Artificial Intelligence

The precision medicine initiative will use real-world data from the Learning Health Network for clinical validation and refinement of cancer risk prediction models.

Only three to four in 10 leaders are able to harness data and use AI and predictive analytics.

It will assess the impact of annalise.ai's chest x-ray platform on diagnostic accuracy and patient management.

iMedX's solution will replace the organisation's legacy, on-premise clinical documentation tool.

Complex care pathways are fuelling a patient information explosion and creating workload challenges, particularly in high data-generating departments such as radiology.

Once validated, machine learning-based labor risk scores could be used in clinical practice to monitor labor in real time and improve maternal care, new Mayo Clinic research shows.

Care, data and connectivity as well as what Indonesia can learn from other nations to advance digital transformation in healthcare will be major themes at the HIMSS22 Asia-Pacific Conference happening from 26-29 September in Bali, Indonesia.

According to the World Health Organization, breast cancer survival rates vary significantly between different countries.

After identifying risks that patients may not take medications, providers received financial resources information to share with them.