AI in health and medicine
By Pranav Rajpurkar, E. Chen, Oishi Banerjee, Eric J. Topol. Nature Medicine, 2022
2,418 citations recorded by the source corpus.
Subfields: Health Informatics, Health Information Management, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/5d6f8b7dbe3909869f2821e50ab0f9e9623f32e2
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In Health Informatics
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- The next generation of evidence-based medicine (2023, neutral): “Next-generation clinical trials using AI should consider AI + human rather than AI versus human scenarios 75,78 .”
- Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review (2023, background): “In another field, such as medicine, AI’s potential to transform healthcare and medicine significantly is highlighted, indicating its ability to improve both clinical and patient experiences through enhanced data analysis and decision-making [93, 94].”
- ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns (2023, background): “The promising utility of AI in health care has been outlined previously with possible benefits in personalized medicine, drug discovery, and the analysis of large datasets aside from the potential applications to improve diagnosis and clinical decisions [17,18].”
- The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century (2024, background): “In recent years, artificial intelligence (AI) has emerged as a transformative force in various sectors, with healthcare being one of the most significant [1].”