AIMC Topic: Electronic Health Records

Clear Filters Showing 581 to 590 of 2555 articles

RIMD: A novel method for clinical prediction.

Artificial intelligence in medicine Apr 20, 2023
Electronic health records (EHR) are sparse, noisy, and private, with variable vital measurements and stay lengths. Deep learning models are the current state of the art in many machine learning domain; however, the EHR data is not a suitable training...
Electronic Health Records Length of Stay Humans Machine Learning
View on PubMed DOI

Foundation models for generalist medical artificial intelligence.

Nature Apr 12, 2023
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine. We propose a new paradigm for medical AI, which we refer to as generalist medical AI (GMAI)....
Humans Artificial Intelligence Datasets as Topic Electronic Health Records Unsupervised Machine Learning Genomics Diagnostic Imaging Medicine
View on PubMed DOI

Privacy-preserving artificial intelligence in healthcare: Techniques and applications.

Computers in biology and medicine Apr 5, 2023
There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. Despite substantial research worldwide, very ...
Humans Electronic Health Records Privacy Information Dissemination Artificial Intelligence Delivery of Health Care
View on PubMed DOI

Commentary: Integrated blockchain-deep learning approach for analyzing the electronic health records recommender system.

Frontiers in public health Apr 5, 2023
Blockchain Confidentiality Electronic Health Records Computer Security Deep Learning
View on PubMed DOI

Clinically explainable machine learning models for early identification of patients at risk of hospital-acquired urinary tract infection.

The Journal of hospital infection Mar 31, 2023
BACKGROUND: Machine learning (ML) models for early identification of patients at risk of hospital-acquired urinary tract infection (HA-UTI) may enable timely and targeted preventive and therapeutic strategies. However, clinicians are often challenged...
Risk Assessment Humans Denmark Machine Learning Cross Infection Male Middle Aged Urinary Tract Infections Young Adult Female Retrospective Studies Aged Adult Aged, 80 and over Electronic Health Records
View on PubMed DOI

Identifying Reasons for Statin Nonuse in Patients With Diabetes Using Deep Learning of Electronic Health Records.

Journal of the American Heart Association Mar 28, 2023
Background Statins are guideline-recommended medications that reduce cardiovascular events in patients with diabetes. Yet, statin use is concerningly low in this high-risk population. Identifying reasons for statin nonuse, which are typically describ...
Hydroxymethylglutaryl-CoA Reductase Inhibitors Deep Learning Electronic Health Records Diabetes Mellitus Female Male Aged Middle Aged Humans Adult Risk Factors
View on PubMed DOI

Clinician Trust in Artificial Intelligence: What is Known and How Trust Can Be Facilitated.

Critical care clinics Mar 27, 2023
Predictive analytics based on artificial intelligence (AI) offer clinicians the opportunity to leverage big data available in electronic health records (EHR) to improve clinical decision-making, and thus patient outcomes. Despite this, many barriers ...
Trust Big Data Humans Artificial Intelligence Electronic Health Records
View on PubMed DOI

An End-to-End Natural Language Processing System for Automatically Extracting Radiation Therapy Events From Clinical Texts.

International journal of radiation oncology, biology, physics Mar 27, 2023
PURPOSE: Real-world evidence for radiation therapy (RT) is limited because it is often documented only in the clinical narrative. We developed a natural language processing system for automated extraction of detailed RT events from text to support cl...
Humans Natural Language Processing Electronic Health Records Neoplasms
View on PubMed DOI

Predicting heart failure in-hospital mortality by integrating longitudinal and category data in electronic health records.

Medical & biological engineering & computing Mar 24, 2023
Heart failure is a life-threatening syndrome that is diagnosed in 3.6 million people worldwide each year. We propose a deep fusion learning model (DFL-IMP) that uses time series and category data from electronic health records to predict in-hospital ...
Heart Failure Hospitalization Hospital Mortality Humans Machine Learning Electronic Health Records
View on PubMed DOI

Review of Natural Language Processing in Pharmacology.

Pharmacological reviews Mar 17, 2023
Natural language processing (NLP) is an area of artificial intelligence that applies information technologies to process the human language, understand it to a certain degree, and use it in various applications. This area has rapidly developed in the...
Humans Natural Language Processing Information Storage and Retrieval Records Artificial Intelligence Electronic Health Records
View on PubMed DOI
Popular Topics
Recent Journals