AIMC Topic: Cost-Benefit Analysis
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European Association of Endoscopic Surgeons (EAES) consensus statement on the use of robotics in general surgery.
Surgical endoscopy
Nov 8, 2014
Following an extensive literature search and a consensus conference with subject matter experts the following conclusions can be drawn: 1. Robotic surgery is still at its infancy, and there is a great potential in sophisticated electromechanical syst...
Factors influencing same-day hospital discharge and risk factors for readmission after robotic surgery in the gynecologic oncology patient population.
Journal of minimally invasive gynecology
Oct 7, 2014
STUDY OBJECTIVE: To determine the factors that allow for a safe outpatient robotic-assisted minimally invasive gynecologic oncology surgery procedure.
Genital Neoplasms, Female
Male
Hysterectomy
Middle Aged
Ambulatory Surgical Procedures
Comorbidity
Lung Diseases
Length of Stay
Cost-Benefit Analysis
Risk Factors
Patient Readmission
Aged
Humans
Adult
Retrospective Studies
Age Factors
Female
Adolescent
Robotics
Logistic Models
Minimally Invasive Surgical Procedures
Ovariectomy
Patient Discharge
Cost-effectiveness of a novel AI technology to quantify coronary inflammation and cardiovascular risk in patients undergoing routine coronary computed tomography angiography.
European heart journal. Quality of care & clinical outcomes
Jun 23, 2025
AIMS: Coronary computed tomography angiography (CCTA) is a first-line investigation for chest pain in patients with suspected obstructive coronary artery disease (CAD). However, many acute cardiac events occur in the absence of obstructive CAD. We as...
Clinical and economic effectiveness of Schroth therapy in adolescent idiopathic scoliosis: insights from a machine learning- and active learning-based real-world study.
Journal of orthopaedic surgery and research
May 27, 2025
BACKGROUND: Adolescent idiopathic scoliosis (AIS) is a prevalent musculoskeletal condition affecting approximately 2-3% of the adolescent population. Although exercise-based therapeutic interventions are increasingly employed as non-surgical alternat...
Triple cardiovascular disease detection with an artificial intelligence-enabled stethoscope (TRICORDER): design and rationale for a decentralised, real-world cluster-randomised controlled trial and implementation study.
BMJ open
May 21, 2025
INTRODUCTION: Early detection of cardiovascular disease in primary care is a public health priority, for which the clinical and cost-effectiveness of an artificial intelligence-enabled stethoscope that detects left ventricular systolic dysfunction, a...
Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study.
Scientific reports
May 20, 2025
Machine learning algorithms that integrate multiple biomarkers are increasingly used in disease detection, yet economic considerations are often overlooked. Medial vascular calcification (mVC), a pathology associated with elevated cardiovascular risk...
A cost-effective approach using generative AI and gamification to enhance biomedical treatment and real-time biosensor monitoring.
Scientific reports
May 19, 2025
Biosensors are crucial to the diagnosis process since they are designed to detect a specific biological analyte by changing from a biological entity into electrical signals that can be processed for further inspection and analysis. The method provide...
Cost-effectiveness of opportunistic osteoporosis screening using chest radiographs with deep learning in Germany.
Aging clinical and experimental research
May 13, 2025
BACKGROUND: Osteoporosis is often underdiagnosed due to limitations in traditional screening methods, leading to missed early intervention opportunities. AI-driven screening using chest radiographs could improve early detection, reduce fracture risk,...
Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation.
Health technology assessment (Winchester, England)
May 1, 2025
BACKGROUND: Lung cancer is one of the most common types of cancer and the leading cause of cancer death in the United Kingdom. Artificial intelligence-based software has been developed to reduce the number of missed or misdiagnosed lung nodules on co...
AI-Augmented Kidney Stone Composition Analysis with Auto-Release Improves Quality, Efficiency, Cost-Effectiveness, and Staff Satisfaction.
The journal of applied laboratory medicine
Mar 3, 2025
BACKGROUND: We sought to evaluate key performance indicators related to an internally developed and deployed artificial intelligence (AI)-augmented kidney stone composition test system for potential improvements in test quality, efficiency, cost-effe...
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