Mathur P and Burns ML. Artificial Intelligence in Critical Care. Int Anesthesia Clin 2019; 57(2): 89-102. Click here to view the paper Abstract No abstract available. The full list of the top 100 articles on artificial intelligence and artificial intelligence in medicine are published here: Intelli
Komorowski M, Celi LA, Badawi O et al. The Artificial Intelligence Clinician Learns Optimal Treatment Strategies for Sepsis in Intensive Care. Nat Med 2018; 24(11): 1716-1720. Click here to view the paper Abstract Sepsis is the third leading cause of death worldwide and the main cause of mortality
The highly infectious nature of COVID-19 is challenging grief and bereavement. In many places across the World, families are forbidden to say goodbye to their dying loved ones in hospitals. On the other hand, patients, especially those who are deteriorating quickly, are forced into the possibility o
Recently, some hospitals have started deploying artificial intelligence (AI) to decide when patients should begin palliative care. These machines screen patients’ medical records to determine their chances of survival in the coming year. They will then notify their physician-in-charge via emails and
Intensive Care Consultant Matthieu Komorowski’s moving personal account from the COVID frontline
Johnson AE, Pollard TJ, Shen L et al. MIMIC-III, A Freely Accessible Critical Care Database. Sci Data 2016; 3:160036. Click here to view the paper Abstract MIMIC-III ('Medical Information Mart for Intensive Care') is a large, single-center database comprising information relating to patients admitt
Anthony Chang is joined by Dr Matthieu Komorowski, a leading data scientist clinician working on the front lines of the COVID response in the UK. Dr Komorowski shares his personal experience of the pandemic and how data science can help at both an organisational level as well as directly at point o
Anthony Chang in conversation with “the ultimate clinician data scientist” Leo Celi. Dr Celi shares his experience of working on the frontline in ICU; his Lancet editorial on sharing of data; the obstacles for publicly available datasets including culture, attitudes, politics; and the collaborative