VM
Vinay Gandhi Mukkelli
AIIMS New Delhi, All India Institute of Medical Sciences
Research areas: Medicine · Epidemiology · Sepsis Diagnosis and Treatment · Machine Learning in Healthcare · Artificial Intelligence in Healthcare
0009-0006-6738-3167
Employment
-
AIIMS New Delhi DM Critical Care Medicine2022 - Present
Education
-
All India Institute of Medical Sciences DM/Critical care Medicine2022 - 2025
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Intravenous Aviptadil as Adjunctive Therapy in Severe Acute Respiratory Distress Syndrome: A Case Series of Three Distinct Clinical Scenarios Save
- Sulbactam–Durlobactam for Carbapenem-resistant Acinetobacter baumannii in India: Does Local Molecular Epidemiology Support Current Guideline Recommendations? Save
- Clinical Use of Aviptadil in Severe ARDS—Experience from Three Patients with Distinct Etiologies Save
- Development and validation of Machine Learning model to predict refractory septic shock Save
- Development and evaluation of predictive performance of “organ failure assessment by ratio score” to predict sepsis mortality in Indian intensive care unit patients: An observational study Save
- Early prognosis prediction in mechanically ventilated patients using machine learning for tertiary care hospital settings Save
- Explainable machine learning models for mortality prediction in patients with sepsis in tertiary care hospital ICU in low- to middle-income countries Save
- Phenotypic Analysis of Intra-abdominal Sepsis: A Retrospective Observational Study Save
- Predicting mechanical ventilation duration in ICU patients: A data-driven machine learning approach for clinical decision-making Save
- AI Driven Prediction Model for Mechanical Ventilation Duration Using Lung Ultrasound Score Save
- Efficacy of neutrophil-lymphocyte ratio, serum lactate, and lactate clearance in predicting mortality in patients with sepsis admitted to a tertiary care hospital: A prospective observational study Save
- Neutrophil-Lymphocyte Ratio, Serum Lactate and Lactate Clearance in Predicting Mortality in Patients with Sepsis in the Emergency Department Save