Chang, T., Cao, Y., Sfreddo, H.J., Dhruba, S.R., Lee, S., Valero, C., et al. (2024) LORIS Robustly Predicts Patient Outcomes with Immune Checkpoint Blockade Therapy Using Common Clinical, Pathologic and Genomic Features. Nature Cancer, 5, 1158-1175.
https://doi.org/10.1038/s43018-024-00772-7

has been cited by the following article:

• TITLE: The Role of Artificial Intelligence in Diagnostic Medicine: A Narrative Review

  AUTHORS: Ali Abdin

  KEYWORDS: Artificial Intelligence, Machine Learning, Diagnostic Medicine, Technology, Narrative Review

  JOURNAL NAME: Open Access Library Journal, Vol.11 No.11, November 8, 2024

  ABSTRACT: Artificial intelligence (AI) has been with us since the 1950s and has long since undergone major developments in its capabilities and complexities, but it has recently evolved to a point where its capabilities have been substantially enhanced, all thanks to technological advances in the field of AI and modern hardware. While AI has already found applications in medicine, new revolutionary uses for it are emerging that could profoundly impact the future of healthcare for both clinicians and patients alike. However, with every new technology comes with it new issues to tackle, which can pose significant challenges. Thus, this paper aims to explore the following: what is AI and how does it function (a), its role in medical imaging (b), its application in predictive diagnostics (c), its future in genomics and personalized medicine (d), its contributions to personalized medicine (e), its limitations that require addressing (f) and its future in the field of medicine (g).