Aruni Ghose: Our comprehensive review offers an overview of the potential application of LLMs in oncology, as well as concerns surrounding their implementation in cancer care
Aruni Ghose, Internal Medicine Resident at Barts Health NHS Trust and Focused Topic Network Member at
“Pleasure working with Aydin Caglayan, Wojciech Slusarczyk and Stergios Boussios on this.
Recently, the release of large language models has taken the world by storm with concurrent excitement and concern. As a consequence of their impressive ability and versatility, their provide a potential opportunity for implementation in oncology. Areas of possible application include supporting clinical decision making, education, and contributing to cancer research. Despite the promises that these novel systems can offer, several limitations and barriers challenge their implementation. It is imperative that concerns, such as accountability, data inaccuracy, and data protection, are addressed prior to their integration in oncology. As the progression of artificial intelligence systems continues, new ethical and practical dilemmas will also be approached; thus, the evaluation of these limitations and concerns will be dynamic in nature. Our comprehensive review offers an overview of the potential application of LLMs in oncology, as well as concerns surrounding their implementation in cancer care.
Wonderful Institutional Collaborative effort – Medway NHSFT Research and Innovation Team, Medway NHS Foundation Trust, Medway NHS Foundation Trust Knowledge and Library Service, Kent and Medway Medical School, University of Kent, Canterbury Christ Church University, King’s College London, Barts Health NHS Trust and Mount Vernon Cancer Centre.”
Additional information.
Source: Aruni Ghose/LinkedIn
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