Artificial Intelligence in Healthcare
AI in healthcare is transforming how we tackle challenges like data overload, staff shortages, and rising costs.
Embracing digitization and improved algorithms, AI-enhanced care helps streamline workflows, interpret results, and predict outcomes.
Though we need clearer guidelines and effectiveness assessments, HTA’s role is crucial in guiding policy and resource allocation. Together, let’s unlock AI’s full potential in healthcare!
Read more on our perspectives of AI.
Recent Posts
Donanemab Alzheimer’s Approval: A New Era in Treatment
The EMA granted marketing authorization for donanemab, a monoclonal antibody targeting beta-amyloid plaques. It treats early symptomatic Alzheimer's disease (mild cognitive impairment or mild dementia with confirmed amyloid pathology). This approval highlights donanemab's role in Alzheimer's trea...
Building a Better Ecosystem for Digitally Enabled Diabetes Care in Europe
Digitally enabled diabetes care is rapidly transforming the management of Type 2 diabetes (T2D) across Europe. How does expanding access to these digital solutions improve health outcomes and reduce costs for individuals and health systems? Early evidence and recent policy recommendations (publis...
AI in Real-World Evidence: Insights from Mitch Higashi
In this update, we review the Q&A with Mitch Higashi, PhD, ISPOR’s Associate Chief Science Officer published on Pharmalive. It discusses AI in Real-World Evidence (RWE) and health technology assessments (HTA). Key themes include AI-driven early disease detection and NLP tackling unstructured ...