Artificial intelligence in pediatric cardiology: a scoping review

Y Sethi, N Patel, N Kaka, A Desai, O Kaiwan… - Journal of Clinical …, 2022 - mdpi.com
The evolution of AI and data science has aided in mechanizing several aspects of medical
care requiring critical thinking: diagnosis, risk stratification, and management, thus mitigating …

Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy

HMK Ghomrawi, MK O'Brien, M Carter… - NPJ Digital …, 2023 - nature.com
When children are discharged from the hospital after surgery, their caregivers often rely on
subjective assessments (eg, appetite, fatigue) to monitor postoperative recovery as objective …

ChatGPT and generative AI in urology and surgery—A narrative review

S Qin, B Chislett, J Ischia, W Ranasinghe… - BJUI …, 2024 - Wiley Online Library
Introduction ChatGPT (generative pre‐trained transformer [GPT]), developed by OpenAI, is a
type of generative artificial intelligence (AI) that has been widely utilised since its public …

Development of a peripheral blood transcriptomic gene signature to predict bronchopulmonary dysplasia

A Moreira, M Tovar, AM Smith… - … of Physiology-Lung …, 2023 - journals.physiology.org
Bronchopulmonary dysplasia (BPD) is the most common lung disease of extreme
prematurity, yet mechanisms that associate with or identify neonates with increased …

How Will Artificial Intelligence Shape the Future of Decision-Making in Congenital Heart Disease?

A Pozza, L Zanella, B Castaldi, G Di Salvo - Journal of Clinical Medicine, 2024 - mdpi.com
Improvements in medical technology have significantly changed the management of
congenital heart disease (CHD), offering novel tools to predict outcomes and personalize …

[HTML][HTML] Identifying Predictors of Psychological Problems Among Adolescents With Congenital Heart Disease for Referral to Psychological Care: A Pilot Study

JM Gosnell, MTM Finn, DN Marckini, AR Molla… - CJC Pediatric and …, 2023 - Elsevier
Background The lifelong care of patients with congenital heart disease (CHD) typically
begins at a young age, giving paediatric cardiologists a unique perspective on the mental …

[HTML][HTML] Deep Learning Model to Predict In-hospital Mortality of Newborns during Congenital Heart Disease Surgery

N Jiwani, K Gupta… - The Open …, 2023 - openbioinformaticsjournal.com
Purpose: Many parents are concerned about the cost of saving their child's life. The
operation's cost depends on the pathology's nature and the chosen clinic's class. The …

Potential applications of artificial intelligence and machine learning in spine surgery across the continuum of care

SR Browd, C Park, DA Donoho - International Journal of Spine …, 2023 - ijssurgery.com
The worlds of spinal surgery and computational science are intersecting at the nexus of the
operating room and across the continuum of patient care. As medicine moves toward …

Artificial intelligence in pediatric congenital and acquired heart disease

S Rangu, CD Reddy - Artificial Intelligence in Clinical Practice, 2024 - Elsevier
Artificial intelligence (AI) has emerged as a major frontier in healthcare research. Although
AI has been available for some time and found its application in many fields of medicine, its …

Análisis de la Actividad Neuronal para Estimar la Profundidad Anestésica en Niños

L Gutiérrez de Pablo - 2023 - uvadoc.uva.es
Dado que el cerebro es el órgano diana de muchos fármacos anestésicos, el interés por la
monitorización de la electroencefalografía (EEG) para registrar la actividad eléctrica del …