… In a clinical study, 335 high-risk cancer patients were analyzed by random forest ML model
… prevent nearly one-third of un-needed surgeries [59]. As breast cancer is the leading cancer …

… of neural network structures is beyond the scope of this article, artificial neural networks (ANNs) …
surveillance is a universally recommended aspect of cancer care, which offers patients …

… of cancer patients and produced results within only four days [165]. As all these revolutionary
approaches to cancer patients’ care hold the key to effective treatment in … trials beyond the …

… information to predict the factors affecting the prognosis of cancer patients (27). In addition,
AI … new dynamic diagnostic and prognostic biomarkers to provide accurate cancer care (30). …

… collected to enhance cancer care. With recent advances in the field of artificial intelligence
(AI), … In this perspective, we propose a pathway of clinical cancer care touchpoints for narrow-…

… for the early detection of cancer have been undertaken in primary care settings [17]. … of
cancer and could be applied to primary care EHR data. We also aim to summarize the diagnostic …

… diagnostics and precision medicine [2], [5]. Precision medicine allows the delivery of correct
cancer treatment to patients … AI and medical imaging goes beyond radiology. Pathology …

… improve cancer treatment through the noninvasive characterization of cancer biology for a
… time and treatments and extract deeper layers of data beyond radiographic phenotype from …

… cancer genomics within the context of workflows to integrate genomic analysis for … cancer
care. The existing solutions of AI and their limitations in cancer genetic testing and diagnostics …

… the clinic, we foresee a shifting paradigm in cancer care becoming strongly driven by AI. …
Drug repurposing—finding new therapeutic use for an “old” drug beyond its existing medical …