Search Tag: reproducibility
2025 17 Jan
The integration of artificial intelligence (AI) into medical practice has significantly advanced clinical decision-making, diagnostics and patient management. However, the rapid evolution of AI technology presents considerable challenges in ensuring consistent reporting, ethical compliance and reproducibility in research findings. To address these...Read more
2024 25 Nov
Deep learning has transformed medical imaging by providing automated solutions for tasks such as image segmentation, which requires the precise delineation of regions of interest (ROIs). These tasks are critical for applications like oncology, radiation therapy planning and lesion classification. Despite the promise of deep learning, challenges...Read more
2024 03 Nov
Radiomics is a rapidly evolving field in medical imaging, offering significant potential to improve clinical decision-making. This methodology extracts detailed quantitative features from medical images, revealing information that is imperceptible to the naked eye. However, the complexity of radiomics introduces challenges related to reproducibility,...Read more
2024 27 Oct
In the rapidly evolving field of artificial intelligence (AI) research, especially within healthcare, it is critical to ensure transparency, reliability and reproducibility. Although procedural and reporting guidelines aim to structure and communicate scientific findings, the challenges of data leakage and reproducibility issues persist. The FAIR...Read more