Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case

• DOI: 10.3390/diagnostics13172813
• Publication Date: 2023-08-30T14:30:52Z
• Authors: Lorena Escudero S...; Thomas Buddenkotte; Mohammad Al Sa’d; Cathal McCague; James Darcy; Leonardo Rundo; Alex Samoshkin; Martin J. Graves; Victoria Hollamby; Paul Browne; Mireia Crispin-Or...; Ramona Woitek; Evis Sala; Carola-Bibiane Sc...; Simon J. Doran; Ozan Öktem
• Keywords: Bridge (graph theory)

Artificial intelligence (AI) methods applied to healthcare problems have shown enormous potential alleviate the burden of health services worldwide and improve accuracy reproducibility predictions. In particular, developments in computer vision are creating a paradigm shift analysis radiological images, where AI tools already capable automatically detecting precisely delineating tumours. However, such generally developed technical departments that continue be siloed from real benefit would achieved with their usage. Significant effort still needs made make these advancements available, first academic clinical research ultimately setting. this paper, we demonstrate prototype pipeline based entirely on open-source software free cost bridge gap, simplifying integration models within community into setting, ensuring an accessible platform visualisation applications allow end-users as radiologists view interact outcome tools.