Artificial Intelligence

In the year ahead, a new president and new policies won't be the only changes in store as artificial intelligence, cybersecurity, virtual care, digital therapeutics, reimbursement and more continue to evolve.

The promise and potential of conversational artificial intelligence (AI) for driving operational efficiencies and improving patient outcomes are real, but AI isn’t the answer to every challenge healthcare organizations face.

The Coalition for Health AI is offering its Applied Model Card artificial intelligence transparency tool on GitHub to build "the kind of trust that we need," says its CEO Dr. Brian Anderson.

Fight voice call fraud and strengthen patients’ trust in your brand.

Healthcare providers and IT vendors in the region have weighed in with their predictions for healthcare technology in the new year.

A statistical analysis evaluated a refit of the Dementia AlgoRithm, which helps determine patients at risk for cognitive decline, using administrative claims data. It found the new models could be a game-changer for value-based care providers.

Data of around six million patients are currently being vectorised as part of this development, according to CIO and professor Sang-Heon Lee.

The sprawling health system believes artificial intelligence should never replace the judgment of clinicians and must be carefully assessed, says Dr. Daniel Yang, who offers a closer look at Kaiser's successful rollout of a genAI tool for clinicians, among other insights.

The health system's proprietary model offers a clinically validated approach to identifying behavioral health patterns and risk stratification to help guide more targeted decision making and improve care, the company says.

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