AI in healthcare presents significant opportunities to enhance diagnostic accuracy, personalize treatment, and improve patient management through predictive analytics and precision medicine. Key ...

In The Lancet Digital Health, a systematic review and meta-analysis by Alabed Samer and colleagues1 provides a clear picture about the current state of clinical artificial intelligence (AI) in ...

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test using genome-wide cell-free DNA (cfDNA) fragmentation patterns and repeat ...

As artificial intelligence in revenue cycle management quickly gains ground, a new startup, Procode AI, launched out of ...

The summit, being held in June, will explore AI’s incredible potential to improve health care, education, the environment and other areas.

Discover Singapore's new initiatives in preventive medicine, including AI, genetic screening, and Medisave flexibility, to ...

It is where AI faces its hardest test: layers of regulation, life-or-death stakes, complex biology, and a deeply human, compassionate core that most people would assume is the last thing a machine ...

While Global Strategy sets the initial direction, true agility is sustained through a 360-degree loop that prioritises ...

Artificial intelligence is emerging as a powerful tool for improving the diagnosis, phenotyping, and treatment of inflammatory skin diseases such as alopecia.

Researchers at CHEO have enlisted artificial intelligence to help with a difficult problem: the high number of children and youth who return to the hospital’s emergency department within six months of ...

A new Stanford/Harvard study assessed 31 AI models. Here's the winner and the full list of AIs ranked by how well they answer complex clinical questions.

From navigating electronic health records and HIPAA compliance to applying predictive analytics, health informatics is now essential to the daily work of nursing. But aligning coursework with that ...