AI in biomedical science: innovations, challenges, and ethical perspectives
Artificial intelligence (AI) increasingly influences biomedical scientific writing and clinical practice. The recent article by Fornalik et al. (Explor Digit Health Technol. 2024;2:235–48. doi: 10.37349/edht.2024.00024) explores AI’s capabilities, challenges, and ethical considerations in scientific...
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| Language: | English |
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Open Exploration Publishing Inc.
2025-04-01
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| Series: | Exploration of Digital Health Technologies |
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| Online Access: | https://www.explorationpub.com/uploads/Article/A101144/101144.pdf |
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| author | Aynur Aliyeva |
| author_facet | Aynur Aliyeva |
| author_sort | Aynur Aliyeva |
| collection | DOAJ |
| description | Artificial intelligence (AI) increasingly influences biomedical scientific writing and clinical practice. The recent article by Fornalik et al. (Explor Digit Health Technol. 2024;2:235–48. doi: 10.37349/edht.2024.00024) explores AI’s capabilities, challenges, and ethical considerations in scientific communication, particularly highlighting tools like ChatGPT and Penelope.ai. This commentary aims to reflect on and expand the key themes presented by Fornalik et al. (Explor Digit Health Technol. 2024;2:235–48. doi: 10.37349/edht.2024.00024), emphasizing AI’s role in auditory healthcare, particularly in otolaryngology and auditory rehabilitation. The discussion is based on a critical review and synthesis of recent literature on AI applications in scientific writing and auditory healthcare. Key technologies such as generative AI platforms, machine learning algorithms, and mobile-based auditory training systems are highlighted. AI has shown promising results in enhancing manuscript preparation, literature synthesis, and peer review workflows. In clinical practice, adaptive AI models have improved cochlear implant programming, leading to up to 30% gains in speech perception accuracy. Mobile apps and telehealth platforms using AI have also improved listening effort, communication confidence, and access to care in remote settings. However, limitations include data privacy concerns, lack of population diversity in datasets, and the need for clinician oversight. AI presents transformative opportunities across biomedical science and healthcare. To ensure its responsible use, interdisciplinary collaboration among clinicians, researchers, ethicists, and technologists is essential. Such collaboration can help develop ethical frameworks that enhance innovation while safeguarding patient well-being and scientific integrity. |
| format | Article |
| id | doaj-art-df6409a55c96417dbaa7d906f5950d2f |
| institution | Kabale University |
| issn | 2996-9409 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Open Exploration Publishing Inc. |
| record_format | Article |
| series | Exploration of Digital Health Technologies |
| spelling | doaj-art-df6409a55c96417dbaa7d906f5950d2f2025-08-20T03:24:43ZengOpen Exploration Publishing Inc.Exploration of Digital Health Technologies2996-94092025-04-0132354810.37349/edht.2025.101144AI in biomedical science: innovations, challenges, and ethical perspectivesAynur Aliyeva0https://orcid.org/0000-0001-9398-4261Department of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Seoul St. Mary’s Hospital, The Catholic University of Korea, Seoul 06591, Republic of Korea; Neuroscience Doctoral Program, Yeditepe University, Istanbul 34755, TurkeyArtificial intelligence (AI) increasingly influences biomedical scientific writing and clinical practice. The recent article by Fornalik et al. (Explor Digit Health Technol. 2024;2:235–48. doi: 10.37349/edht.2024.00024) explores AI’s capabilities, challenges, and ethical considerations in scientific communication, particularly highlighting tools like ChatGPT and Penelope.ai. This commentary aims to reflect on and expand the key themes presented by Fornalik et al. (Explor Digit Health Technol. 2024;2:235–48. doi: 10.37349/edht.2024.00024), emphasizing AI’s role in auditory healthcare, particularly in otolaryngology and auditory rehabilitation. The discussion is based on a critical review and synthesis of recent literature on AI applications in scientific writing and auditory healthcare. Key technologies such as generative AI platforms, machine learning algorithms, and mobile-based auditory training systems are highlighted. AI has shown promising results in enhancing manuscript preparation, literature synthesis, and peer review workflows. In clinical practice, adaptive AI models have improved cochlear implant programming, leading to up to 30% gains in speech perception accuracy. Mobile apps and telehealth platforms using AI have also improved listening effort, communication confidence, and access to care in remote settings. However, limitations include data privacy concerns, lack of population diversity in datasets, and the need for clinician oversight. AI presents transformative opportunities across biomedical science and healthcare. To ensure its responsible use, interdisciplinary collaboration among clinicians, researchers, ethicists, and technologists is essential. Such collaboration can help develop ethical frameworks that enhance innovation while safeguarding patient well-being and scientific integrity.https://www.explorationpub.com/uploads/Article/A101144/101144.pdfartificial intelligencebiomedical scienceauditory rehabilitationneurotechnologychatgpthealthcare ethics |
| spellingShingle | Aynur Aliyeva AI in biomedical science: innovations, challenges, and ethical perspectives Exploration of Digital Health Technologies artificial intelligence biomedical science auditory rehabilitation neurotechnology chatgpt healthcare ethics |
| title | AI in biomedical science: innovations, challenges, and ethical perspectives |
| title_full | AI in biomedical science: innovations, challenges, and ethical perspectives |
| title_fullStr | AI in biomedical science: innovations, challenges, and ethical perspectives |
| title_full_unstemmed | AI in biomedical science: innovations, challenges, and ethical perspectives |
| title_short | AI in biomedical science: innovations, challenges, and ethical perspectives |
| title_sort | ai in biomedical science innovations challenges and ethical perspectives |
| topic | artificial intelligence biomedical science auditory rehabilitation neurotechnology chatgpt healthcare ethics |
| url | https://www.explorationpub.com/uploads/Article/A101144/101144.pdf |
| work_keys_str_mv | AT aynuraliyeva aiinbiomedicalscienceinnovationschallengesandethicalperspectives |