AIMC Topic: Patient-Centered Care
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Patient-Specific Deep Architectural Model for ECG Classification.
Journal of healthcare engineering
May 7, 2017
Heartbeat classification is a crucial step for arrhythmia diagnosis during electrocardiographic (ECG) analysis. The new scenario of wireless body sensor network- (WBSN-) enabled ECG monitoring puts forward a higher-level demand for this traditional E...
Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping.
IEEE transactions on bio-medical engineering
Nov 16, 2016
GOAL: We use noninvasive data (body surface potential mapping, BSPM) to personalize the main parameters of a cardiac electrophysiological (EP) model for predicting the response to different pacing conditions.
An ontological model of the practice transformation process.
Journal of biomedical informatics
May 10, 2016
Patient-centered medical home is defined as an approach for providing comprehensive primary care that facilitates partnerships between individual patients and their personal providers. The current state of the practice transformation process is ad ho...
Using machine learning to assess covariate balance in matching studies.
Journal of evaluation in clinical practice
Mar 23, 2016
In order to assess the effectiveness of matching approaches in observational studies, investigators typically present summary statistics for each observed pre-intervention covariate, with the objective of showing that matching reduces the difference ...
High-Performance Personalized Heartbeat Classification Model for Long-Term ECG Signal.
IEEE transactions on bio-medical engineering
Mar 8, 2016
Long-term electrocardiogram (ECG) has become one of the important diagnostic assist methods in clinical cardiovascular domain. Long-term ECG is primarily used for the detection of various cardiovascular diseases that are caused by various cardiac arr...
Adaptive semi-supervised recursive tree partitioning: The ART towards large scale patient indexing in personalized healthcare.
Journal of biomedical informatics
Feb 3, 2015
With the rapid development of information technologies, tremendous amount of data became readily available in various application domains. This big data era presents challenges to many conventional data analytics research directions including data ca...
CareAssist GPT improves patient user experience with a patient centered approach to computer aided diagnosis.
Scientific reports
Jul 2, 2025
The rapid integration of artificial intelligence (AI) into healthcare has enhanced diagnostic accuracy; however, patient engagement and satisfaction remain significant challenges that hinder the widespread acceptance and effectiveness of AI-driven cl...
AI in practice: Opportunities, obstacles, and outlook.
The Nurse practitioner
Jun 1, 2025
The integration of artificial intelligence (AI) into clinical practice represents a paradigm shift in healthcare delivery, with significant implications for NPs. This emerging technology offers a myriad of benefits, including enhanced practice effici...
PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered care.
European journal of radiology
Jun 1, 2025
BACKGROUND: The PRECISE framework, defined as Patient-Focused Radiology Reports with Enhanced Clarity and Informative Summaries for Effective Communication, leverages GPT-4 to create patient-friendly summaries of radiology reports at a sixth-grade re...
Bridging the gap: Evaluating ChatGPT-generated, personalized, patient-centered prostate biopsy reports.
American journal of clinical pathology
May 17, 2025
OBJECTIVE: The highly specialized language used in prostate biopsy pathology reports coupled with low rates of health literacy leave some patients unable to comprehend their medical information. Patients' use of online search engines can lead to misi...
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