Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Suzanne is a content marketer, writer, and fact-checker. She holds ...

Deployment of artificial intelligence for point-of-care clinical decision support is in its nascency. Despite the media attention and proliferation of AI studies, translation to clinical practice is ...

Adaptive Decision Support Systems (ADSS) are computational systems designed to assist entities in making informed decisions by dynamically adapting to changing circumstances, user preferences, and ...

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 ...

Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. A few years ago, artificial intelligence (AI) promised to ...

To examine the impact of a clinical decision support system (CDSS) on breast cancer treatment decisions and adherence to National Comprehensive Cancer Center (NCCN) guidelines. A cross-sectional ...

The use of enabling technologies, such as artificial intelligence (AI), machine learning (ML) and natural language processing (NLP), for improving data preparation, insights generation and explanation ...

The clinical decision support space within the broader healthcare AI market is getting more and more crowded, with startups spawning a plethora of tools that help clinicians complete a variety of ...

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 ...

What exactly is an AI system anyway? CISOs are increasingly relying on AI to support decision-making -- here’s how to look at the systems available in today’s products and what they can accomplish.

Although hospitals and health systems do not closely track medical errors and misdiagnoses, these issues have begun to receive serious scrutiny. Evidence points to the need for immediate improvement ...