Economic and environmental costs of cloud technologies for medical imaging and radiology artificial intelligence

FX Doo, P Kulkarni, EL Siegel, M Toland… - Journal of the American …, 2024 - Elsevier
Radiology is on the verge of a technological revolution driven by artificial intelligence
(including large language models), which requires robust computing and storage …

Optimal large language model characteristics to balance accuracy and energy use for sustainable medical applications

FX Doo, D Savani, A Kanhere, RC Carlos, A Joshi… - Radiology, 2024 - pubs.rsna.org
Background Large language models (LLMs) for medical applications use unknown amounts
of energy, which contribute to the overall carbon footprint of the health care system. Purpose …

Best Practices for Large Language Models in Radiology

C Bluethgen, D Van Veen, C Zakka, K Link… - arXiv preprint arXiv …, 2024 - arxiv.org
At the heart of radiological practice is the challenge of integrating complex imaging data with
clinical information to produce actionable insights. Nuanced application of language is key …

Planetary Health: A Primer for Radiologists

J Schoen, JR Scheel - Journal of the American College of Radiology, 2024 - jacr.org
Planetary health and sustainability is an emerging field in medicine and likely an unfamiliar
topic for most radiologists. Why is JACR dedicating a focus issue to a subject that seems …

Let's Talk About Low-Dose Contrast Medium as an Option to Lower Carbon Footprint

IB Boehm - Journal of the American College of Radiology, 2024 - jacr.org
Let's Talk About Low-Dose Contrast Medium as an Option to Lower Carbon Footprint CT
and MR scan energy consumption and environmental sustainability efforts are becoming …