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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.