Planetary health and radiology: why we should care and what we can do

H McKee, MJ Brown, HHR Kim, FX Doo, H Panet… - Radiology, 2024 - pubs.rsna.org
Climate change adversely affects the well-being of humans and the entire planet. A
planetary health framework recognizes that sustaining a healthy planet is essential to …

Canadian Association of Radiologists statement on environmental sustainability in medical imaging

K Hanneman, A Szava-Kovats… - Canadian …, 2024 - journals.sagepub.com
Immediate and strategic action is needed to improve environmental sustainability and
reduce the detrimental effects of climate change. Climate change is already adversely …

Evaluation of climate-aware metrics tools for radiology informatics and artificial intelligence: toward a potential radiology ecolabel

FX Doo, VS Parekh, A Kanhere, D Savani… - Journal of the American …, 2024 - Elsevier
Radiology is a major contributor to health care's impact on climate change, in part due to its
reliance on energy-intensive equipment as well as its growing technological reliance …

Reimagining Radiology: A Comprehensive Overview of Reviews at the Intersection of Mobile and Domiciliary Radiology over the Last Five Years

G Lepri, F Oddi, RA Gulino, D Giansanti - Bioengineering, 2024 - mdpi.com
(Background) Domiciliary radiology, which originated in pioneering studies in 1958, has
transformed healthcare, particularly during the COVID-19 pandemic, through advancements …

Generative AI and large language models in nuclear medicine: current status and future prospects

K Hirata, Y Matsui, A Yamada, T Fujioka… - Annals of nuclear …, 2024 - Springer
This review explores the potential applications of Large Language Models (LLMs) in nuclear
medicine, especially nuclear medicine examinations such as PET and SPECT, reviewing …

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 …

Large Language Models in Psychiatry: Current Applications, Limitations, and Future Scope

Z Liu, Y Bao, S Zeng, R Qian, M Deng… - Big Data Mining and …, 2024 - ieeexplore.ieee.org
With the advancements in Artificial Intelligence (AI) technology, Large Language Models
(LLMs) provide outstanding capabilities for natural language understanding and generation …

Establishing a Validation Infrastructure for Imaging-Based AI Algorithms Prior to Clinical Implementation

OA Ramwala, KP Lowry, NM Cross, W Hsu… - Journal of the American …, 2024 - Elsevier
Abstract With promising Artificial Intelligence (AI) algorithms receiving FDA (Food and Drug
Administration) clearance, the potential impact of these models on clinical outcomes must be …

Tuberculosis detection bars on VGG19 transfer learning and Zebra Optimization Algorithm

T Le, F Shi, M Ge, R Dong… - EAI Endorsed Transactions …, 2024 - publications.eai.eu
Tuberculosis (TB) remains a significant global health challenge, necessitating accurate and
efficient diagnostic tools. This study introduces a novel approach combining VGG19, a deep …

Changing the workflow–Artificial intelligence in radiologic sciences

A Jackson, B Hirsch - Journal of Medical Imaging and Radiation Sciences, 2024 - Elsevier
Artificial intelligence (AI) is continuing to become more commonplace in today's society. AI is
present in so many forms, from ChatGPT to smart refrigerators, AI is used in the world all …