AIMC Topic: Humans
Showing 65141 to 65150 of 95995 articles
Assisting radiologists with reporting urgent findings to referring physicians: A machine learning approach to identify cases for prompt communication.
Journal of biomedical informatics
Apr 5, 2019
Radiologists are expected to expediently communicate critical and unexpected findings to referring clinicians to prevent delayed diagnosis and treatment of patients. However, competing demands such as heavy workload along with lack of administrative ...
Application of a Neural Network Whole Transcriptome-Based Pan-Cancer Method for Diagnosis of Primary and Metastatic Cancers.
JAMA network open
Apr 5, 2019
IMPORTANCE: A molecular diagnostic method that incorporates information about the transcriptional status of all genes across multiple tissue types can strengthen confidence in cancer diagnosis.
Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO.
BMC systems biology
Apr 5, 2019
BACKGROUND: Improving efficiency of disease diagnosis based on phenotype ontology is a critical yet challenging research area. Recently, Human Phenotype Ontology (HPO)-based semantic similarity has been affectively and widely used to identify causati...
Generating retinal flow maps from structural optical coherence tomography with artificial intelligence.
Scientific reports
Apr 5, 2019
Despite advances in artificial intelligence (AI), its application in medical imaging has been burdened and limited by expert-generated labels. We used images from optical coherence tomography angiography (OCTA), a relatively new imaging modality that...
Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms.
BMC systems biology
Apr 5, 2019
BACKGROUND: Identification of Hürthle cell cancers by non-operative fine-needle aspiration biopsy (FNAB) of thyroid nodules is challenging. Resultingly, non-cancerous Hürthle lesions were conventionally distinguished from Hürthle cell cancers by hist...
Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature.
Journal of medical Internet research
Apr 5, 2019
BACKGROUND: Machine learning has attracted considerable research interest toward developing smart digital health interventions. These interventions have the potential to revolutionize health care and lead to substantial outcomes for patients and medi...
Enabling artificial intelligence in high acuity medical environments.
Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
Apr 5, 2019
Acute patient treatment can heavily profit from AI-based assistive and decision support systems, in terms of improved patient outcome as well as increased efficiency. Yet, only very few applications have been reported because of the limited accessibi...
Back to the roots of AI and their relevance for health care today.
Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
Apr 5, 2019
Weakly supervised lesion localization for age-related macular degeneration detection using optical coherence tomography images.
PloS one
Apr 5, 2019
Age-related macular degeneration (AMD) is the main cause of irreversible blindness among the elderly and require early diagnosis to prevent vision loss, and careful treatment is essential. Optical coherence tomography (OCT), the most commonly used im...
Forecasting future Humphrey Visual Fields using deep learning.
PloS one
Apr 5, 2019
PURPOSE: To determine if deep learning networks could be trained to forecast future 24-2 Humphrey Visual Fields (HVFs).
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