Decision Support

The project led by Yonsei University and Seoul National University aims to develop AI-based screening tools for early autism detection.

AI is steadily reshaping healthcare with promising advances, but significant challenges to broader adoption still must be overcome.

Clinical decision support technology has enabled automatic inclusion of risk results in the health system's reports. Among many other improvements, the ability to stratify patients earlier and more accurately allows staff to provide additional care before cancer is detected.

It is now preparing to undergo the Stage 7 EMRAM validation.

Also, the South Korean government has launched tariff support for medical device companies following Trump's tariffs.

Improved patient experience has earned the Indonesian hospital a 4.9 Google review rating, among other outcomes.

These networks started impacting healthcare in the last 20 years, but it's only today that reliable prospective studies are convincing clinicians to use these artificial intelligence tools in their daily work. A Mayo Clinic researcher offers some insights into their applications and use.

Automated functionalities and analytic tools are soon coming to EMC Healthcare's EMR system. 

The research platform allows researchers to utilise data from 6.85 million patients.

The five-year collaboration aims to develop and deploy more artificial intelligence tools for faster disease detection in public and private healthcare, and advance the university's leadership in digital pathology.