AI-Based Hospital Design Process through Neuro-Symbolic Strategies

Document Type : RESEARCH PAPER

Authors

1 Department of Architecture, Faculty of Art and Architecture, Islamic Azad University, Mashhad Branch, Mashhad, Iran

2 Department of Mining, Faculty of Engineering, Islamic Azad University, Shahrud Branch, Shahrud, Iran

10.22038/abjs.2024.83867.3815

Abstract

Objectives: Hospitals represent one of the most complex subjects in architectural design. Over time,
many hospitals undergo changes in their initial spatial layouts to accommodate evolving needs. This 
process often presents various challenges and problems, and the absence of an optimal design process 
for hospitals is a primary contributor to these issues. Artificial intelligence (AI), with its advanced
capabilities, can offer highly accurate and rapid solutions. This research aims to present an integrated 
approach that combines architecture and AI for AI-based hospital design through neuro-symbolic 
strategies.
Methods: This research employs a theoretical-applied framework, and utilizes a descriptive-analytical method to 
investigate the role of artificial intelligence in the design process, particularly within hospitals. The data collection 
methods include a literature review and an examination of texts and studies related to architectural design and AI. 
Furthermore, by analyzing the data through content analysis, integrated neuro-symbolic strategies were introduced 
as a comprehensive approach to AI. The final model of the hospital design process, based on this approach, was
subsequently presented.
Results: Unified and hybrid techniques are two methods for integrating symbolic and sub-symbolic algorithms 
within the integrated neuro-symbolic approach. This innovative methodology leverages the strengths of both 
categories of algorithms while mitigating their respective weaknesses. Among the six methods presented in this 
paper, the hybrid strategy—method number three (neuro-symbolic) — emerges as the most effective means of
achieving an integrated process that merges AI and architecture in hospital design.
Conclusion: In this process, the designer's interventions are minimized, allowing AI to produce the most optimal 
architectural design for a hospital by leveraging its capabilities.
 Level of evidence: V

Keywords

Main Subjects

References

  1. Schreuder E, Van Erp J, Toet A, Kallen VL. Emotional Responses to Multisensory Environmental Stimuli. SAGE Open. 2016; 6(1):1-10. doi:10.1177/2158244016630591.
  2. Halawa F, Madathil SC, Khasawneh MT. Multi-objective unequal area pod-structured healthcare facility layout problem with daylight requirements. Computers & Industrial Engineering. 2021; 162:107722. doi:10.1016/j.cie.2021.107722.
  3. Mardomi K, Hashemnejad H, Hassanpour Rahimabad K, Bagheri M. The Architecture of Way-Finding Wayfinding Process Design in Healthcare Architecture. Journal of Fine Arts: Architecture & Urban Planning. 2011; 3(4): 45-56.
  4. Hegazy M, Saleh A. Evolution of AI role in architectural design: between parametric exploration and machine hallucination. MSA Engineering Journal. 2023; 2(2):262-88. doi:10.2478/alfa-2023-0020.
  5. Tanugraha S. A Review Using Artificial Intelligence-Generating Images: Exploring Material Ideas from MidJourney to Improve Vernacular Designs. Journal of Artificial Intelligence in Architecture. 2023; 2(2):48-57. doi:10.24002/jarina.v2i2.7537.
  6. Rich E, Knight K, eds. Artificial Intelligence. 2st ed.‎ ‎New York: McGraw-Hill College; 1991.
  7. Bentley PJ. From coffee tables to hospitals: generic evolutionary design. Morgan Kaufman Publishers Inc.1999; 18: 405–423.
  8. Yeh IC. Architectural layout optimization using annealed neural network. Automation in construction. 2006; 15(4):531-9. doi: 10.1016/j.autcon.2005.07.002.
  9. Karaman S, Ekici B, Cubukcuoglu C, Koyunbaba BK, Kahraman I. Design of rectangular façade modules through computational intelligence. In2017 IEEE Congress on Evolutionary Computation (CEC) .2017; 1021-1028. doi:10.1109/CEC.2017.7969420.
  10. Hicks C, McGovern T, Prior G, Smith I. Applying lean principles to the design of healthcare facilities. International journal of production economics. 2015; 170:677-86. doi.org/10.1016/j.ijpe.2015.05.029
  11. Benitez GB, Da Silveira GJ, Fogliatto FS. Layout planning in healthcare facilities: a systematic review. HERD: Health Environments Research & Design Journal. 2019; 12(3):31-44. doi: 10.1177/1937586719855336.
  12. Chen X, Qiu L, Ma H, Jin M, Wang M. Computer-aided hospital layout optimization based on patient flow analysis: A case study from China. Journal of Building Engineering. 2024; 88:108899. doi: 10.1016/j.jobe.2024.108899.
  13. Huelat BJ. The Elements of a Caring Environment: Wayfinding. Healthcare Design Magazine. Available at: https://healthcaredesignmagazine.com/architecture/elements-caring-environment/. Accessed August 31, 2004.

  14.Benedetti F, Colombo C, Barbini B, Campori E, Smeraldi E. Morning sunlight reduces length of hospitalization in bipolar depression. J Affect Disord. 2001; 62(3):221-223. doi:10.1016/s0165-0327(00)00149-x.

  1. Dalke H, Littlefair PJ, Loe DL, Camgöz N, eds. lighting and color for hospital design. A Report on an NHS Estates Funded Research Project. London: South Bank University; 2004.
  2. Huisman ER, Morales E, Van Hoof J, Kort HS. Healing environment: A review of the impact of physical environmental factors on users. Building and environment. 2012;58:70-80.doi:10.1016/j.buildenv.2012.06.016.
  3. Diette GB, Lechtzin N, Haponik E, Devrotes A, Rubin HR. Distraction therapy with natural sights and sounds reduces pain during flexible bronchoscopy: A complementary approach to routine analgesia. Chest. 2003; 123(3):941-8. doi: 10.1378/chest.123.3.941.
  4. Mirzaei N, Kamelnia H, Islami SG, Kamyabi S, Assadi SN. Key Points to Design an Orthopedic Specialty Hospital; Implementation of Green Building Standards to Optimize Performance of Orthopedic Units. Arch Bone Jt Surg. 2023; 11(11):725-728. doi: 10.22038/ABJS.2023.73346.3399.
  5. Reiling JG, Knutzen BL, Wallen TK, McCullough S, Miller R, Chernos S. Enhancing the Traditional Hospital Design Process: A Focus on Patient Safety. Jt Comm J Qual Saf. 2004; 30(3):115-24. doi: 10.1016/s1549-3741(04)30013-4.
  6. Lu Y, Bozovic-Stamenovic R. Cultural perspective of wayfinding behavior: Exploring the socio-spatial variable in three Chinese hospital case studies. International Journal of Architectural Research. 2009; 3(2):22-34.doi:10.26687/archnet-ijar.v3i2.269.
  7. Motaghi M, Hamzenejad A, Riyahi L, SOHEILI KM. Optimization of hospital layout through the application of heuristic techniques (Diamond Algorithm) in Shafa hospital (2009). International Journal of Management & Bussiness Research. 2011; 1(3):133-138. https://api.semanticscholar.org/CorpusID:62705466
  8. Frandsen AK. Environmental qualities and patient well-being in hospital settings. Tidsskrift for forskning i Sygdom og Samfund. 2013; 10(18).doi:10.7146/tfss.v10i18.8106.
  9. Gómez‐Acebo I, Llorca J, Ortiz‐Revuelta C, Angulo B, Gómez‐Álvarez S, Dierssen‐Sotos T. Sick building syndrome in a general hospital and the risks for pregnant workers. Int J Gynaecol Obstet. 2011; 113(3):241-2. doi:10.1016/j.ijgo.2011.01.008.
  10. Ulrich RS, Zimring C, Zhu X, et al. A Review of the Research Literature on Evidence-Based Healthcare Design. HERD.2008; 1(3):61-125. doi:10.1177/193758670800100306.
  11. Mihandoust S, Joseph A, Kennedy S, MacNaughton P, Woo M. Exploring the relationship between window view quantity, quality, and ratings of care in the hospital. Int J Environ Res Public Health. 2021; 18(20):10677. doi: 10.3390/IJERPH182010677.
  12. Caspari S, Eriksson K, Nåden D. The aesthetic dimension in hospitals—an investigation into strategic plans. Int J Nurs Stud. 2006; 43(7):851-9. doi: 10.1016/j.ijnurstu.2006.04.011.
  13. Ghamari H, Amor C. The role of color in healthcare environments, emergent bodies of evidence-based design approach. Sociol Anthropol. 2016; 4(11):1020-1029. doi:10.13189/sa.2016.041109.
  14. Abbas MY, Ghazali R. Physical Environment: The major determinant towards the creation of a healing environment? Procedia-Social and Behavioral Sciences. 2011; 30:1951-8. doi: 10.1016/j.sbspro.2011.10.379.
  15. Ramadan M. Towards Healing Environment for the Inpatient Unit in Psychiatric Hospital. The Center for Health Design. 2016.
  16. Sternberg EM, eds. healing spaces: The science of place and well-being. 1st ed. The Belknap Press of University press. Cambridge, Massachusetts, London, England; 2009.
  17. Beukeboom CJ, Langeveld D, Tanja-Dijkstra K. Stress-reducing effects of real and artificial nature in a hospital waiting room. J Altern Complement Med. 2012; 18(4):329-33. doi:10.1089/acm.2011.0488.
  18. Andrade CC, Devlin AS, Pereira CR, Lima ML. Do the hospital rooms make a difference for patients’ stress? A multilevel analysis of the role of perceived control, positive distraction, and social support. Journal of environmental psychology. 2017;53:63-72.doi:10.1016/j.jenvp.2017.06.008.
  19. Pechacek CS, Andersen M, Lockley SW. Combining annual daylight simulation with photobiology data to assess the relative circadian efficacy of interior spaces. InProceedings of eSim 2008-5th National Conference of IBPSA-Canada 2008.
  20. Khodakarami J, Nasrollahi N. Thermal comfort in hospitals–A literature review. Renewable and Sustainable Energy Reviews. 2012; 16(6):4071-7.doi:10.1016/j.rser.2012.03.054.
  21. Gardner G, Collins C, Osborne S, Henderson A, Eastwood M. Creating a therapeutic environment: a non-randomised controlled trial of a quiet time intervention for patients in acute care. Int J Nurs Stud. 2009; 46(6):778-86.doi:10.1016/j.ijnurstu.2008.12.009.
  22. Phipps MA, Carroll DL, Tsiantoulas A. Music as a therapeutic intervention on an inpatient neuroscience unit. Complement Ther Clin Pract. 2010; 16(3):138-42. doi:10.1016/j.ctcp.2009.12.001.
  23. Zhao Y, Mourshed M. Design indicators for better accommodation environments in hospitals: inpatients’ perceptions. Intelligent Buildings International. 2012; 4(4):199-215.doi:10.1080/17508975.2012.701186.
  24. Pena ML, Carballal A, Rodríguez-Fernández N, Santos I, Romero J. Artificial intelligence applied to conceptual design. A review of its use in architecture. Automation in Construction. 2021; 124:103550. doi:10.1016/j.autcon.2021.103550.
  25. Agirbas A. Façade form-finding with swarm intelligence. Automation in Construction. 2019 1;99:140-51.doi:10.1016/j.autcon.2018.12.003.
  26. Rodrigues E. Automated Floor Plan Design: Generation, Simulation, and Optimization. Universidade de Coimbra (Portugal) ProQuest Dissertations & Theses, 2014. 29195067.
  27. Karaman S, Ekici B, Cubukcuoglu C, Koyunbaba BK, Kahraman I. Design of rectangular façade modules through computational intelligence. In2017 IEEE Congress on Evolutionary Computation (CEC) 2017 (pp. 1021-1028). IEEE.doi:10.1109/cec.2017.7969420.
  28. Nisztuk M, Myszkowski P. Tool for evolutionary aided architectural design. Hybrid Evolutionary Algorithm applied to Multi-Objective Automated Floor Plan Generation. InConference: Ecaade Sigradi 2019 at: Porto, Portugal 2019 (Vol. 1). doi:10.5151/proceedings-ecaadesigradi2019_453.
  29. Ślusarczyk G, Strug B, Paszyńska A, Grabska E, Palacz W. Semantic-driven graph transformations in floor plan design. Computer-Aided Design. 2023; 158:103480. doi:10.1016/j.cad.2023.103480.
  30. Chaillou S,eds. Artificial Intelligence and Architecture: From Research to Practice.1st ed. USA: Harvard University; 2022.
  31. Zheng H, Keyao AN, Jingxuan WE, Yue RE. Apartment floor plans generation via generative adversarial networks. In25th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA 2020): RE: Anthropocene, Design in the Age of Humans 2020 (pp. 601-610). The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA). doi:10.52842/conf.caadria.2020.2.599.
  32. Herr CM, Ford RC. Cellular automata in architectural design: From generic systems to specific design tools. Automation in Construction. 2016; 72: 39-45. doi:10.1016/j.autcon.2016.07.005.
  33. Coates P, Healy N, Lamb C, Voon WL. The use of Cellular Automata to explore bottom up architectonic rules. UK: Eurographics UK Chapter 14th Annual Conference.1996; 26-28.
  34. Clarke C, Anzalone P. Architectural applications of complex adaptive systems. InACADIA 2003 (Vol. 22, pp. 324-335). doi:10.52842/conf.acadia.2003.325.
  35. Yeh IC. Architectural layout optimization using annealed neural network. Automation in construction. 2006; 15(4):531-9. doi:10.1016/j.autcon.2005.07.002.
  36. Cheng MY, Lien LC. Hybrid artificial intelligence–based PBA for benchmark functions and facility layout design optimization. Journal of Computing in Civil Engineering. 2012; 6(5):612-24. doi:10.1061/(asce)cp.1943-5487.0000163.
  37. Boden MA,eds. The Philosophy of Artificial Intelligence.1st ed. UK: Oxford University; 1990.
  38. Lallement Y, Hilario M, Alexandre F. Neurosymbolic Integration: Cognitive Grounds and Computational Strategies. InWOCFAI 1995 (pp. 193-203).
  39. Hilario M.An Overview of Strategies for Neurosymbolic Integration.In: Connectionist-Symbolic Integration. 1st ed. 1995.
  40. Bermúdez JL,eds. Cognitive science: An introduction to the science of the mind.2st ed. Cambridge University Press; 2014.
  41. Dreyfus H. The Limits of Artificial Intelligence.In:What Computers Can’t Do.1st ed. Dreyfus HL,eds. Harper Collins; 1979.
  42. Ilkou E, Koutraki M. Symbolic vs sub-symbolic ai methods: Friends or enemies? InCIKM (Workshops) 2020 (Vol. 2699).
  43. Saker MK, Zhou L, Eberhart A, Hitzler P. Neuro-symbolic artificial intelligence. Ai communications.2021; 34(3):197-209. doi:10.3233/aic-210084.
  44. Kautz H. The third ai summer: Aaai robert s. engelmore memorial lecture. Ai magazine. 2022; 43(1):105-25. doi:10.1002/aaai.12036.
  45. Hassan M, Guan H, Melliou A, et al. Neuro-symbolic learning: Principles and applications in ophthalmology. arXiv preprint arXiv:2208.00374. 2022.
  46. Hamilton K, Nayak A, Božić B, Longo L. Is neuro-symbolic AI meeting its promises in natural language processing? A structured review. Semantic Web. 2024; 15(4):1265-306. doi:10.3233/SW-223228.
  47. Garcez AD, Gori M, Lamb LC, Serafini L, Spranger M, Tran SN. Neural-symbolic computing: An effective methodology for principled integration of machine learning and reasoning. arXiv preprint arXiv:1905.06088. 2019.
  48. Manna C. On-line dynamic station redeployments in bike-sharing systems. InAI* IA 2016 Advances in Artificial Intelligence: XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy, November 29–December 1, 2016, Proceedings XV 2016 (pp. 13-25). Springer International Publishing. doi:10.1007/978-3-319-49130-1_2.
  49. Wang P, Goertzel B,eds. Theoretical Foundations of Artificial General Intelligence. 1st ed. Atlantis Press Paris.2012.
  50. McKnight M. Generative Design: What it is? How is it being used? Why it’s a game changer. KnE Engineering. 2017:176-81. doi:10.18502/keg.v2i2.612.
  51. Buonamici F, Carfagni M, Furferi R, Volpe Y, Governi L.

 

       Generative design: an explorative study. Computer-Aided Design and Applications. 2020; 18(1):144-55. doi:10.14733/cadconfP.2020.6-10.

  1. Villaggi L, Stoddart J, Nagy D, Benjamin D. Survey-based simulation of user satisfaction for generative design in architecture. InHumanizing Digital Reality: Design Modelling Symposium Paris 2017 2018 (pp. 417-430). Springer Singapore.
  2. Nagy D, Lau D, Locke J, et al. Project discover: An application of generative design for architectural space planning. In Proceedings of the Symposium on Simulation for Architecture and Urban Design 2017 (pp. 1-8).
  3. Weber RE, Mueller C, Reinhart C. Automated floorplan generation in architectural design: A review of methods and applications. Automation in Construction. 2022; 140:104385. doi:10.1016/j.autcon.2022.104385.
  4. Renkhoff J, Feng K, Meier-Doernberg M, Velasquez A, Song HH. A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence. IEEE Transactions on Artificial Intelligence. 2024.doi: 10.1109/tai.2024.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The Archives of Bone and Joint Surgery
Volume 13, Issue 7
July 2025
Pages 442-456

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History

  • Receive Date: 12 November 2024
  • Revise Date: 31 December 2024
  • Accept Date: 11 December 2024

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