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Comprehensive approach to clinical decision-making strategy, illustrated by the Gulf War

  • Ante Vučemilović EMAIL logo and Mirela Volf
Published/Copyright: October 11, 2024
Reviews on Environmental Health
From the journal Reviews on Environmental Health Volume 40 Issue 2

Abstract

Throughout the history of medicine, clinical decision-making strategies have largely been dependent on the implementation of novel technologies. Artificial intelligence (AI) has not only made a leap into a new dimension of medical measures & decisions’ shaping but has also served as a strategic backup of medical practice. Due to its nature, and military technologies in use, the Gulf War (1990–1991) is considered to be the verge of the contemporary warfare era. Soldiers had been engaged into a highly complex military operation theatre contaminated with both chemical and radiological noxious agents, and burdened with side-effects of prophylactic measurements. The aim of this review is to present a comprehensive approach to clinical decision-making strategy using the Gulf War veterans’ syndrome as an example. The model is based on the processing of all data coming from the military operation theatre and their unification with medical data, so as to obtain the final product, i.e., the decision needed for a personalised therapeutic approach. Due to the complexity and a huge amount of data gathered at a given location in a given time, the functioning of this model unanimously calls for the interlace between military system AI and that of the medical sector.

Keywords: clinical decision-making strategies; artificial intelligence (AI); noxious impacts; vaccines; medical antidotes; the Gulf War syndrome
Corresponding author: Ante Vučemilović, Croatian Military Academy “Dr Franjo Tuđman”, Ilica 256b, 10000, Zagreb, Croatia, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2024-05-07
Accepted: 2024-09-26
Published Online: 2024-10-11
Published in Print: 2025-06-26

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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https://doi.org/10.1515/reveh-2024-0070
Keywords for this article
clinical decision-making strategies; artificial intelligence (AI); noxious impacts; vaccines; medical antidotes; the Gulf War syndrome

Articles in the same Issue

  1. Frontmatter
  2. Reviews
  3. Analytical methods, source, concentration, and human risks of microplastics: a review
  4. Solid fuel use and low birth weight: a systematic review and meta-analysis
  5. The human health effects of unconventional oil and gas (UOG) chemical exposures: a scoping review of the toxicological literature
  6. WHO to build neglect of RF-EMF exposure hazards on flawed EHC reviews? Case study demonstrates how “no hazards” conclusion is drawn from data showing hazards
  7. The role of environmental pollution in the development of pulmonary exacerbations in cystic fibrosis: a narrative review
  8. Semi-IPN polysaccharide-based hydrogels for effective removal of heavy metal ions and dyes from wastewater: a comprehensive investigation of performance and adsorption mechanism
  9. A structured review of the associations between breast cancer and exposures to selected organic solvents
  10. A review of the potential adverse health impacts of atrazine in humans
  11. Comprehensive approach to clinical decision-making strategy, illustrated by the Gulf War
  12. A systematic review and quality assessment of estimated daily intake of microplastics through food
  13. Adapting to heat-health vulnerability in temperate climates: current adaptation and mitigation responses and future predictions in Aotearoa New Zealand
  14. Evaluation of the impact of environmental pollutants on the sex ratio: a systematic review
  15. A critical review on the toxicological and epidemiological evidence integration for assessing human health risks to environmental chemical exposures
  16. The association between screen exposure and autism spectrum disorder in children: meta-analysis
  17. The association between maternal perfluoroalkylated substances exposure and neonatal birth weight: a system review and meta-analysis
  18. School built environment and children’s health: a scientometric analysis
  19. Letter to the Editors
  20. Underground power lines as a confounding factor in observational studies concerning magnetic fields and childhood leukemia
  21. A critical appraisal of the WHO 2024 systematic review of the effects of RF-EMF exposure on tinnitus, migraine/headache, and non-specific symptoms
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