But in one of the first real-world tests of an AI tool, working side-by-side with clinicians in Kenya, researchers showed ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

A credible health stat didn’t hold up. This real-world example reveals how AI search can mislead and how healthcare brands can respond. The post When AI summarizes health data, small errors become big ...

Even the most powerful AI models, including ChatGPT, can make surprisingly basic errors when navigating ethical medical ...

Medical errors are still harming patients. AI could help change that Medication mistakes — where the wrong drug or the wrong dosage is given to a patient — are among the most common errors in ...

In boardrooms and innovation hubs worldwide, artificial intelligence (AI) is no longer a distant promise, it’s a current ...

In 2023, he co-founded an AI-Native healthcare technology company, Keebler Health, and currently serves as the CEO. This post appears through the MedCity Influencers program.

Generative AI chatbot for doctors called 'Prof. Valmed' earns E.U. approval. In the U.S., FDA is yet to issue guidelines on the technology's use in medicine.

This retrospective study suggested that ChatGPT-4 can help radiologists in rereading reports by identifying the most common errors. The performance of AI in this field approaches that of the most ...

On the provider side, 58% are using AI for administrative tasks, such as medical coding, billing and scheduling, while 44% are deploying AI for clinical decision support and imaging analysis. The ...

One study estimates that broader adoption of AI in healthcare could lead to savings between 5% and 10% in U.S. healthcare spending, equating to approximately $200 billion to $360 billion annually.

The global AI healthcare market, valued at USD 29.01 billion in 2024, is projected to reach USD 504.17 billion by 2032.In Europe alone, the market is expected to grow from USD 7.92 billion in 2024 to ...