Is it possible for artificial intelligence to make healthcare more environmentally sustainable?
In the field of radiology, AI may prove to be transformative. It has the potential to streamline processes, cut costs, and increase accuracy in imaging, diagnostics, and prevention.
When we talk about sustainability, we often think of carbon emissions or climate change. But environmental sustainability means something much broader in healthcare: it’s about how we can preserve resources, whether cost, energy, human capital, and reduce waste and pollution, all while improving health outcomes for everyone, everywhere.
Today, host Vibhas Deshpande, Head of Sustainability Innovation and Research, Americas at Siemens Healthineers, welcomes Dr. Kate Hanneman, cardiac radiologist at the University of Toronto; Dr. Charles Goh, Chief Medical Informatics Officer at Singapore General Hospital; and Tobias Heimann, head of the Department of Artificial Intelligence Germany at Siemens Healthineers, to explore how the rise of artificial intelligence is reshaping the conversation around sustainability in healthcare.
Together, they’re helping define what “responsible AI” really means—and what steps healthcare leaders can take now to ensure that AI benefits patients, clinicians and health systems and preserves global resources.
What you’ll learn in this episode:
Connect with Vibhas Deshpande
Connect with Kate Hanneman
Connect with Charles Goh
Connect with Tobias Heimann
","author_name":"Siemens Healthineers"}