AIMC Topic: Humans

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Emerging Roles for Artificial Intelligence in Heart Failure Imaging.

Heart failure clinics
Artificial intelligence (AI) applications are expanding in cardiac imaging. AI research has shown promise in workflow optimization, disease diagnosis, and integration of clinical and imaging data to predict patient outcomes. The diagnostic and progno...

The Minimally Invasive Inguinal Hernia: Current Trends and Considerations.

The Surgical clinics of North America
Inguinal hernias are one of the most common surgical pathologies faced by the general surgeon in modern medicine. The cumulative incidence of an inguinal hernia is around 25% in men and 3% in women. The majority of inguinal hernias can be repaired mi...

ChatGPT in Colorectal Surgery: A Promising Tool or a Passing Fad?

Annals of biomedical engineering
Colorectal surgery is a specialized branch of surgery that involves the diagnosis and treatment of conditions affecting the colon, rectum, and anus. In the recent years, the use of artificial intelligence (AI) has gained considerable interest in vari...

Deep Learning-Based Prediction of Right Ventricular Ejection Fraction Using 2D Echocardiograms.

JACC. Cardiovascular imaging
BACKGROUND: Evidence has shown the independent prognostic value of right ventricular (RV) function, even in patients with left-sided heart disease. The most widely used imaging technique to measure RV function is echocardiography; however, convention...

Comparison of surgical completeness in patients operated on conventional open total thyroidectomy (OT) or trans-axillary robot-assisted total thyroidectomy (RATT) by a single axillary approach.

Updates in surgery
Trans-axillary robot-assisted total thyroidectomy (RATT) is nowadays worldwide accepted but the completeness obtained by RATT is still debated. The Aim of this study was to compare the completeness and safety of RATT with conventional open thyroidect...

Boosting multiple sclerosis lesion segmentation through attention mechanism.

Computers in biology and medicine
Magnetic resonance imaging is a fundamental tool to reach a diagnosis of multiple sclerosis and monitoring its progression. Although several attempts have been made to segment multiple sclerosis lesions using artificial intelligence, fully automated ...

Platform for investigating continuum manipulator behavior in orthopedics.

International journal of computer assisted radiology and surgery
PURPOSE: The use of robotic continuum manipulators has been proposed to facilitate less-invasive orthopedic surgical procedures. While tools and strategies have been developed, critical challenges such as system control and intra-operative guidance a...

Benign vs malignant vertebral compression fractures with MRI: a comparison between automatic deep learning network and radiologist's assessment.

European radiology
OBJECTIVE: To test the diagnostic performance of a deep-learning Two-Stream Compare and Contrast Network (TSCCN) model for differentiating benign and malignant vertebral compression fractures (VCFs) based on MRI.

Long-term epilepsy outcome dynamics revealed by natural language processing of clinic notes.

Epilepsia
OBJECTIVE: Electronic medical records allow for retrospective clinical research with large patient cohorts. However, epilepsy outcomes are often contained in free text notes that are difficult to mine. We recently developed and validated novel natura...