Completed Computing & AI NIHR-supported project Lungs & Breathing
Utilising large scale case-mix adjusted routine clinical, pathogen and antibiotic usage data in generating predictive AI models of adverse clinical outcomes in infections and sepsis
About this grant
This summary is based on the grant title only — the full abstract was not available.
No substantive source abstract was published for this research project funded by NIHR.
Researchers
Harjeet Singh Virk (Principal Investigator)
Related Research
Grants with similar aims, by meaning.
Developing artificial intelligence (AI) for clinical antimicrobial stewardship in an era of increasing antimicrobial resistance (AMR).
Designing a Paediatric Sepsis Prediction Tool using Machine Learning
Passive evaluation in operational environment of the AI Clinician decision support system for sepsis treatment.
Clinical validation of the AI Clinician decision support system for sepsis treatment
Clinical validation of the AI; Clinical Validation Of The AI Clinician Decision Support System For Sepsis Treatment
Original classification
Microbiology, Immunology and Infection (MII)Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research. Is something wrong? Let us know