How to critically appraise and direct the trajectory of AI development and application in oncology
As artificial intelligence (AI) advances, oncologists stand at the forefront of a transformative era in healthcare. AI, which empowers machines to learn from data, make decisions, and carry out tasks typically requiring human intelligence, is revolutionizing our clinical landscape. It promises strea...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-09-01
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| Series: | ESMO Real World Data and Digital Oncology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949820124000444 |
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| Summary: | As artificial intelligence (AI) advances, oncologists stand at the forefront of a transformative era in healthcare. AI, which empowers machines to learn from data, make decisions, and carry out tasks typically requiring human intelligence, is revolutionizing our clinical landscape. It promises streamlined workflows, enhanced diagnostic accuracy, and personalized treatments tailored to each patient’s unique profile. In the vast sea of patient data, AI serves as a guiding compass, ensuring no detail is overlooked, amplifying clinical acumen, and refining treatment decisions. However, to ensure AI’s benefits reach patients effectively, it is imperative that oncologists actively guide its development and application. This overview aims to equip oncologists with the tools to critically appraise and influence the trajectory of AI in oncology, ensuring its integration leads to meaningful advances in patient care. |
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| ISSN: | 2949-8201 |