AIMC Topic: Follow-Up Studies

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The affordability of minimally invasive procedures in major lung resection: a prospective study.

Interactive cardiovascular and thoracic surgery
OBJECTIVES: Minimally invasive procedures are used for the surgical treatment of lung cancer. Two techniques are proposed: video-assisted thoracic surgery or robotic-assisted thoracic surgery. Our goal was to study the economic impact of our long-sta...

Robotic Assistance for Training Finger Movement Using a Hebbian Model: A Randomized Controlled Trial.

Neurorehabilitation and neural repair
BACKGROUND: Robots that physically assist movement are increasingly used in rehabilitation therapy after stroke, yet some studies suggest robotic assistance discourages effort and reduces motor learning.

Deep Learning in Mammography: Diagnostic Accuracy of a Multipurpose Image Analysis Software in the Detection of Breast Cancer.

Investigative radiology
OBJECTIVES: The aim of this study was to evaluate the diagnostic accuracy of a multipurpose image analysis software based on deep learning with artificial neural networks for the detection of breast cancer in an independent, dual-center mammography d...

Prediction of 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure: Comparison of Machine Learning and Other Statistical Approaches.

JAMA cardiology
IMPORTANCE: Several attempts have been made at developing models to predict 30-day readmissions in patients with heart failure, but none have sufficient discriminatory capacity for clinical use. Machine-learning (ML) algorithms represent a novel appr...

NT-proBNP Predicts All-Cause Mortality in a Population of Insurance Applicants, Follow-up Analysis and Further Observations.

Journal of insurance medicine (New York, N.Y.)
OBJECTIVE: - Further refine the independent value of NT-proBNP, accounting for the impact of other test results, in predicting all-cause mortality for individual life insurance applicants with and without heart disease.

Developing a Manually Annotated Corpus of Clinical Letters for Breast Cancer Patients on Routine Follow-Up.

Studies in health technology and informatics
This paper introduces the annotation schema and annotation process for a corpus of clinical letters describing the disease course and treatment of oestrogen receptor positive breast cancer patients, after completion of primary surgery and radiotherap...