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Medicine Group Review Article 記事ID: igmin272

AI-Driven Smart Auditory Health Systems: Bridging Audiology and Public Health in Low- and Middle-Income Countries

Public Health DOI10.61927/igmin272
MD Nahid Hassan Nishan * 2 ,
Anika Ferdous 1 and
Farhana Jahan 2
Affiliation

Affiliation

    1Department of Audiology and Speech-Language Pathology, Bangladesh University of Professionals, Dhaka-1216, Bangladesh

    2Department of Public Health, North South University, Dhaka-1229, Bangladesh

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要約

Hearing loss is a critical global health issue that affects over 1.5 billion people worldwide, with a disproportionate burden in Low- and Middle-Income Countries (LMICs). These regions face significant challenges, including limited access to audiological services, a shortage of healthcare professionals, and a lack of affordable hearing solutions. These barriers lead to delayed diagnoses, inadequate management, and a significant negative impact on individuals' quality of life, education, and employment opportunities. The advent of Artificial Intelligence (AI) and advanced technologies offers innovative pathways to address these longstanding challenges. This review introduces the AI-driven smart Auditory Health Systems (SAHS) concept. This holistic approach integrates AI, wearable devices, Internet of Things (IoT) technology, and big data analytics to enhance the prevention, diagnosis, and management of auditory disorders. SAHS systems can provide real-time monitoring, early detection of hearing loss, and personalized care solutions tailored to individual and population needs. These systems offer community-level interventions, including noise pollution monitoring and data-driven public health strategies. Focusing on the LMIC context, this review explores the technological framework, applications, ethical considerations, and logistical challenges of implementing SAHS. By leveraging these advanced technologies, SAHS has the potential to bridge gaps in healthcare access, improve health outcomes, and transform auditory healthcare delivery in resource-constrained settings. This review underscores the importance of collaborative efforts in research, policy development, and capacity building to ensure equitable adoption of SAHS, thereby addressing hearing health disparities globally.

参考文献

    1. Schuh M, Bush ML. Defining disparities in cochlear implantation through the social determinants of health. Semin Hear [Internet]. 2021 Nov [cited 2024 Dec 4];42(04):321-30. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0041-1739282
    2. Chadha S, Kamenov K, Cieza A. The world report on hearing, 2021. Bull World Health Organ [Internet]. 2021 Apr 1 [cited 2024 Dec 4];99(4):242-242A. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085630/pdf/BLT.21.285643.pdf/
    3. Adeyemo A, Ogunkeyede S, Dania O. Hearing healthcare gaps in LMICS: snapshot from a semi-urban community in Nigeria. Afr Health Sci. 2021 Jun;21(2):912-918. doi: 10.4314/ahs.v21i2.53. PMID: 34795751; PMCID: PMC8568223.
    4. Joubert K. Community-based audiology services: An effective strategy for the prevention of hearing loss in rural communities. In: Khoza-Shangase K, editor. Preventive Audiology: An African perspective [Internet]. Cape Town: AOSIS; 2022. Chapter 4. PMID: 38446933.
    5. Sharkiya SH. Quality communication can improve patient-centred health outcomes among older patients: a rapid review. BMC Health Serv Res [Internet]. 2023 Aug 22 [cited 2024 Dec 4];23(1):886. Available from: https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-023-09869-8
    6. Pratt SR. Profound Hearing Loss: Addressing Barriers to Hearing Healthcare. Semin Hear. 2018 Nov;39(4):428-436. doi: 10.1055/s-0038-1670708. Epub 2018 Oct 26. PMID: 30374213; PMCID: PMC6203460.
    7. Reavis KM, Tremblay KL, Saunders G. How Can Public Health Approaches and Perspectives Advance Hearing Health Care? Ear Hear. 2016 Jul-Aug;37(4):376-80. doi: 10.1097/AUD.0000000000000321. PMID: 27232072; PMCID: PMC5024732.
    8. Wubineh BZ, Deriba FG, Woldeyohannis MM. Exploring the opportunities and challenges of implementing artificial intelligence in healthcare: A systematic literature review. Urol Oncol. 2024 Mar;42(3):48-56. doi: 10.1016/j.urolonc.2023.11.019. Epub 2023 Dec 14. PMID: 38101991.
    9. Alowais SA, Alghamdi SS, Alsuhebany N, Alqahtani T, Alshaya AI, Almohareb SN, Aldairem A, Alrashed M, Bin Saleh K, Badreldin HA, Al Yami MS, Al Harbi S, Albekairy AM. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ. 2023 Sep 22;23(1):689. doi: 10.1186/s12909-023-04698-z. PMID: 37740191; PMCID: PMC10517477.
    10. AlSamhori JF, AlSamhori ARF, Amourah RM, AlQadi Y, Koro ZW, Haddad TRA, et al. Artificial intelligence for hearing loss prevention, diagnosis, and management. J Med Surg Public Health [Internet]. 2024 Aug [cited 2024 Nov 26];3:100133. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2949916X24000860
    11. Wang WH, Hsu WS. Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments. Sensors (Basel). 2023 Jun 26;23(13):5913. doi: 10.3390/s23135913. PMID: 37447763; PMCID: PMC10346723.
    12. Shajari S, Kuruvinashetti K, Komeili A, Sundararaj U. The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review. Sensors (Basel). 2023 Nov 29;23(23):9498. doi: 10.3390/s23239498. PMID: 38067871; PMCID: PMC10708748.
    13. Swanepoel W. eHealth Technologies Enable more Accessible Hearing Care. Semin Hear. 2020 May;41(2):133-140. doi: 10.1055/s-0040-1708510. Epub 2020 Apr 7. PMID: 32269417; PMCID: PMC7138638.
    14. Olawade DB, Wada OZ, Odetayo A, David-Olawade AC, Asaolu F, Eberhardt J. Enhancing mental health with artificial intelligence: Current trends and future prospects. J Med Surg Public Health [Internet]. 2024 Aug [cited 2024 Aug 10];3:100099. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2949916X24000525
    15. Zhao Y, Li J, Zhang M, Lu Y, Xie H, Tian Y, Qiu W. Machine Learning Models for the Hearing Impairment Prediction in Workers Exposed to Complex Industrial Noise: A Pilot Study. Ear Hear. 2019 May/Jun;40(3):690-699. doi: 10.1097/AUD.0000000000000649. PMID: 30142102; PMCID: PMC6493679.
    16. Wang Y, Yao X, Wang D, Ye C, Xu L. A machine learning screening model for identifying the risk of high-frequency hearing impairment in a general population. BMC Public Health. 2024 Apr 25;24(1):1160. doi: 10.1186/s12889-024-18636-1. PMID: 38664666; PMCID: PMC11044481.
    17. Jafleh EA, Alnaqbi FA, Almaeeni HA, Faqeeh S, Alzaabi MA, Al Zaman K. The Role of Wearable Devices in Chronic Disease Monitoring and Patient Care: A Comprehensive Review. Cureus. 2024 Sep 8;16(9):e68921. doi: 10.7759/cureus.68921. PMID: 39381470; PMCID: PMC11461032.
    18. Pigini L, Bovi G, Panzarino C, Gower V, Ferratini M, Andreoni G, Sassi R, Rivolta MW, Ferrarin M. Pilot Test of a New Personal Health System Integrating Environmental and Wearable Sensors for Telemonitoring and Care of Elderly People at Home (SMARTA Project). Gerontology. 2017;63(3):281-286. doi: 10.1159/000455168. Epub 2017 Jan 19. PMID: 28099965.
    19. Baig MM, Afifi S, GholamHosseini H, Mirza F. A Systematic Review of Wearable Sensors and IoT-Based Monitoring Applications for Older Adults - a Focus on Ageing Population and Independent Living. J Med Syst. 2019 Jun 15;43(8):233. doi: 10.1007/s10916-019-1365-7. PMID: 31203472.
    20. Pan H, Lin Z, Fu P, Qi Y, Wang W. Modeling intra and inter-modality incongruity for multi-modal sarcasm detection. In: Findings of the Association for Computational Linguistics: EMNLP 2020 [Internet]. Online: Association for Computational Linguistics; 2020 [cited 2024 Dec 4]. p. 1383-92. Available from: https://www.aclweb.org/anthology/2020.findings-emnlp.124
    21. Salamone F, Masullo M, Sibilio S. Wearable Devices for Environmental Monitoring in the Built Environment: A Systematic Review. Sensors (Basel). 2021 Jul 10;21(14):4727. doi: 10.3390/s21144727. PMID: 34300467; PMCID: PMC8309593.
    22. Hearing Aid UK [Internet]. [cited 2024 Nov 26]. Can AI help your hearing? Available from: https://www.hearingaid.org.uk/hearing-aid-technology/how-artificial-intelligence-can-help-your-hearing
    23. Saldana-Barrios JJ, Aguilar E, Ng W, Orocu R. Designing an IoT-Based System for Monitoring Noise Levels in the Computer Science Faculty and Library of the Technological University of Panama. Sensors (Basel). 2023 Nov 10;23(22):9083. doi: 10.3390/s23229083. PMID: 38005471; PMCID: PMC10675386.
    24. Casillo M, Cecere L, Colace F, Lorusso A, Santaniello D. Integrating the Internet of Things (IoT) in SPA medicine: Innovations and challenges in digital wellness. Computers [Internet]. 2024 Mar 6 [cited 2024 Nov 26];13(3):67. Available from: https://www.mdpi.com/2073-431X/13/3/67
    25. Ramadan MNA, Ali MAH, Khoo SY, Alkhedher M, Alherbawi M. Real-time IoT-powered AI system for monitoring and forecasting of air pollution in industrial environment. Ecotoxicol Environ Saf. 2024 Sep 15;283:116856. doi: 10.1016/j.ecoenv.2024.116856. Epub 2024 Aug 15. PMID: 39151373.
    26. Wasmann JA, Lanting CP, Huinck WJ, Mylanus EAM, van der Laak JWM, Govaerts PJ, Swanepoel W, Moore DR, Barbour DL. Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age. Ear Hear. 2021 Nov-Dec 01;42(6):1499-1507. doi: 10.1097/AUD.0000000000001041. PMID: 33675587; PMCID: PMC8417156.
    27. Ganek HV, Madubueze A, Merritt CE, Bhutta ZA. Prevalence of hearing loss in children living in low- and middle-income countries over the last 10 years: A systematic review. Dev Med Child Neurol. 2023 May;65(5):600-610. doi: 10.1111/dmcn.15460. Epub 2022 Nov 17. PMID: 36397253.
    28. Moroe NF. Early detection and management of occupational and environmental noise. In: Khoza-Shangase K, editor. Preventive audiology: An African perspective [Internet]. Cape Town: AOSIS; 2022 [cited 2024 Nov 26]. Available from: http://www.ncbi.nlm.nih.gov/books/NBK601304/
    29. Patel H, Davy P, Tollemache C, Talbot N, Salmond J, Williams DE. Evaluating the efficacy of targeted traffic management interventions: A novel methodology for determining the composition of particulate matter in urban air pollution hotspots. Sci Total Environ. 2024 Nov 15;951:175414. doi: 10.1016/j.scitotenv.2024.175414. Epub 2024 Aug 8. PMID: 39127221.
    30. Fabry DA, Bhowmik AK. Improving Speech Understanding and Monitoring Health with Hearing Aids Using Artificial Intelligence and Embedded Sensors. Semin Hear. 2021 Aug;42(3):295-308. doi: 10.1055/s-0041-1735136. Epub 2021 Sep 24. PMID: 34594091; PMCID: PMC8463124.
    31. Lie A, Skogstad M, Johannessen HA, Tynes T, Mehlum IS, Nordby KC, Engdahl B, Tambs K. Occupational noise exposure and hearing: a systematic review. Int Arch Occup Environ Health. 2016 Apr;89(3):351-72. doi: 10.1007/s00420-015-1083-5. Epub 2015 Aug 7. PMID: 26249711; PMCID: PMC4786595.
    32. Chen KH, Su SB, Chen KT. An overview of occupational noise-induced hearing loss among workers: epidemiology, pathogenesis, and preventive measures. Environ Health Prev Med. 2020 Oct 31;25(1):65. doi: 10.1186/s12199-020-00906-0. PMID: 33129267; PMCID: PMC7603754.
    33. Hussein R, Griffin AC, Pichon A, Oldenburg J. A guiding framework for creating a comprehensive strategy for mHealth data sharing, privacy, and governance in low- and middle-income countries (LMICs). J Am Med Inform Assoc. 2023 Mar 16;30(4):787-794. doi: 10.1093/jamia/ocac198. PMID: 36259962; PMCID: PMC10018261.
    34. Saeed SA, Masters RM. Disparities in Health Care and the Digital Divide. Curr Psychiatry Rep. 2021 Jul 23;23(9):61. doi: 10.1007/s11920-021-01274-4. PMID: 34297202; PMCID: PMC8300069.
    35. Rejeb A, Rejeb K, Treiblmaier H, Appolloni A, Alghamdi S, Alhasawi Y, et al. The Internet of Things (IoT) in healthcare: Taking stock and moving forward. Internet of Things [Internet]. 2023 Jul 1;22:100721. Available from: https://www.sciencedirect.com/science/article/pii/S2542660523000446
    36. Alahi MEE, Sukkuea A, Tina FW, Nag A, Kurdthongmee W, Suwannarat K, Mukhopadhyay SC. Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends. Sensors (Basel). 2023 May 30;23(11):5206. doi: 10.3390/s23115206. PMID: 37299934; PMCID: PMC10256108.
    37. Valentin G, Nielsen CV, Nielsen AM, Tonnesen M, Bliksted KL, Jensen KT, Ingerslev K, Maribo T, Oestergaard LG. Bridging Inequity Gaps in Healthcare Systems While Educating Future Healthcare Professionals-The Social Health Bridge-Building Programme. Int J Environ Res Public Health. 2023 Sep 27;20(19):6837. doi: 10.3390/ijerph20196837. PMID: 37835107; PMCID: PMC10572531.
    38. Lu L, Zhang J, Xie Y, Gao F, Xu S, Wu X, Ye Z. Wearable Health Devices in Health Care: Narrative Systematic Review. JMIR Mhealth Uhealth. 2020 Nov 9;8(11):e18907. doi: 10.2196/18907. PMID: 33164904; PMCID: PMC7683248.
    39. FasterCapital [Internet]. [cited 2024 Dec 4]. The role of artificial intelligence in hearing solutions. Available from: https://fastercapital.com/keyword/the-role-of-artificial-intelligence-in-hearing-solutions.html
    40. Clark H, Coll-Seck AM, Banerjee A, Peterson S, Dalglish SL, Ameratunga S, et al. A future for the world’s children? A WHO–UNICEF–Lancet Commission. Lancet [Internet]. 2020 Feb 22 [cited 2024 Nov 25];395(10224):605-58. Available from: https://doi.org/10.1016/S0140-6736(19)32540-1
    41. Aslam B, Asghar R, Muzammil S, Shafique M, Siddique AB, Khurshid M, Ijaz M, Rasool MH, Chaudhry TH, Aamir A, Baloch Z. AMR and Sustainable Development Goals: at a crossroads. Global Health. 2024 Oct 17;20(1):73. doi: 10.1186/s12992-024-01046-8. PMID: 39415207; PMCID: PMC11484313
    42. Dillard LK, Der CM, Laplante-Lévesque A, Swanepoel W, Thorne PR, McPherson B, de Andrade V, Newall J, Ramos HD, Kaspar A, Nieman CL, Clark JL, Chadha S. Service delivery approaches related to hearing aids in low- and middle-income countries or resource-limited settings: A systematic scoping review. PLOS Glob Public Health. 2024 Jan 24;4(1):e0002823. doi: 10.1371/journal.pgph.0002823. PMID: 38266001; PMCID: PMC10807760.

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