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Healthcare is a large contributor to greenhouse gas (GHG) emissions around the world, given current power generation mix. Telemedicine, with its reduced travel for providers and patients, has been proposed to reduce emissions. Artificial intelligence (AI), and especially autonomous AI, where the medical decision is made without human oversight, has the potential to further reduce healthcare GHG emissions, but concerns have also been expressed about GHG emissions from digital technology, and AI training and inference. In a real-world example, we compared the marginal GHG contribution of an encounter performed by an autonomous AI to that of an in-person specialist encounter. Results show that an 80% reduction may be achievable, and we conclude that autonomous AI has the potential to reduce healthcare GHG emissions.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098499 | PMC |
http://dx.doi.org/10.1038/s41746-022-00605-w | DOI Listing |
Waste Manag
September 2025
Shanghai Engineering Research Center of Solid Waste Treatment and Resource Recovery, School of Environmental Science & Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address:
As one of the major sources of greenhouse gas (GHG) emissions, the municipal solid waste (MSW) management system was regarded as a key contributor to the construction of a low-carbon society. Understanding the evolution of waste treatment facilities and the corresponding GHG emissions was essential for assessing the low-carbon competitiveness of local communities. In this study, facility-level data were used to estimate GHG emissions from the waste management system in the Yangtze River Delta (YRD) and analyze their temporal and spatial variations.
View Article and Find Full Text PDFEnviron Sci Technol
September 2025
The Grainger College of Engineering, Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States.
Wastewater solids management is a key contributor to the operational cost and greenhouse gas (GHG) emissions of water resource recovery facilities (WRRFs). This study proposes a 'waste-to-energy' strategy using a hydrothermal liquefaction (HTL)-based system to displace conventional energy- and emission-intensive practices. The proposed system directs HTL-produced biocrude to oil refineries and recovers regionally tailored nitrogen and phosphorus fertilizers.
View Article and Find Full Text PDFJDS Commun
September 2025
Brazilian Agricultural Research Corporation, Juiz de Fora, Minas Gerais, Brazil, 36038-330.
This technical note describes a small ruminant respiration chamber system designed to accurately quantify the production of carbon dioxide (CO) and methane (CH). The system consists of 3 open-circuit respiration chambers, flow meters, gas analyzers, and an accessible environmental control system. To validate its performance, gas recovery tests were conducted by injecting CO and CH at 4 constant flow rates: 0.
View Article and Find Full Text PDFFront Vet Sci
August 2025
Department of Animal Science, West River Research and Extension Center, South Dakota State University, Rapid City, SD, United States.
Dry matter intake (DMI) of grazing animals varies depending on environmental factors and the physiological stage of production. The amount of CH eructated (a greenhouse gas, GHG) by ruminants is correlated with DMI and is affected by feedstuff type, being generally greater for forage diets compared to concentrates. Currently, there are limited data on the relationship between DMI and GHG in extensive rangeland systems, as it is challenging to obtain.
View Article and Find Full Text PDFFront Plant Sci
August 2025
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs of China, Beijing, China.
Simultaneously enhancing the crop yield and reducing nitrous oxide (NO) emissions presents a critical challenge in sustainable agriculture. The application of nitrogen (N) fertilizer is a key strategy to enhance crop yield. However, conventional N application practices often lead to excessive soil N accumulation, insufficient crop N uptake and elevated greenhouse gas (GHG) emissions.
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