AI Medical Compendium Journal:
Biomedical engineering online

Showing 51 to 60 of 160 articles

A comparison of point-tracking algorithms in ultrasound videos from the upper limb.

Biomedical engineering online
Tracking points in ultrasound (US) videos can be especially useful to characterize tissues in motion. Tracking algorithms that analyze successive video frames, such as variations of Optical Flow and Lucas-Kanade (LK), exploit frame-to-frame temporal ...

Ocular images-based artificial intelligence on systemic diseases.

Biomedical engineering online
PURPOSE: To provide a summary of the research advances on ocular images-based artificial intelligence on systemic diseases.

A survey on automatic generation of medical imaging reports based on deep learning.

Biomedical engineering online
Recent advances in deep learning have shown great potential for the automatic generation of medical imaging reports. Deep learning techniques, inspired by image captioning, have made significant progress in the field of diagnostic report generation. ...

Multi-modal body part segmentation of infants using deep learning.

Biomedical engineering online
BACKGROUND: Monitoring the body temperature of premature infants is vital, as it allows optimal temperature control and may provide early warning signs for severe diseases such as sepsis. Thermography may be a non-contact and wireless alternative to ...

ECG signal feature extraction trends in methods and applications.

Biomedical engineering online
Signal analysis is a domain which is an amalgamation of different processes coming together to form robust pipelines for the automation of data analysis. When applied to the medical world, physiological signals are used. It is becoming increasingly c...

Recognizing pathology of renal tumor from macroscopic cross-section image by deep learning.

Biomedical engineering online
OBJECTIVES: This study aims to develop and evaluate the deep learning-based classification model for recognizing the pathology of renal tumor from macroscopic cross-section image.

Automatic lesion detection and segmentation in F-flutemetamol positron emission tomography images using deep learning.

Biomedical engineering online
BACKGROUND: Beta amyloid in the brain, which was originally confirmed by post-mortem examinations, can now be confirmed in living patients using amyloid positron emission tomography (PET) tracers, and the accuracy of diagnosis can be improved by beta...

Identification of ocular refraction based on deep learning algorithm as a novel retinoscopy method.

Biomedical engineering online
BACKGROUND: The evaluation of refraction is indispensable in ophthalmic clinics, generally requiring a refractor or retinoscopy under cycloplegia. Retinal fundus photographs (RFPs) supply a wealth of information related to the human eye and might pro...

Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients.

Biomedical engineering online
OBJECTIVES: To use deep learning of serial portable chest X-ray (pCXR) and clinical variables to predict mortality and duration on invasive mechanical ventilation (IMV) for Coronavirus disease 2019 (COVID-19) patients.

Early prediction of hemodialysis complications employing ensemble techniques.

Biomedical engineering online
BACKGROUND AND OBJECTIVES: Hemodialysis complications remain a critical threat among dialysis patients. They result in sudden termination of the session which impacts the efficiency of dialysis. As intra-dialytic complications are the result of the i...