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David Clifton

Showing results (51-60 of 62) with videos related to

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BMJ Innovations|September 22, 2025
Wearable remote monitoring for patients with COVID-19 in low-resource settings: case studyNguyen Van Vinh Chau, Ho Bich Hai, Heloise Greeff, et al.
BMC Primary Care|January 3, 2024
Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchersKevin G Pollock, Carissa Dickerson, Manjit Kainth, et al.
The American Journal of Tropical Medicine and Hygiene|December 14, 2019
Heart Rate Variability as an Indicator of Autonomic Nervous System Disturbance in TetanusHa Thi Hai Duong, Girmaw Abebe Tadesse, Phung Tran Huy Nhat, et al.
Journal of Medical Economics|July 14, 2022
Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in EnglandNathan R Hill, Lara Groves, Carissa Dickerson, et al.
BMC Infectious Diseases|February 15, 2024
Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth diseaseLe Nguyen Thanh Nhan, Nguyen Thanh Hung, Truong Huu Khanh, et al.
The American Journal of Tropical Medicine and Hygiene|November 20, 2023
Heart Rate Variability Measured from Wearable Devices as a Marker of Disease Severity in TetanusHo Bich Hai, Jonathan W S Cattrall, Nguyen Van Hao, et al.
Contemporary Clinical Trials|October 22, 2020
Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trialNathan R Hill, Chris Arden, Lee Beresford-Hulme, et al.
European Heart Journal. Digital Health|January 30, 2023
Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in EnglandNathan R Hill, Lara Groves, Carissa Dickerson, et al.
Clinical Imaging|August 13, 2025
A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariatesBenjamin D Simon, Stephanie A Harmon, Katie M Merriman, et al.
BMJ Global Health|August 23, 2022
SARS-CoV-2 infection in Africa: a systematic review and meta-analysis of standardised seroprevalence studies, from January 2020 to December 2021Hannah C Lewis, Harriet Ware, Mairead Whelan, et al.
Pageof 7

Showing results (51-60 of 62) with videos related to

Sort By:
Pageof 7
BMJ Innovations|September 22, 2025
Wearable remote monitoring for patients with COVID-19 in low-resource settings: case studyNguyen Van Vinh Chau, Ho Bich Hai, Heloise Greeff, et al.
BMC Primary Care|January 3, 2024
Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchersKevin G Pollock, Carissa Dickerson, Manjit Kainth, et al.
The American Journal of Tropical Medicine and Hygiene|December 14, 2019
Heart Rate Variability as an Indicator of Autonomic Nervous System Disturbance in TetanusHa Thi Hai Duong, Girmaw Abebe Tadesse, Phung Tran Huy Nhat, et al.
Journal of Medical Economics|July 14, 2022
Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in EnglandNathan R Hill, Lara Groves, Carissa Dickerson, et al.
BMC Infectious Diseases|February 15, 2024
Feasibility of wearable monitors to detect heart rate variability in children with hand, foot and mouth diseaseLe Nguyen Thanh Nhan, Nguyen Thanh Hung, Truong Huu Khanh, et al.
The American Journal of Tropical Medicine and Hygiene|November 20, 2023
Heart Rate Variability Measured from Wearable Devices as a Marker of Disease Severity in TetanusHo Bich Hai, Jonathan W S Cattrall, Nguyen Van Hao, et al.
Contemporary Clinical Trials|October 22, 2020
Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trialNathan R Hill, Chris Arden, Lee Beresford-Hulme, et al.
European Heart Journal. Digital Health|January 30, 2023
Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in EnglandNathan R Hill, Lara Groves, Carissa Dickerson, et al.
Clinical Imaging|August 13, 2025
A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariatesBenjamin D Simon, Stephanie A Harmon, Katie M Merriman, et al.
BMJ Global Health|August 23, 2022
SARS-CoV-2 infection in Africa: a systematic review and meta-analysis of standardised seroprevalence studies, from January 2020 to December 2021Hannah C Lewis, Harriet Ware, Mairead Whelan, et al.
Pageof 7