Preventing Avoidable Harm in Cancer Patients
State of the art predictive technologies to enhance patient-centered decision making for bone metastases management.
Problem
In 2024, there were more than 2 million cancer diagnoses in the US alone.
Cancer often spreads from the source (e.g. breast, lung, prostate) to the spine and 12% of these patients develop vertebral compression fractures (VCFs). These fractures lead to unnecessary suffering and pain, ranging from debilitating back pain, weakness in their arms and legs, and/or unexpected hospitalizations and surgeries.
Worst of all, these fractures prevent patients from qualifying for life-prolonging therapies (chemo/radiation), ultimately resulting in early death.
Solution
An AI-enabled software that identifies cancer patients at high-risk of vertebral compression fractures (VCFs).
This ensures that cancer patients are offered the prophylactic care that they need in order to improve patient outcomes and prolong their lives.
“Management of impending metastatic VCF remains a clinical challenge. Previze.AI has developed an important innovation that could easily be used in practice to guide treatments which may prevent pain and neurologic deficit, as well as improve quality of life in cancer patients.”
Dr. Alexander E. Ropper
Director of Spinal Neurosurgery
Baylor College of Medicine, Houston, TX
previzeai.com 