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2d video clips using a hcu device lumify  (Philips Healthcare)

 
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    Structured Review

    Philips Healthcare 2d video clips using a hcu device lumify
    (A) Comparison of LVEF estimation model performance for transthoracic <t>echocardiography</t> <t>(TTE)</t> (i) versus handheld cardiac ultrasound <t>(HCU)</t> data (ii) from the prospective cohort, as well as the correlation between model estimates for TTE versus HCU (iii). (B) LVEF binary classification performance for HCU and TTE data from the prospective cohort. AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value; RMSE, root mean squared error.
    2d Video Clips Using A Hcu Device Lumify, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/2d+video+clips+using+a+hcu+device+lumify/2d+video+clips+using+a+hcu+device+lumify/pmc11975991-50-45-48
    Average 90 stars, based on 1 article reviews
    2d video clips using a hcu device lumify - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound"

    Article Title: Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound

    Journal: Mayo Clinic Proceedings: Digital Health

    doi: 10.1016/j.mcpdig.2025.100194

    (A) Comparison of LVEF estimation model performance for transthoracic echocardiography (TTE) (i) versus handheld cardiac ultrasound (HCU) data (ii) from the prospective cohort, as well as the correlation between model estimates for TTE versus HCU (iii). (B) LVEF binary classification performance for HCU and TTE data from the prospective cohort. AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value; RMSE, root mean squared error.
    Figure Legend Snippet: (A) Comparison of LVEF estimation model performance for transthoracic echocardiography (TTE) (i) versus handheld cardiac ultrasound (HCU) data (ii) from the prospective cohort, as well as the correlation between model estimates for TTE versus HCU (iii). (B) LVEF binary classification performance for HCU and TTE data from the prospective cohort. AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value; RMSE, root mean squared error.

    Techniques Used: Comparison

    (A) Age estimation results. (i) Correlation between chronological age and model-estimated age for the testing dataset of retrospective TTE data from Mayo Clinic Rochester. (ii) For the prospective cohort, correlation between chronological age and model-estimated age for TTE (a) and HCU (b), and the correlation between model-estimated age for TTE versus HCU (c). (B) Sex classification performance for the testing dataset of retrospective TTE data from Mayo Clinic Rochester (i), and comparison between TTE and HCU data from the prospective cohort (ii). For this analysis, male is considered the positive class. AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value
    Figure Legend Snippet: (A) Age estimation results. (i) Correlation between chronological age and model-estimated age for the testing dataset of retrospective TTE data from Mayo Clinic Rochester. (ii) For the prospective cohort, correlation between chronological age and model-estimated age for TTE (a) and HCU (b), and the correlation between model-estimated age for TTE versus HCU (c). (B) Sex classification performance for the testing dataset of retrospective TTE data from Mayo Clinic Rochester (i), and comparison between TTE and HCU data from the prospective cohort (ii). For this analysis, male is considered the positive class. AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value

    Techniques Used: Comparison

    Related Articles

    Comparison:

    Article Title: Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound
    Article Snippet: patients who visited Mayo Clinic Rochester as an outpatient for a clinically indicated TTE examination from November 1, 2022, to September 30, 2023. .. Immediately after their TTE examination (ie, within the same session in the same environment), if patients provided verbal consent for additional clips to be collected for research purposes, the same sonographer who performed the TTE examination collected the following 5 2D video clips using a HCU device (Lumify, Philips Healthcare): PLAX, parasternal short axis, A4C, apical 3-chamber, and A2C. .. After downloading and preprocessing data (as described in the Supplemental Appendix), we identified patients passing view selection criteria for both



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    2d video clips using a hcu device lumify  (Philips Healthcare)
    90
    Philips Healthcare 2d video clips using a hcu device lumify
    (A) Comparison of LVEF estimation model performance for transthoracic <t>echocardiography</t> <t>(TTE)</t> (i) versus handheld cardiac ultrasound <t>(HCU)</t> data (ii) from the prospective cohort, as well as the correlation between model estimates for TTE versus HCU (iii). (B) LVEF binary classification performance for HCU and TTE data from the prospective cohort. AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value; RMSE, root mean squared error.
    2d Video Clips Using A Hcu Device Lumify, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/2d+video+clips+using+a+hcu+device+lumify/2d+video+clips+using+a+hcu+device+lumify/pmc11975991-50-45-48
    Average 90 stars, based on 1 article reviews
    2d video clips using a hcu device lumify - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    (A) Comparison of LVEF estimation model performance for transthoracic echocardiography (TTE) (i) versus handheld cardiac ultrasound (HCU) data (ii) from the prospective cohort, as well as the correlation between model estimates for TTE versus HCU (iii). (B) LVEF binary classification performance for HCU and TTE data from the prospective cohort. AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value; RMSE, root mean squared error.

    Journal: Mayo Clinic Proceedings: Digital Health

    Article Title: Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound

    doi: 10.1016/j.mcpdig.2025.100194

    Figure Lengend Snippet: (A) Comparison of LVEF estimation model performance for transthoracic echocardiography (TTE) (i) versus handheld cardiac ultrasound (HCU) data (ii) from the prospective cohort, as well as the correlation between model estimates for TTE versus HCU (iii). (B) LVEF binary classification performance for HCU and TTE data from the prospective cohort. AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value; RMSE, root mean squared error.

    Article Snippet: Immediately after their TTE examination (ie, within the same session in the same environment), if patients provided verbal consent for additional clips to be collected for research purposes, the same sonographer who performed the TTE examination collected the following 5 2D video clips using a HCU device (Lumify, Philips Healthcare): PLAX, parasternal short axis, A4C, apical 3-chamber, and A2C.

    Techniques: Comparison

    (A) Age estimation results. (i) Correlation between chronological age and model-estimated age for the testing dataset of retrospective TTE data from Mayo Clinic Rochester. (ii) For the prospective cohort, correlation between chronological age and model-estimated age for TTE (a) and HCU (b), and the correlation between model-estimated age for TTE versus HCU (c). (B) Sex classification performance for the testing dataset of retrospective TTE data from Mayo Clinic Rochester (i), and comparison between TTE and HCU data from the prospective cohort (ii). For this analysis, male is considered the positive class. AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value

    Journal: Mayo Clinic Proceedings: Digital Health

    Article Title: Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound

    doi: 10.1016/j.mcpdig.2025.100194

    Figure Lengend Snippet: (A) Age estimation results. (i) Correlation between chronological age and model-estimated age for the testing dataset of retrospective TTE data from Mayo Clinic Rochester. (ii) For the prospective cohort, correlation between chronological age and model-estimated age for TTE (a) and HCU (b), and the correlation between model-estimated age for TTE versus HCU (c). (B) Sex classification performance for the testing dataset of retrospective TTE data from Mayo Clinic Rochester (i), and comparison between TTE and HCU data from the prospective cohort (ii). For this analysis, male is considered the positive class. AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value

    Article Snippet: Immediately after their TTE examination (ie, within the same session in the same environment), if patients provided verbal consent for additional clips to be collected for research purposes, the same sonographer who performed the TTE examination collected the following 5 2D video clips using a HCU device (Lumify, Philips Healthcare): PLAX, parasternal short axis, A4C, apical 3-chamber, and A2C.

    Techniques: Comparison