Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. ...
Background Deep learning (DL) algorithms could improve the classification of ovarian tumors assessed...
Existing inefficient traffic signal plans are causing traffic congestions in many urban areas. In re...
Monitoring the occurrence of adverse events in the scientific literature is a mandatory process in d...
PURPOSE: Artificial intelligence based on deep learning (DL) approaches enables the automatic recogn...
In this paper, we present a novel Deep Neural Network-based indoor localization method that estimate...
Typical image aesthetics assessment (IAA) is modeled for the generic aesthetics perceived by an "ave...
BACKGROUND AND STUDY AIMS: Endoscopic reports are essential for the diagnosis and follow-up of gastr...
BACKGROUND: MR-based methods for attenuation correction (AC) in PET/MRI either neglect attenuation o...
Gleason grading, a risk stratification method for prostate cancer, is subjective and dependent on ex...
Morphological attributes from histopathological images and molecular profiles from genomic data are ...
Diabetes is a chronic endocrine disease that occurs due to an imbalance in glucose levels and alteri...
The growing demand for head magnetic resonance imaging (MRI) examinations, along with a global short...
Biomedical research data reuse and sharing is essential for fostering research progress. To this aim...
The high quality of MRI reporting of the prostate is the most critical component of the service prov...
BACKGROUND: There has been a considerable increase in total joint arthroplasty (TJA) research using ...
Grounding natural language in images, such as localizing "the black dog on the left of the tree", is...
OBJECTIVE: Natural language processing (NLP) systems convert unstructured text into analyzable data....
In this paper, we examine the qualitative moral impact of machine learning-based clinical decision s...