Image Interpretation Principles of 3D Automated Br
- Decision Support
- 04:24 PM, Jun 02
A study published in Journal of Palliative Medicine describes the development and testing of a decision support system for palliative care based on pharmacogenomics. Pharmacogenomics describes the variation...
READ MOREJapanese researchers testing an artificial intelligence (AI) system found that it could classify oesophageal squamous cell carcinoma (OSCC) with higher accuracy, sensitivity, and specificity than endoscopists....
READ MOREWe cannot predict the future, but we can prepare for a future that is increasingly unpredictable. With creativity, courage, and the power to get things done, we are preparing to master tomorrow’s challenges...
READ MOREPET/CT is a hybrid imaging procedure that visualizes metabolic processes. Since tumor cells have a different metabolism from normal cells, PET/CT is primarily used to aid in cancer diagnosis. PET/CT scans can also...
READ MOREA new analysis from the Duke-Margolis Center for Health Policy details the data elements that real-world data (RWD) sources need when evaluating the performance of artificial intelligence (AI)-supported clinical...
READ MOREIn a study appearing in JAMA Network Open , researchers found that primary care clinicians can significantly lower cardiovascular risk for patients with severe mental illness (SMI) when using a clinical decision...
READ MOREThe preanalytical phase of the blood gases study is the most susceptible to errors, causing increased time and costs for patients and hospitals. Knowledge and training of the involved health personnel must be...
READ MOREPatients in the intensive care unit generally have complex healthcare issues with underlying comorbidities and organ dysfunction. They are thus more vulnerable to medical errors. Often, the treatment of these...
READ MOREJoin our panellists on March 1 at 16:00 CET as they discuss the prevalence and types of medical errors in the ICU, the psychological impact of these errors, and strategies to prevent them and improve the safety...
READ MORESignificant efforts have been made to make hospitals and ICUs as safe as possible. As healthcare workers (HCWs) try to get through this pandemic, the focus of this article is to explore practical...
READ MOREAdverse events (AEs) are common among critically ill patients. Evidence about the nature, preventability and predictability of AEs can be used to reinvest in efforts to reduce them and improve patient...
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