AI agents are autonomous, goal-driven systems that perceive, reason, and act—handling multi-step clinical workflows with human-like adaptability (e.g., diagnosing and offering mental health support) Unlike rule-based automation, AI agents learn, make context-aware decisions, and act proactively—transforming static automation into dynamic collaboration.

An inmate at a New York correctional facility, Glenn Rodriguez, was due for parole soon. The man had demonstrated excellent behavior and eagerly anticipated his release to embark on a fresh start. To Glenn’s dismay, the board denied him parole.

Artificial intelligence (AI) promises sharper insights, faster decisions, and leaner operations. Every organization wants in. But AI thrives on data. Yet most of that data is sensitive, and global regulations like GDPR, HIPAA, and CCPA are tightening the rules on how it’s handled.

The costs of implementing AI in healthcare range from $40,000 for simple AI functionality to $100,000 and much more for a comprehensive, complex AI solution

According to the American Medical Association, physician burnout rate reached almost 64% in 2022, while professional fulfillment scores plummeted to 22%. This seems like the right time for the medical sector to look for a solution.

Benefits of AI in healthcare: from diagnosing patients to automating workflows

AI drug discovery: Entering a new age