
Based on the development of automatic devices and rapid assay methods, various high-throughput screening (HTS) strategies have been established for im...
BACKGROUND: An increasing volume of prostate biopsies and a worldwide shortage of urological pathologists puts a strain on pathology departments. Addi...
There has been an increasing attention to the study of stress. Particularly, college students often experience high levels of stress that are linked t...
Haptic exploration is a key skill for both robots and humans to discriminate and handle unknown objects or to recognize familiar objects. Its active n...
In this paper, we focus on data-driven approaches to human activity recognition (HAR). Data-driven approaches rely on good quality data during trainin...
While prosthetic fitting after upper-limb loss allows for restoration of motor functions, it deprives the amputee of tactile sensations that are essen...
The training of physician-scientists lies at the heart of future medical research. In this commentary, we apply Narayanamurti and Odumosu's framework ...