The future of healthcare using multimodal AI: Technology that can read, see, hear and sense
With the emergence of large language models like ChatGPT, Artificial Intelligence (AI) has rapidly advanced, garnering widespread usage in various fields, including healthcare. This article explores the trajectory of AI in medicine, examining the transition from unimodal deep learning models to mult...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-06-01
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| Series: | Oral Oncology Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772906024001869 |
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| author | Divya Rao |
| author_facet | Divya Rao |
| author_sort | Divya Rao |
| collection | DOAJ |
| description | With the emergence of large language models like ChatGPT, Artificial Intelligence (AI) has rapidly advanced, garnering widespread usage in various fields, including healthcare. This article explores the trajectory of AI in medicine, examining the transition from unimodal deep learning models to multimodal AI systems capable of processing diverse data formats. MM models that integrate text, images, and other sensory data, offer unprecedented capabilities, from providing comprehensive patient histories to aiding in differential diagnosis. However, ethical and security concerns accompany the use of extensive patient data. While multimodal models show promise, they are not infallible. By automating routine tasks, AI affords clinicians more time to focus on patient care, emphasizing the importance of human empathy and expertise in healthcare delivery. The article underscores the potential of multimodal AI in healthcare, provided it is developed and deployed responsibly with human clinical expertise. |
| format | Article |
| id | doaj-art-3b573a46032349a8aa319ff0662eeeda |
| institution | Kabale University |
| issn | 2772-9060 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Oral Oncology Reports |
| spelling | doaj-art-3b573a46032349a8aa319ff0662eeeda2025-01-09T06:15:52ZengElsevierOral Oncology Reports2772-90602024-06-0110100340The future of healthcare using multimodal AI: Technology that can read, see, hear and senseDivya Rao0Department of Information and Communication Technology, Manipal Institute of Technology, Manipal, Karnataka, 576104, India.; Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, IndiaWith the emergence of large language models like ChatGPT, Artificial Intelligence (AI) has rapidly advanced, garnering widespread usage in various fields, including healthcare. This article explores the trajectory of AI in medicine, examining the transition from unimodal deep learning models to multimodal AI systems capable of processing diverse data formats. MM models that integrate text, images, and other sensory data, offer unprecedented capabilities, from providing comprehensive patient histories to aiding in differential diagnosis. However, ethical and security concerns accompany the use of extensive patient data. While multimodal models show promise, they are not infallible. By automating routine tasks, AI affords clinicians more time to focus on patient care, emphasizing the importance of human empathy and expertise in healthcare delivery. The article underscores the potential of multimodal AI in healthcare, provided it is developed and deployed responsibly with human clinical expertise.http://www.sciencedirect.com/science/article/pii/S2772906024001869MultimodalHealthcareArtificial intelligenceLarge language modelsChatGPTDeep learning |
| spellingShingle | Divya Rao The future of healthcare using multimodal AI: Technology that can read, see, hear and sense Oral Oncology Reports Multimodal Healthcare Artificial intelligence Large language models ChatGPT Deep learning |
| title | The future of healthcare using multimodal AI: Technology that can read, see, hear and sense |
| title_full | The future of healthcare using multimodal AI: Technology that can read, see, hear and sense |
| title_fullStr | The future of healthcare using multimodal AI: Technology that can read, see, hear and sense |
| title_full_unstemmed | The future of healthcare using multimodal AI: Technology that can read, see, hear and sense |
| title_short | The future of healthcare using multimodal AI: Technology that can read, see, hear and sense |
| title_sort | future of healthcare using multimodal ai technology that can read see hear and sense |
| topic | Multimodal Healthcare Artificial intelligence Large language models ChatGPT Deep learning |
| url | http://www.sciencedirect.com/science/article/pii/S2772906024001869 |
| work_keys_str_mv | AT divyarao thefutureofhealthcareusingmultimodalaitechnologythatcanreadseehearandsense AT divyarao futureofhealthcareusingmultimodalaitechnologythatcanreadseehearandsense |