Published on in Vol 24, No 1 (2022): January
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/28036, first published
.

Journals
- Ashtari A, shabani a, Alizadeh B. A comparative study of machine learning classifiers for secure RF-PUF-based authentication in internet of things. Microprocessors and Microsystems 2022;93:104600 View
- Hofer I, Kupina M, Laddaran L, Halperin E. Integration of feature vectors from raw laboratory, medication and procedure names improves the precision and recall of models to predict postoperative mortality and acute kidney injury. Scientific Reports 2022;12(1) View
- Chen C, Chen K, Huang Z, Huang X, Wang Z, He F, Qin M, Long C, Tang B, Mo X, Liu J, Tang W. Identification of intestinal microbiome associated with lymph-vascular invasion in colorectal cancer patients and predictive label construction. Frontiers in Cellular and Infection Microbiology 2023;13 View
- Verdecchia R, Sallou J, Cruz L. A systematic review of Green AI. WIREs Data Mining and Knowledge Discovery 2023;13(4) View
- Liu J, Huang X, Chen C, Wang Z, Huang Z, Qin M, He F, Tang B, Long C, Hu H, Pan S, Wu J, Tang W. Identification of colorectal cancer progression-associated intestinal microbiome and predictive signature construction. Journal of Translational Medicine 2023;21(1) View
- Yokoyama A, Ferro M, de Paula F, Vieira V, Schulze B. Investigating hardware and software aspects in the energy consumption of machine learning: A green AI‐centric analysis. Concurrency and Computation: Practice and Experience 2023;35(24) View
- Wang H, Lin W, Zhou C, Yang Z, Kalpana S, Lebowitz M. Integrating Artificial Intelligence for Advancing Multiple-Cancer Early Detection via Serum Biomarkers: A Narrative Review. Cancers 2024;16(5):862 View
- Raman R, Pattnaik D, Lathabai H, Kumar C, Govindan K, Nedungadi P. Green and sustainable AI research: an integrated thematic and topic modeling analysis. Journal of Big Data 2024;11(1) View
- Kuo Z, Chen K, Tseng Y. MoCab: A framework for the deployment of machine learning models across health information systems. Computer Methods and Programs in Biomedicine 2024;255:108336 View
- Devis L, Closset M, Degosserie J, Lessire S, Modrie P, Gruson D, Favaloro E, Lippi G, Mullier F, Catry E. Revisiting the Environmental Impact of Inappropriate Clinical Laboratory Testing: A Comprehensive Overview of Sustainability, Economic, and Quality of Care Outcomes. The Journal of Applied Laboratory Medicine 2025;10(1):113 View
- Olawumi M, Oladapo B. AI-driven predictive models for sustainability. Journal of Environmental Management 2025;373:123472 View
- Tang L, Li Y, Zhang J, Zhang F, Tang Q, Zhang X, Wang S, Zhang Y, Ma S, Liu R, Chen L, Ma J, Zou X, Yao T, Tang R, Zhou H, Wu L, Yi Y, Zeng Y, Wang D, Zhang L. Machine learning model to predict sepsis in ICU patients with intracerebral hemorrhage. Scientific Reports 2025;15(1) View
- Wang H, Hu R, Lin T, Lin W, Wang Y, Lu J, Tseng Y. Discrepant Treponemal Test Results: Identification of Associated Risk Factors Through Machine Learning Technology in 18-Year Electronic Medical Records and National Claims Data. Biomedical Journal 2025:100890 View
- Ibrahim Alzoubi Y, Topcu A, Elbasi E. A Systematic Review and Evaluation of Sustainable AI Algorithms and Techniques in Healthcare. IEEE Access 2025;13:139547 View
- Chen C, Chen Q, Liu S, Li G, Zhao J, Huang J, Ye T, Yang X, Huang Z, Wang Z, He F, Qin M, Long C, Tang B, Huang Y, Tang W, Liu J, Huang X. Exploring the gut microbiota associated with peripheral nerve invasion in colorectal cancer patients and constructing predictive models. BMC Microbiology 2025;25(1) View
- Ramachandran A, Sarabu C, Gupta U, Ghose S, Lee V. Sustainably Advancing Health AI: A Decision Framework to Mitigate the Energy, Emissions, and Cost of AI Implementation. NEJM Catalyst 2025;6(10) View
Books/Policy Documents
- Mazurek S, Pytlarz M, Malec S, Crimi A. Computational Science – ICCS 2024. View
Conference Proceedings
- Desai T, Shah J, Alavani G, Saha S, Sarkar S. Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing. Adaptive GPU Power Capping: Balancing Energy Efficiency,Thermal Control and Performance View
