How AI-powered diagnostics can elevate patient outcomes

A report revealed that AI-powered tools utilise advanced algorithms for a personalised approach.

The adoption of artificial intelligence (AI) powered diagnostic tools reflects the medical industry’s focus towards precision medicine, according to GlobalData.

The report revealed that AI-powered tools allow for a personalised approach by analysing biological and clinical data through advanced algorithms that account for individual patient characteristics, biomarkers, and disease profiles.

These AI capabilities are incorporated in medical devices such as advanced imaging systems, smart robots, wearable technology, AI-based data analysis, and simulation platforms amongst others.

Elia Garcia, a Medical Analyst at GlobalData said that integrating AI into existing healthcare systems, such as electronic medical records (EMRs) improves clinician access to diagnostic insights and patient data.

“AI has enormous potential to improve patient safety in healthcare facilities by enabling early detection and diagnosis, risk assessment and prediction, seamless integration with existing healthcare systems, and the development of personalized therapeutic interventions,” Garcia said.