AIMC Topic: Medicare
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Abdominal and robotic sacrocolpopexy costs following implementation of enhanced recovery after surgery.
International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Jan 9, 2023
OBJECTIVE: To compare perioperative costs and morbidity between open and robotic sacrocolpopexy after implementation of enhanced recovery after surgery (ERAS) pathway.
Factors contributing to the utilization of robotic colorectal surgery: a systematic review and meta-analysis.
Surgical endoscopy
Dec 15, 2022
BACKGROUND: Some studies have suggested disparities in access to robotic colorectal surgery, however, it is unclear which factors are most meaningful in the determination of approach relative to laparoscopic or open surgery. This study aimed to ident...
Validation of a Deep Learning-Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data.
JAMA network open
Dec 1, 2022
IMPORTANCE: Lung cancer screening with chest computed tomography (CT) prevents lung cancer death; however, fewer than 5% of eligible Americans are screened. CXR-LC, an open-source deep learning tool that estimates lung cancer risk from existing chest...
Comparison of Deep Learning and Classical Machine Learning Algorithms to Predict Postoperative Outcomes for Anterior Cervical Discectomy and Fusion Procedures With State-of-the-art Performance.
Spine
Sep 21, 2022
STUDY DESIGN: Retrospective cohort.
Deep Learning Assistance Closes the Accuracy Gap in Fracture Detection Across Clinician Types.
Clinical orthopaedics and related research
Sep 9, 2022
BACKGROUND: Missed fractures are the most common diagnostic errors in musculoskeletal imaging and can result in treatment delays and preventable morbidity. Deep learning, a subfield of artificial intelligence, can be used to accurately detect fractur...
Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?
Journal of the American Heart Association
Mar 24, 2022
Background Social risk factors influence rehospitalization rates yet are challenging to incorporate into prediction models. Integration of social risk factors using natural language processing (NLP) and machine learning could improve risk prediction ...
Insurance payment for artificial intelligence technology: Methods used by a stroke artificial intelligence system and strategies to qualify for the new technology add-on payment.
The neuroradiology journal
Jan 6, 2022
The first ever insurance reimbursement for an artificial intelligence (AI) system, which expedites triage of acute stroke, occurred in 2020 when the Centers for Medicare and Medicaid Services (CMS) granted approval for a New Technology Add-on Payment...
Low-value care and excess out-of-pocket expenditure among older adults with incident cancer - A machine learning approach.
Journal of cancer policy
Oct 29, 2021
OBJECTIVE: To evaluate the association of low-value care with excess out-of-pocket expenditure among older adults diagnosed with incident breast, prostate, colorectal cancers, and Non-Hodgkin's Lymphoma.
Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations.
PloS one
Jun 3, 2021
OBJECTIVE: This study aimed to develop and validate a claims-based, machine learning algorithm to predict clinical outcomes across both medical and surgical patient populations.
Improving Stroke Risk Prediction in the General Population: A Comparative Assessment of Common Clinical Rules, a New Multimorbid Index, and Machine-Learning-Based Algorithms.
Thrombosis and haemostasis
May 28, 2021
BACKGROUND: There are few large studies examining and predicting the diversified cardiovascular/noncardiovascular comorbidity relationships with stroke. We investigated stroke risks in a very large prospective cohort of patients with multimorbidity, ...
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