Published on in Vol 10, No 5 (2022): May
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/35293, first published
.
Journals
- Rav Acha M, Taha L, Turyan A, Farkash R, Bayya F, Karmi M, Steinmetz Y, Shaheen F, Perel N, Hamayel K, Levi N, Karameh H, Tvito A, Glikson M, Asher E. D-Dimer as a Prognostic Factor in a Tertiary Center Intensive Coronary Care Unit. Clinical and Applied Thrombosis/Hemostasis 2022;28 View
- Chander S, Kumari R, Sadarat F, Luhana S. The Evolution and Future of Intensive Care Management in the Era of Telecritical Care and Artificial Intelligence. Current Problems in Cardiology 2023;48(10):101805 View
- Flaatten H, Beil M. Predicting ICU Outcomes. CHEST 2023;164(3):570 View
- Taylor B, Barboi C, Boustani M. Passive digital markers for Alzheimer's disease and other related dementias: A systematic evidence review. Journal of the American Geriatrics Society 2023;71(9):2966 View
- Wehkamp K, Krawczak M, Schreiber S. The quality and utility of artificial intelligence in patient care. Deutsches Ärzteblatt international 2023 View
- Moosavi Kashani S, Zargar Balaye Jame S. Mortality Prediction in Emergency Department Using Machine Learning Models. Journal of Archives in Military Medicine 2023;11(3) View
- Atallah L, Nabian M, Brochini L, Amelung P. Machine Learning for Benchmarking Critical Care Outcomes. Healthcare Informatics Research 2023;29(4):301 View
- Chen Y, He J, Wu Q, Pu S, Song C. Prevalence and risk factors of exposure keratopathy among critically ill patients: A systematic review and meta‐analysis. Nursing Open 2024;11(1) View
- Boussen S, Benard-Tertrais M, Ogéa M, Malet A, Simeone P, Antonini F, Bruder N, Velly L. Heart rate complexity helps mortality prediction in the intensive care unit: A pilot study using artificial intelligence. Computers in Biology and Medicine 2024;169:107934 View
- Valiente Fernández M, Lesmes González de Aledo A, Martín Badía I, Delgado Moya F. Comparing Traditional Regression and Machine Learning Models in Predicting Acute Respiratory Distress Syndrome Mortality. Critical Care Medicine 2024;52(2):e105 View
- Khalifa M, Albadawy M. Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions. Computer Methods and Programs in Biomedicine Update 2024;5:100148 View
- Kuziemsky C, Chrimes D, Minshall S, Mannerow M, Lau F. AI Quality Standards in Health Care: Rapid Umbrella Review. Journal of Medical Internet Research 2024;26:e54705 View
- Ruksakulpiwat S, Thorngthip S, Niyomyart A, Benjasirisan C, Phianhasin L, Aldossary H, Ahmed B, Samai T. A Systematic Review of the Application of Artificial Intelligence in Nursing Care: Where are We, and What’s Next?. Journal of Multidisciplinary Healthcare 2024;Volume 17:1603 View
- Beil M, Moreno R, Fronczek J, Kogan Y, Moreno R, Flaatten H, Guidet B, de Lange D, Leaver S, Nachshon A, van Heerden P, Joskowicz L, Sviri S, Jung C, Szczeklik W. Prognosticating the outcome of intensive care in older patients—a narrative review. Annals of Intensive Care 2024;14(1) View