[HTML][HTML] Predicting hemodynamic shock from thermal images using machine learning

A Nagori, LS Dhingra, A Bhatnagar, R Lodha, T Sethi - Scientific reports, 2019 - nature.com
Proactive detection of hemodynamic shock can prevent organ failure and save lives.
Thermal imaging is a non-invasive, non-contact modality to capture body surface …

Development of smart phone-based child health screening tools for community health workers

R Fletcher, XS Díaz, H Bajaj… - 2017 IEEE Global …, 2017 - ieeexplore.ieee.org
Child health screening is a fundamental component of public health, which includes
neonatal screening, detection of infectious diseases and monitoring of nutritional status …

[HTML][HTML] Early prediction of hemodynamic shock in pediatric intensive care units with deep learning on thermal videos

V Vats, A Nagori, P Singh, R Dutt, H Bandhey… - Frontiers in …, 2022 - frontiersin.org
Shock is one of the major killers in intensive care units, and early interventions can
potentially reverse it. In this study, we advance a noncontact thermal imaging modality for …

[HTML][HTML] Early prediction of hypothermia in pediatric intensive care units using machine learning

P Singh, A Nagori, R Lodha, T Sethi - Frontiers in Physiology, 2022 - frontiersin.org
Hypothermia is a life-threatening condition where the temperature of the body drops below
35° C and is a key source of concern in Intensive Care Units (ICUs). Early identification can …

Generalized prediction of hemodynamic shock in intensive care units

A Nagori, P Singh, S Firdos, V Vats, A Gupta… - medRxiv, 2021 - medrxiv.org
Early prediction of hemodynamic shock in the ICU can save lives. Several studies have
leveraged a combination of vitals, lab investigations, and clinical data to construct early …

[HTML][HTML] Stewarding antibiotic stewardship in intensive care units with Bayesian artificial intelligence

T Sethi, S Maheshwari, A Nagori… - Wellcome Open …, 2018 - wellcomeopenresearch.org
Emerging antimicrobial resistance (AMR) is a global threat to life. Injudicious use of
antibiotics is the biggest driver of resistance evolution, creating selection pressures on micro …

Smart Phone-Based Non-Contact Assessment of Human Breathing and Respiration for Diagnostic and Therapeutic Applications

XS Díaz, J Mofor, R Bhat… - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
Non-contact assessment of breathing is a valuable tool to assist in the health screening of
infants and neonates, very old frail patients, or patients with infectious diseases, where it is …

[PDF][PDF] Generalized prediction of shock in intensive care units using deep learning

A Nagori, A Kalia, A Sharma, P Singh, H Bandhey… - 2021 - academia.edu
Shock is a major killer in the ICU and Deep learning based early predictions can potentially
save lives. Generalization across age and geographical context is an unaddressed …

Early Prediction of Hemodynamic Shock in the Intensive Care Units with Deep Learning on Thermal Videos

V Vats, A Nagori, P Singh, R Dutt, H Bandhey… - medRxiv, 2020 - medrxiv.org
Shock is one of the major killers in Intensive Care Units and early interventions can
potentially reverse it. In this study, we advance a non-contact thermal imaging modality to …

A Prospectively Validated Generalizable Model for Outcome Prognostication Using Shock Index in Intensive Care Units

A Nagori, P Singh, S Firdos, V Vats, A Gupta… - papers.ssrn.com
Background: Shock Index (SI) is a widely accepted indicator for prognosticating outcomes in
critical care and emergency settings. This study aimed at building a generalizable and …