The impact of artificial intelligence in medicine on the future role of the physician
By A. Ahuja. PeerJ, 2019
596 citations recorded by the source corpus.
The practice of medicine is changing with the development of new Artificial Intelligence (AI) methods of machine learning. Coupled with rapid improvements in computer processing, these AI-based systems are already improving the accuracy and efficiency of diagnosis and treatment across various specializations. The increasing focus of AI in radiology has led to some experts suggesting that someday AI may even replace radiologists. These suggestions raise the question of whether AI-based systems will eventually replace physicians in some specializations or will augment the role of physicians without actually replacing them. To assess the impact on physicians this research seeks to better understand this technology and how it is transforming medicine. To that end this paper researches the role of AI-based systems in performing medical work in specializations including radiology, pathology, ophthalmology, and cardiology. It concludes that AI-based systems will augment physicians and are unlikely to replace the traditional physician–patient relationship.
Subfields: Artificial Intelligence, Health Informatics, Health Information Management
View Paper: https://www.semanticscholar.org/paper/205383e5929027989c01f33652b1ed6f344fe993
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Citations in the corpus
- How Machine Learning will Transform Biomedicine (2020, unknown): “In this collaborative approach, physicians will make a final diagnosis by integrating all available information, including that provided by machine learning systems (Ahuja, 2019).”
- Investigating the Impact of User Trust on the Adoption and Use of ChatGPT: Survey Analysis (2023, unknown): “The genesis of AI can be traced back to the 1950s, marking the commencement of an extensive voyage that would ultimately lead to the development of intricate, human-like machines capable of independent thinking, learning, and reasoning [1].”
- Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review (2022, background): “possibility of robust and consistent decision-making–in many cases performing on par with or better than human physicians, [11–13] creating a world wherein clinical practice is routinely aided by AI [14].”
- Artificial intelligence to deep learning: machine intelligence approach for drug discovery (2021, methodology): “…in AI have impacted clinical pharmacology in many ways like literature searching and processing, interactions with online predictive ML models, ML methods in framing policy to encourage healthcare in many countries and also to get predictive analysis for drug-related information [449, 450].”