Articles with "intelligence enabled" as a keyword



Effectiveness of an Artificial Intelligence–Enabled Intervention for Detecting Clinical Deterioration

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Published in 2024 at "JAMA Internal Medicine"

DOI: 10.1001/jamainternmed.2024.0084

Abstract: This cohort study examines whether the use of an artificial intelligence–enabled deterioration model is associated with a decrease in the risk of escalations in care in hospitalized patients. read more here.

Keywords: effectiveness artificial; artificial intelligence; deterioration; enabled intervention ... See more keywords

Artificial Intelligence–Enabled Analysis of Statin-Related Topics and Sentiments on Social Media

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Published in 2023 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2023.9747

Abstract: This qualitative study evaluates user-generated, publicly available posts and comments about statin-related topics: ketogenic diets, diabetes, and supplements; statin adverse effects; statin hesitancy; clinical trial appraisals; pharmaceutical industry bias; and red yeast rice. read more here.

Keywords: related topics; enabled analysis; intelligence enabled; artificial intelligence ... See more keywords
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Artificial Intelligence-Enabled De Novo Design of Novel Compounds that Are Synthesizable.

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Published in 2022 at "Methods in molecular biology"

DOI: 10.1007/978-1-0716-1787-8_17

Abstract: Development of computer-aided de novo design methods to discover novel compounds in a speedy manner to treat human diseases has been of interest to drug discovery scientists for the past three decades. In the beginning, the… read more here.

Keywords: intelligence enabled; enabled novo; artificial intelligence; novo design ... See more keywords
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Artificial Intelligence-Enabled ECG: a Modern Lens on an Old Technology

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Published in 2020 at "Current Cardiology Reports"

DOI: 10.1007/s11886-020-01317-x

Abstract: Purpose of Review To (i) review the concept of artificial intelligence (AI); (ii) summarize recent developments in artificial intelligence-enabled electrocardiogram (AI-ECG); (iii) address notable inherent limitations and challenges of AI-ECG; and (iv) discuss the future… read more here.

Keywords: intelligence; intelligence enabled; enabled ecg; technology ... See more keywords
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ARTIFICIAL INTELLIGENCE ENABLED ECG DETECTS SIGNIFICANT LEFT VENTRICULAR DYSFUNCTION IN SUBJECTS WITH DILATED CARDIOMYOPATHY

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Published in 2020 at "Journal of the American College of Cardiology"

DOI: 10.1016/s0735-1097(20)31559-x

Abstract: Dilated cardiomyopathy (DCM) can be inherited and guidelines recommend screening first-degree relatives. However, screening with echocardiography is limited due to availability and cost. Recently, artificial intelligence-enabled electrocardiography (AI-ECG) has shown promise in detecting left read more here.

Keywords: enabled ecg; intelligence enabled; artificial intelligence; dilated cardiomyopathy ... See more keywords
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ARTIFICIAL INTELLIGENCE-ENABLED ECG ALGORITHM FOR THE SCREENING OF DIABETES

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Published in 2020 at "Journal of the American College of Cardiology"

DOI: 10.1016/s0735-1097(20)34169-3

Abstract: We aimed to develop an artificial intelligence (AI) based electrocardiogram (ECG) algorithm to screen patients for DM. A convolutional neural network was used to identify diabetes using ECG signal data in the CARTeGENE registry (population-based… read more here.

Keywords: artificial intelligence; enabled ecg; intelligence enabled; ecg algorithm ... See more keywords

Artificial intelligence-enabled electrocardiography from scientific research to clinical application.

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Published in 2025 at "EMBO molecular medicine"

DOI: 10.1038/s44321-025-00351-y

Abstract: Recent advancements in artificial intelligence (AI) have revolutionized the application of electrocardiography (ECG) in cardiovascular diagnostics. This review highlights the transformative impact of AI on traditional ECG analysis, detailing how deep learning algorithms are overcoming… read more here.

Keywords: artificial intelligence; enabled electrocardiography; application; intelligence ... See more keywords

Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview

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Published in 2019 at "IET Networks"

DOI: 10.1049/iet-net.2018.5082

Abstract: Software defined networking (SDN) represents a promising networking architecture that combines central management and network programmability. SDN separates the control plane from the data plane and moves the network management to a central point, called… read more here.

Keywords: artificial intelligence; intelligence enabled; software defined; defined networking ... See more keywords

Artificial Intelligence-enabled Decision Support in Surgery: State-of-the-art and Future Directions.

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Published in 2023 at "Annals of surgery"

DOI: 10.1097/sla.0000000000005853

Abstract: Objective: To summarize state-of-the-art artificial intelligence–enabled decision support in surgery and to quantify deficiencies in scientific rigor and reporting. Background: To positively affect surgical care, decision-support models must exceed current reporting guideline requirements by performing… read more here.

Keywords: enabled decision; decision support; intelligence enabled; artificial intelligence ... See more keywords

Rendering Secure and Trustworthy Edge Intelligence in 5G-Enabled IIoT Using Proof of Learning Consensus Protocol

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Published in 2023 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2022.3179272

Abstract: Industrial Internet of Things (IIoT) and fifth generation (5G) network have fueled the development of Industry 4.0 by providing an unparalleled connectivity and intelligence to ensure timely (or real time) and optimal decision-making. Under this… read more here.

Keywords: intelligence; intelligence enabled; edge intelligence; secure ... See more keywords

An artificial intelligence‐enabled electrocardiogram algorithm for the prediction of left atrial low‐voltage areas in persistent atrial fibrillation

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Published in 2024 at "Journal of Cardiovascular Electrophysiology"

DOI: 10.1111/jce.16373

Abstract: We aimed to construct an artificial intelligence‐enabled electrocardiogram (ECG) algorithm that can accurately predict the presence of left atrial low‐voltage areas (LVAs) in patients with persistent atrial fibrillation. read more here.

Keywords: atrial low; left atrial; artificial intelligence; low voltage ... See more keywords