Biomedical Informatics: State of the Art, Challenges, and Opportunities
Biomedical informatics can be considered as a multidisciplinary research and educational field situated at the intersection of computational sciences (including computer science, data science, mathematics, and statistics), biology, and medicine. In recent years, there have been advances in the field...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | BioMedInformatics |
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| Online Access: | https://www.mdpi.com/2673-7426/4/1/6 |
| _version_ | 1827306961807343616 |
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| author | Carson K. Leung |
| author_facet | Carson K. Leung |
| author_sort | Carson K. Leung |
| collection | DOAJ |
| description | Biomedical informatics can be considered as a multidisciplinary research and educational field situated at the intersection of computational sciences (including computer science, data science, mathematics, and statistics), biology, and medicine. In recent years, there have been advances in the field of biomedical informatics. The current article highlights some interesting state-of-the-art research outcomes in these fields. These include research outcomes in areas like (i) computational biology and medicine, (ii) explainable artificial intelligence (XAI) in biomedical research and clinical practice, (iii) machine learning (including deep learning) methods and application for bioinformatics and healthcare, (iv) imaging informatics, as well as (v) medical statistics and data science. Moreover, the current article also discusses some existing challenges and potential future directions for these research areas to advance the fields of biomedical informatics. |
| first_indexed | 2024-04-24T18:31:16Z |
| format | Article |
| id | doaj.art-75c3282b3c7242668e7980ab0b765ce3 |
| institution | Directory Open Access Journal |
| issn | 2673-7426 |
| language | English |
| last_indexed | 2024-04-24T18:31:16Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | BioMedInformatics |
| spelling | doaj.art-75c3282b3c7242668e7980ab0b765ce32024-03-27T13:27:27ZengMDPI AGBioMedInformatics2673-74262024-01-0141899710.3390/biomedinformatics4010006Biomedical Informatics: State of the Art, Challenges, and OpportunitiesCarson K. Leung0Department of Computer Science, University of Manitoba, Winnipeg, MB R3T 2N2, CanadaBiomedical informatics can be considered as a multidisciplinary research and educational field situated at the intersection of computational sciences (including computer science, data science, mathematics, and statistics), biology, and medicine. In recent years, there have been advances in the field of biomedical informatics. The current article highlights some interesting state-of-the-art research outcomes in these fields. These include research outcomes in areas like (i) computational biology and medicine, (ii) explainable artificial intelligence (XAI) in biomedical research and clinical practice, (iii) machine learning (including deep learning) methods and application for bioinformatics and healthcare, (iv) imaging informatics, as well as (v) medical statistics and data science. Moreover, the current article also discusses some existing challenges and potential future directions for these research areas to advance the fields of biomedical informatics.https://www.mdpi.com/2673-7426/4/1/6bioinformaticsmedical informaticshealth informaticscomputational biology and medicineexplainable artificial intelligence (XAI)machine learning |
| spellingShingle | Carson K. Leung Biomedical Informatics: State of the Art, Challenges, and Opportunities BioMedInformatics bioinformatics medical informatics health informatics computational biology and medicine explainable artificial intelligence (XAI) machine learning |
| title | Biomedical Informatics: State of the Art, Challenges, and Opportunities |
| title_full | Biomedical Informatics: State of the Art, Challenges, and Opportunities |
| title_fullStr | Biomedical Informatics: State of the Art, Challenges, and Opportunities |
| title_full_unstemmed | Biomedical Informatics: State of the Art, Challenges, and Opportunities |
| title_short | Biomedical Informatics: State of the Art, Challenges, and Opportunities |
| title_sort | biomedical informatics state of the art challenges and opportunities |
| topic | bioinformatics medical informatics health informatics computational biology and medicine explainable artificial intelligence (XAI) machine learning |
| url | https://www.mdpi.com/2673-7426/4/1/6 |
| work_keys_str_mv | AT carsonkleung biomedicalinformaticsstateoftheartchallengesandopportunities |