José Pizzorno

ORCID: 0009-0007-1651-0952
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About
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Research Areas
  • Pregnancy and preeclampsia studies
  • Blood Pressure and Hypertension Studies
  • Health and Lifestyle Studies
  • Acute Ischemic Stroke Management
  • Birth, Development, and Health
  • Maternal and Neonatal Healthcare
  • Cardiovascular Health and Disease Prevention
  • COVID-19 diagnosis using AI
  • Public Health and Environmental Issues
  • Cardiovascular and exercise physiology
  • Obesity, Physical Activity, Diet
  • Maternal and fetal healthcare
  • Gestational Diabetes Research and Management
  • Radiomics and Machine Learning in Medical Imaging
  • Artificial Intelligence in Healthcare and Education

National University of the Northeast
2006-2024

To investigate the diagnostic performance of an Artificial Intelligence (AI) system for detection COVID-19 in chest radiographs (CXR), and compare results to those physicians working alone, or with AI support.

10.1016/j.ibmed.2020.100014 article EN cc-by-nc-nd Intelligence-Based Medicine 2020-11-19

Objectives: To evaluate the impact of obesity on incidence and complications preeclampsia (PE). Material methods: Database 19,699 deliveries. The PE its was analyzed in relation to body mass index (BMI). Qualitative variables are expressed as percentages were with Pearson's chi square; quantitative ones mean SD, compared Student's test Anova. Differences <0.05 considered significant. SPSS 20 used. Results: 703 patients had (3.6%); BMI: Mean 23.7±5.8; Classification by Underweight: 9.2%;...

10.15406/jccr.2024.17.00601 article EN Journal of Cardiology & Current Research 2024-04-01

Objectives: To evaluate prevalence and predictors of eclampsia in patients with preeclampsia. Material Methods: database 11,026 consecutive births attended between Nov-98 Jun-04, 323 admitted a diagnosis preeclampsia (blood pressure >=140-90 2 doses plus proteinuria) were included this retrospective analysis. Eclampsia was diagnosed the presence associated seizures. Multiple logistic regression analysis performed to identify independent markers eclampsia. Results: The established 32 (10%)...

10.15406/jccr.2024.17.00606 article EN Journal of Cardiology & Current Research 2024-06-14

Objetivos: evaluar la prevalencia y los factores de riesgo pre-eclampsia - eclampsia (PE), analizar utilidad variables clínicas para detección gestantes riesgo.<br />Materiales métodos: estudio retrospectivo 15.469 partos consecutivos, asistidos el periodo 11-98/07-08. Se definió a 2 tomas tensión arterial ≥140-90 más proteinuria en presencia convulsiones con un score predicción utilizando número asociadas significativamente PE análisis regresión logística múltiple.<br...

10.30972/med.3534694 article ES Revista de la Facultad de Medicina 2015-03-17
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