Cognitive Artificial Intelligence for Health and Climate: Deep Models, Interpretability, and Decision Support

##plugins.pubIds.doi.readerDisplayName## https://doi.org/10.70593/978-93-7185-745-1

Authors

Samit Shivadekar
University of Maryland Baltimore County and Research Associate at Center for Accelerated Real Time Analytics (CARTA) UMBC, United States
https://orcid.org/0000-0001-6445-5141

Keywords:

Artificial intelligence, Machine learning, Internet of Things (IoT), Medical diagnosis, Decision support systems, Healthcare, Climate Change

Synopsis

The intersection of health, climate, and artificial intelligence represents both a challenge and an opportunity. This book explores how Cognitive AI — combining deep learning, reasoning, and interpretability — can address pressing issues in healthcare and climate science while supporting trustworthy, informed decision-making.

Focusing on deep models, explainable AI, and decision-support frameworks, we examine methods that go beyond automation to enable human–AI collaboration in complex, high-stakes environments. Through research insights and real-world case studies, the book bridges theory and practice for researchers, practitioners, and decision-makers seeking resilient and transparent AI solutions.

It is my hope that this work inspires the development of AI systems that are as trustworthy as they are innovative, serving society’s urgent needs with clarity, fairness, and resilience.

In writing this book, I have drawn on my own experiences in research, teaching, and collaboration across disciplines, as well as the invaluable contributions of the AI, health, and climate research communities. I am grateful to colleagues, students, and partners whose insights have shaped the ideas presented here. May this work inspire continued exploration into AI systems that serve humanity’s most urgent needs — and do so with clarity, fairness, and resilience.

References

Schwalbe N, Wahl B. Artificial intelligence and the future of global health. The Lancet. 2020 May 16;395(10236):1579-86.

Noorbakhsh-Sabet N, Zand R, Zhang Y, Abedi V. Artificial intelligence transforms the future of health care. The American journal of medicine. 2019 Jul 1;132(7):795-801.

Yang Y, Siau K, Xie W, Sun Y. Smart health: Intelligent healthcare systems in the metaverse, artificial intelligence, and data science era. Journal of Organizational and End User Computing (JOEUC). 2022 Jan 1;34(1):1-4.

Panch T, Szolovits P, Atun R. Artificial intelligence, machine learning and health systems. Journal of global health. 2018 Oct 21;8(2):020303.

Panda SP. The Evolution and Defense Against Social Engineering and Phishing Attacks. International Journal of Science and Research (IJSR). 2025 Jan 1.

Panch T, Pearson-Stuttard J, Greaves F, Atun R. Artificial intelligence: opportunities and risks for public health. The Lancet Digital Health. 2019 May 1;1(1):e13-4.

Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, Wang Y, Dong Q, Shen H, Wang Y. Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology. 2017 Dec 1;2(4).

Guo Y, Hao Z, Zhao S, Gong J, Yang F. Artificial intelligence in health care: bibliometric analysis. Journal of medical Internet research. 2020 Jul 29;22(7):e18228.

Park CW, Seo SW, Kang N, Ko B, Choi BW, Park CM, Chang DK, Kim H, Kim H, Lee H, Jang J. Artificial intelligence in health care: current applications and issues. Journal of Korean medical science. 2020 Nov 2;35(42).

Habli I, Lawton T, Porter Z. Artificial intelligence in health care: accountability and safety. Bulletin of the World Health Organization. 2020 Feb 25;98(4):251.

Bohr A, Memarzadeh K, editors. Artificial intelligence in healthcare. Academic Press; 2020 Jun 21.

Matheny ME, Whicher D, Israni ST. Artificial intelligence in health care: a report from the National Academy of Medicine. Jama. 2020 Feb 11;323(6):509-10.

Shaban-Nejad A, Michalowski M, Buckeridge DL. Health intelligence: how artificial intelligence transforms population and personalized health. NPJ digital medicine. 2018 Oct 2;1(1):53.

Malik P, Pathania M, Rathaur VK. Overview of artificial intelligence in medicine. Journal of family medicine and primary care. 2019 Jul 1;8(7):2328-31.

Murphy K, Di Ruggiero E, Upshur R, Willison DJ, Malhotra N, Cai JC, Malhotra N, Lui V, Gibson J. Artificial intelligence for good health: a scoping review of the ethics literature. BMC medical ethics. 2021 Feb 15;22(1):14.

Emanuel EJ, Wachter RM. Artificial intelligence in health care: will the value match the hype?. Jama. 2019 Jun 18;321(23):2281-2.

Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future healthcare journal. 2019 Jun 1;6(2):94-8.

Amann J, Blasimme A, Vayena E, Frey D, Madai VI, Precise4Q Consortium. Explainability for artificial intelligence in healthcare: a multidisciplinary perspective. BMC medical informatics and decision making. 2020 Nov 30;20(1):310.

Hosny A, Aerts HJ. Artificial intelligence for global health. Science. 2019 Nov 22;366(6468):955-6.

Ho A. Are we ready for artificial intelligence health monitoring in elder care?. BMC geriatrics. 2020 Sep 21;20(1):358.

Aung YY, Wong DC, Ting DS. The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare. British medical bulletin. 2021 Sep;139(1):4-15.

Lau AY, Staccini P. Artificial intelligence in health: new opportunities, challenges, and practical implications. Yearbook of medical informatics. 2019 Aug;28(01):174-8.

Olawade DB, Wada OZ, Odetayo A, David-Olawade AC, Asaolu F, Eberhardt J. Enhancing mental health with Artificial Intelligence: Current trends and future prospects. Journal of medicine, surgery, and public health. 2024 Aug 1;3:100099.

Arora A, Alderman JE, Palmer J, Ganapathi S, Laws E, Mccradden MD, Oakden-Rayner L, Pfohl SR, Ghassemi M, Mckay F, Treanor D. The value of standards for health datasets in artificial intelligence-based applications. Nature medicine. 2023 Nov;29(11):2929-38.

Chen M, Decary M. Artificial intelligence in healthcare: An essential guide for health leaders. InHealthcare management forum 2020 Jan (Vol. 33, No. 1, pp. 10-18). Sage CA: Los Angeles, CA: Sage Publications.

Alowais SA, Alghamdi SS, Alsuhebany N, Alqahtani T, Alshaya AI, Almohareb SN, Aldairem A, Alrashed M, Bin Saleh K, Badreldin HA, Al Yami MS. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC medical education. 2023 Sep 22;23(1):689.

Downloads

Full Text Book

Published

4 August 2025
Copyright (c) 2025 Samit Shivadekar

Details about the available publication format: E-Book

E-Book

ISBN-13 (15)

978-93-7185-745-1

Details about the available publication format: Book (Paperback)

Book (Paperback)

ISBN-13 (15)

978-93-7185-581-5

How to Cite

Shivadekar , S. . (2025). Cognitive Artificial Intelligence for Health and Climate: Deep Models, Interpretability, and Decision Support. Deep Science Publishing. https://doi.org/10.70593/978-93-7185-745-1
Download Citation