Wojciech Slusarczyk
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Wojciech Slusarczyk has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Aruni Ghose
Cardio-Oncology Service, University College London Hospitals NHS Foundation Trust, London NW1 2PG, UK
1 shared publication - Aydin Caglayan
Department of Medical Oncology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
1 shared publication - Rukhshana Dina Rabbani
Department of Medical Oncology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
1 shared publication - Stergios Boussios
Department of Medical Oncology, Ioannina University Hospital, 45500 Ioannina, Greece
1 shared publication - Vasileios Papadopoulos
Department of Urology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
1 shared publication
Latest Publications
- Open Access
- 29 March 2024
- Published by MDPI AG in Current Oncology
- Vol. 31 (4) , 1817-1830
Large Language Models in Oncology: Revolution or Cause for Concern?
The technological capability of artificial intelligence (AI) continues to advance with great strength. 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. This review offers a comprehensive overview of the potential application of large language models in oncology, as well as concerns surrounding their implementation in cancer care.
- 29 March 2024
- Published by MDPI AG in Current Oncology
- Vol. 31 (4) , 1817-1830
Open AccessLarge Language Models in Oncology: Revolution or Cause for Concern?
The technological capability of artificial intelligence (AI) continues to advance with great strength. 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. This review offers a comprehensive overview of the potential application of large language models in oncology, as well as concerns surrounding their implementation in cancer care.