Latest AI and machine learning research in information technology for healthcare professionals.
We propose an interpretable and scalable model to predict likely diagnoses at an encounter based on ...
Deep learning (DL) models can harness electronic health records (EHRs) to predict diseases and extra...
Because of an aging population worldwide, the increasing prevalence of falls and their consequent in...
UNLABELLED: Artificial intelligence (AI) and machine learning (ML) are becoming critical in developi...
ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical pra...
BACKGROUND: Electronic health records (EHRs) are generated at an ever-increasing rate. EHR trajector...
The implementation of technology in healthcare has revolutionized patient-centered decision making b...
In this Commentary authors investigated and extended the role of simulator in assisting obstetric so...
BACKGROUND AND OBJECTIVES: Clinical registries are critical for modern surgery and underpin outcomes...
The missing data mechanism is a relevant problem in Machine Learning (ML) and biomedical informatics...
Suicide risk prediction models frequently rely on structured electronic health record (EHR) data, i...
OBJECTIVE: To represent a patient record with both time-invariant and time-varying features as a sin...
In the USA, the Food and Drug Administration plans to regulate artificial intelligence and machine l...
BACKGROUND: Poor functional status is a key marker of morbidity, yet is not routinely captured in cl...
A Cyber-Physical System (CPS) is a network of cyber and physical elements that interact with each ot...
This Letter to the Editor provides an update on the research from the Glushkov Institute of Cybernet...
BACKGROUND: An artificial-intelligence (AI) model for predicting the prognosis or mortality of coron...
A hospital readmission risk prediction tool for patients with diabetes based on electronic health re...
The rapid adoption of electronic health record (EHR) systems in US hospitals from 2008 to 2014 produ...
BACKGROUND: Health information systems (HISs) are continuously targeted by hackers, who aim to bring...
Electronic health records (EHR) are sparse, noisy, and private, with variable vital measurements and...