AI Article Synopsis

  • * There is a growing need for enhanced treatment strategies, incorporating multidisciplinary approaches and tailored care for individual patients.
  • * This review highlights recent studies on various treatment options for spinal metastases, exploring advanced techniques like minimally invasive surgery, radiation therapies, and the roles of artificial intelligence and next-generation sequencing in patient care.

Article Abstract

Spinal metastases occur in up to 40% of patients with cancer. Of these cases, 10% become symptomatic. The reported incidence of spinal metastases has increased in recent years due to innovations in imaging modalities and oncological treatments. As the incidence of spinal metastases rises, so does the demand for improved treatments and treatment algorithms, which now emphasize greater multidisciplinary collaboration and are increasingly customized per patient. Uniquely, we discuss the potential clinical applications of AI and NGS in the treatment of spinal metastases. Material and Methods: A PubMed search for articles published from 2000 to 2023 regarding spinal metastases and artificial intelligence in healthcare was completed. After screening for relevance, the key findings from each study were summarized in this update. Results: This review summarizes the evidence from studies reporting on treatment modalities for spinal metastases, including minimally invasive surgery (MIS), external beam radiation therapy (EBRT), stereotactic radiosurgery (SRS), CFR-PEEK instrumentation, radiofrequency ablation (RFA), next-generation sequencing (NGS), artificial intelligence, and predictive models.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11352440PMC
http://dx.doi.org/10.3390/cancers16162800DOI Listing

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