Artificial Intelligence in Medicine: Today and Tomorrow
Artificial intelligence-powered medical technologies are rapidly evolving into applicable solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of data provided by wearables, smartphones, and other mobile monitoring sensors in different areas of medicine. Current...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-02-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fmed.2020.00027/full |
| _version_ | 1818175700416331776 |
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| author | Giovanni Briganti Giovanni Briganti Olivier Le Moine Olivier Le Moine |
| author_facet | Giovanni Briganti Giovanni Briganti Olivier Le Moine Olivier Le Moine |
| author_sort | Giovanni Briganti |
| collection | DOAJ |
| description | Artificial intelligence-powered medical technologies are rapidly evolving into applicable solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of data provided by wearables, smartphones, and other mobile monitoring sensors in different areas of medicine. Currently, only very specific settings in clinical practice benefit from the application of artificial intelligence, such as the detection of atrial fibrillation, epilepsy seizures, and hypoglycemia, or the diagnosis of disease based on histopathological examination or medical imaging. The implementation of augmented medicine is long-awaited by patients because it allows for a greater autonomy and a more personalized treatment, however, it is met with resistance from physicians which were not prepared for such an evolution of clinical practice. This phenomenon also creates the need to validate these modern tools with traditional clinical trials, debate the educational upgrade of the medical curriculum in light of digital medicine as well as ethical consideration of the ongoing connected monitoring. The aim of this paper is to discuss recent scientific literature and provide a perspective on the benefits, future opportunities and risks of established artificial intelligence applications in clinical practice on physicians, healthcare institutions, medical education, and bioethics. |
| first_indexed | 2024-12-11T20:04:28Z |
| format | Article |
| id | doaj.art-545901a728d74d42af5cde4874bfbd30 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-12-11T20:04:28Z |
| publishDate | 2020-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-545901a728d74d42af5cde4874bfbd302022-12-22T00:52:26ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2020-02-01710.3389/fmed.2020.00027509744Artificial Intelligence in Medicine: Today and TomorrowGiovanni Briganti0Giovanni Briganti1Olivier Le Moine2Olivier Le Moine3Medical Informatics, School of Medicine, Université Libre de Bruxelles, Brussels, BelgiumUnit of Epidemiology, Biostatistics and Clinical Research, School of Public Health, Université Libre de Bruxelles, Brussels, BelgiumMedical Informatics, School of Medicine, Université Libre de Bruxelles, Brussels, BelgiumHopital Erasme, Université Libre de Bruxelles, Brussels, BelgiumArtificial intelligence-powered medical technologies are rapidly evolving into applicable solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of data provided by wearables, smartphones, and other mobile monitoring sensors in different areas of medicine. Currently, only very specific settings in clinical practice benefit from the application of artificial intelligence, such as the detection of atrial fibrillation, epilepsy seizures, and hypoglycemia, or the diagnosis of disease based on histopathological examination or medical imaging. The implementation of augmented medicine is long-awaited by patients because it allows for a greater autonomy and a more personalized treatment, however, it is met with resistance from physicians which were not prepared for such an evolution of clinical practice. This phenomenon also creates the need to validate these modern tools with traditional clinical trials, debate the educational upgrade of the medical curriculum in light of digital medicine as well as ethical consideration of the ongoing connected monitoring. The aim of this paper is to discuss recent scientific literature and provide a perspective on the benefits, future opportunities and risks of established artificial intelligence applications in clinical practice on physicians, healthcare institutions, medical education, and bioethics.https://www.frontiersin.org/article/10.3389/fmed.2020.00027/fulldigital medicinemobile healthmedical technologiesartificial intelligencemonitoring |
| spellingShingle | Giovanni Briganti Giovanni Briganti Olivier Le Moine Olivier Le Moine Artificial Intelligence in Medicine: Today and Tomorrow Frontiers in Medicine digital medicine mobile health medical technologies artificial intelligence monitoring |
| title | Artificial Intelligence in Medicine: Today and Tomorrow |
| title_full | Artificial Intelligence in Medicine: Today and Tomorrow |
| title_fullStr | Artificial Intelligence in Medicine: Today and Tomorrow |
| title_full_unstemmed | Artificial Intelligence in Medicine: Today and Tomorrow |
| title_short | Artificial Intelligence in Medicine: Today and Tomorrow |
| title_sort | artificial intelligence in medicine today and tomorrow |
| topic | digital medicine mobile health medical technologies artificial intelligence monitoring |
| url | https://www.frontiersin.org/article/10.3389/fmed.2020.00027/full |
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