Artificial intelligence in healthcare: Opportunities come with landmines

Usman Iqbal; Yi-Hsin Elsa Hsu; Leo Anthony Celi; Yu-Chuan (Jack) Li

doi:10.1136/bmjhci-2024-101086

Artificial intelligence in healthcare: Opportunities come with landmines

Usman Iqbal, Yi-Hsin Elsa Hsu, Leo Anthony Celi, Yu-Chuan (Jack) Li

Research output: Contribution to journal › Editorial › Research › peer-review

1 Citation (Scopus)

Abstract

In the ever-evolving landscape of healthcare, the convergence of artificial intelligence (AI) within breast cancer screening and the transformative potential of natural language processing (NLP) in ensuring patient safety stands as a testament to ground-breaking progress. The seamless integration of AI technologies in radiology is reshaping diagnostic precision while NLP’s capacity to decipher and enhance safety protocols heralds a new era in healthcare innovation.

Original language	English
Pages (from-to)	1-3
Number of pages	3
Journal	BMJ Health & Care Informatics
Volume	31
Issue number	1
DOIs	https://doi.org/10.1136/bmjhci-2024-101086
Publication status	Published - Jun 2024
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1136/bmjhci-2024-101086Licence: CC BY-NC

Cite this

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title = "Artificial intelligence in healthcare: Opportunities come with landmines",

abstract = "In the ever-evolving landscape of healthcare, the convergence of artificial intelligence (AI) within breast cancer screening and the transformative potential of natural language processing (NLP) in ensuring patient safety stands as a testament to ground-breaking progress. The seamless integration of AI technologies in radiology is reshaping diagnostic precision while NLP{\textquoteright}s capacity to decipher and enhance safety protocols heralds a new era in healthcare innovation.",

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AB - In the ever-evolving landscape of healthcare, the convergence of artificial intelligence (AI) within breast cancer screening and the transformative potential of natural language processing (NLP) in ensuring patient safety stands as a testament to ground-breaking progress. The seamless integration of AI technologies in radiology is reshaping diagnostic precision while NLP’s capacity to decipher and enhance safety protocols heralds a new era in healthcare innovation.

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DO - 10.1136/bmjhci-2024-101086

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