How to objectively evaluate the impact of image-guided surgery technologies.
Jonathan M SorgerPublished in: European journal of nuclear medicine and molecular imaging (2023)
The field of image-guided surgery has evolved from solely using preoperative images to utilizing highly specific tools and software to provide more information to the interventionalist in real time. While deformations in soft tissue often preclude the use of such instruments outside of neurosurgery, recent developments in optical and radioactive guidance have enabled surgeons to better account for organ motion and provide feedback to the surgeon as tissue is cut. These technologies are currently undergoing value assessments in many countries and hold promise to improve outcomes for patients, surgeons, care teams, payors, and society in general.
Keyphrases
- minimally invasive
- quality improvement
- coronary artery bypass
- end stage renal disease
- soft tissue
- ejection fraction
- newly diagnosed
- healthcare
- chronic kidney disease
- palliative care
- physical activity
- patient reported outcomes
- deep learning
- peritoneal dialysis
- high speed
- prognostic factors
- patients undergoing
- acute coronary syndrome
- robot assisted
- adipose tissue
- metabolic syndrome
- machine learning
- health information
- skeletal muscle
- patient reported
- insulin resistance
- artificial intelligence
- weight loss
- atrial fibrillation
- health insurance