This article describes the development and capabilities of a Webbased decision support system for care managers working in the context of the chronic care model. Objective: To inform the design of ...
Graph models have emerged as a pivotal framework in the analysis of strategic conflicts and the development of decision support systems. These models represent conflicts as networks, where nodes ...
Sacituzumab Govitecan Versus Docetaxel for Previously Treated Advanced or Metastatic Non–Small Cell Lung Cancer: The Randomized, Open-Label Phase III EVOKE-01 Study The IPSS-M provides important new ...
Multi-AI agents – multiple artificial intelligence agents working together in a shared environment – can be used to address persistent workflow challenges in clinical decision support, drawing from ...
MEREDITH identified a broader range of treatment options (median 4) compared with MTB experts (median 2). These options included therapies on the basis of preclinical data and combination treatments, ...
About The Study: Compared with usual care, use of the PETRUSHKA tool increased the number of patients still taking their antidepressant at 8 weeks and improved depressive and anxiety symptoms at 24 ...
The global clinical decision support system market is projected to expand at an approximate CAGR of around 10% throughout the forecast timeline, supported by the rapid adoption of electronic health ...
The SNUH POLARIS (Precision Oncology and Rare-Common Disease Supporter) is said to be the first of its kind in South Korea that supports personalised treatment driven by AI and based on big clinical ...
16d
Paklogics Highlights Explainable AI and the Growing Focus on Accountability in Healthcare Systems
Artificial intelligence is becoming an increasingly visible part of modern healthcare technology. Hospitals, research institutions, and healthcare organizations are exploring ways AI systems can ...
The rising complexities of chronic disease management and the accelerated growth of healthcare’s big data present a challenge—and an opportunity. Although more and more clinical data is available in ...
Decision intelligence is a new field that helps support, augment and automate business decisions by linking data with decisions and outcomes. It uses a combination of methods (e.g., decision mapping ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results