Velardo, Carmelo

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., Denniston, A. K., Faes, L., Geerts, B., Ibrahim, M., et al. (2022) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 1,039

Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial

Mackillop, L., Hirst, J. E., Bartlett, K. J., Birks, J. S., Clifton, L., Farmer, A. J., Gibson, O., Kenworthy, Y., Levy, J. C., Loerup, L., et al. (2018) · JMIR mHealth and uHealth

Gestational Diabetes Research and ManagementMobile Health and mHealth Applications

Cited by 181

Telemedicine Technologies for Diabetes in Pregnancy: A Systematic Review and Meta-Analysis.

Ming, W.-K., Mackillop, L. H., Farmer, A. J., Loerup, L., Bartlett, K., Levy, J. C., Tarassenko, L., Velardo, C., Kenworthy, Y., & Hirst, J. E. (2016) · Journal of Medical Internet Research

Gestational Diabetes Research and ManagementTelemedicine and Telehealth Implementation

Cited by 167

Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort study

Hardinge, M., Rutter, H., Velardo, C., Shah, S. A., Williams, V., Tarassenko, L., & Farmer, A. (2015) · BMC Medical Informatics and Decision Making

Mobile Health and mHealth ApplicationsChronic Obstructive Pulmonary Disease (COPD) Research

Cited by 98

Blood pressure monitoring in high-risk pregnancy to improve the detection and monitoring of hypertension (the BUMP 1 and 2 trials): protocol for two linked randomised controlled trials

Dougall, G., Franssen, M., Tucker, K. L., Yu, L.-M., Hinton, L., Rivero-Arias, O., Abel, L., Allen, J., Band, R. J., Chisholm, A., et al. (2020) · BMJ Open

Pregnancy and preeclampsia studiesBlood Pressure and Hypertension Studies

Cited by 47

Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings

Jarchi, D., Salvi, D., Velardo, C., Mahdi, A., Tarassenko, L., & Clifton, D. A. (2018) · 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic Control

Cited by 38

Cognitive and behavioural strategies for weight management in overweight adults: Results from the Oxford Food and Activity Behaviours (OxFAB) cohort study

Hartmann-Boyce, J., Aveyard, P., Piernas, C., Koshiaris, C., Velardo, C., Salvi, D., & Jebb, S. A. (2018) · PLOS ONE

Obesity, Physical Activity, DietNutrition, Health and Food Behavior

Cited by 19