Refractive Surgery

Post Hoc Sample Size Estimation for Deep Learning Architectures for ECG-Classification.

Deep Learning architectures for time series require a large number of training samples, however trad...

Robot-assisted radical cystectomy: Where we are in 2023.

Open radical cystectomy (ORC) is associated with high rates of perioperative morbidity and mortality...

Non-invasive localization of post-infarct ventricular tachycardia exit sites to guide ablation planning: a computational deep learning platform utilizing the 12-lead electrocardiogram and intracardiac electrograms from implanted devices.

AIMS: Existing strategies that identify post-infarct ventricular tachycardia (VT) ablation target ei...

A Review of the Role of Robotics in Surgery: To DaVinci and Beyond!

Since its inception in 1985, robotic surgery has evolved into a mainstream surgical approach that ha...

Live-Cell Labeling and Artificial Intelligence Approaches for High-Resolution XYZT Imaging of Cytoskeletal Dynamics During Collective Cell Migration.

Collective cell migration is crucial for a variety of pathophysiological processes including embryon...

A novel method for conformity assessment testing of infant incubators for post-market surveillance purposes.

BACKGROUND: Premature born infants or infants born sick require immediate medical attention and decr...

A novel method for conformity assessment testing of anaesthesia machines for post-market surveillance purposes.

BACKGROUND: Anaesthesia machines, as moderate to high-risk medical devices intended for use on patie...

A novel method for conformity assessment testing of mechanical ventilators for post-market surveillance purposes.

BACKGROUND: Mechanical ventilators are medical devices used in intensive care units when patients ar...

A novel method for conformity assessment testing of dialysis machines for post-market surveillance purposes.

BACKGROUND: Dialysis machines are used regularly in healthcare practice. They are classified as a ty...

A novel method for conformity assessment testing of infusion and perfusion pumps for post-market surveillance purposes.

BACKGROUND: Introduction of fluids, medicaments and nutrients into the human body during hospitaliza...

A novel method for conformity assessment testing of therapeutic ultrasounds for post-market surveillance purposes.

BACKGROUND: Therapeutic ultrasounds are medical devices used for treatment of conditions such muscle...

A novel method for conformity assessment testing of patient monitors for post-market surveillance purposes.

BACKGROUND: Patient monitors are medical devices used to monitor vital parameters such as heart rate...

A novel method for conformity assessment testing of defibrillators for post-market surveillance purposes.

BACKGROUND: Defibrillators are medical devices (MDs) used in the most critical situations, hence the...

A novel method for conformity assessment testing of electrocardiographs for post-market surveillance purposes.

BACKGROUND: Monitoring cardiac parameters is the fundamental aspect of every diagnostic process and ...

Development and validation of a deep-learning model for detecting brain metastases on 3D post-contrast MRI: a multi-center multi-reader evaluation study.

BACKGROUND: Accurate detection is essential for brain metastasis (BM) management, but manual identif...

Fingerprint multiplex CARS at high speed based on supercontinuum generation in bulk media and deep learning spectral denoising.

We introduce a broadband coherent anti-Stokes Raman scattering (CARS) microscope based on a 2-MHz re...

Prediction of Post Stroke recovery: Artificial intelligence could be a key of success.

Three-Dimensional Volume Calculation of Intrachoroidal Cavitation Using Deep-Learning-Based Noise Reduction of Optical Coherence Tomography.

PURPOSE: Intrachoroidal cavitations (ICCs) are peripapillary pathological lesions generally associat...

Exploring human activity recognition using feature level fusion of inertial and electromyography data.

Wearables are objective tools for human activity recognition (HAR). Advances in wearables enable syn...

Cross-Validation of Machine Learning Models for the Functional Outcome Prediction after Post-Stroke Robot-Assisted Rehabilitation.

The state of the art is still lacking an extensive analysis of which clinical characteristics are le...

A Practical Post-Stroke Elbow Spasticity Assessment Using an Upper Limb Rehabilitation Robot: A Validation Study.

Spasticity is a motor disorder characterised by a velocity-dependent increase in muscle tone, which ...