Alex John London: AI in Healthcare Must Show Safety and Efficacy Before Use
Alex John London, K and L Gates Professor of Ethics and Computational Technologies at Carnegie Mellon University, shared a post on LinkedIn about a recent article by Anna Goldenberg and Jenna Wiens, published in Nature Medicine։
”I’m so old I remember when the safety and efficacy of medical interventions had to be demonstrated convincingly before clinical deployment.
‘To maximize the impact and answer whether AI is improving health-care, we must hold it to the same evidentiary standards as other clinical interventions.
It is not enough to demonstrate accuracy or feasibility and show potential.
The promise of AI in healthcare will be fulfilled when we provide evidence that AI meaningfully changes clinical decisions – and that those changed decisions improve outcomes.’ ”
Title: Is AI actually improving healthcare?
Authors: Anna Goldenberg, Jenna Wiens

Stay updated on all scientific advances Hemostasis Today.
-
Sep 30, 2026, 01:52Javed Anees: DADA2 – When a Young Stroke Is More Than a Stroke
-
Sep 30, 2026, 01:51How a Venous Thrombus Becomes Revascularized – ISTH
-
Sep 29, 2026, 22:45Victor Agunyego: Paracetamol – The Most Common Drug We Underestimate
-
Sep 29, 2026, 22:42Nova Sinclair: Advancing the Future of Hematology – Meet Our 2027 Organizing Committee
-
Sep 29, 2026, 22:41Lorenz Räber: Intracoronary Imaging in PCI – Why, When, How, and Which Modality?
-
Sep 29, 2026, 22:31Selma Turkovic: Pleased to Deliver the Opening Presentation at Kingston Hospital
-
Sep 29, 2026, 22:31Miguel Teran: Ultrasound and Simulation in Arterial Blood Sampling
-
Sep 29, 2026, 22:28Mohammad Refaei: Navigating Your Career in Hematology From Training to Practice
-
Sep 29, 2026, 22:27Matteo Foschi: 10 Clinical Pearls for Antithrombotic Therapy in Secondary Stroke Prevention