AIMC Topic: Humans

Clear Filters Showing 48681 to 48690 of 95995 articles

Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
BACKGROUND: Attenuation correction can improve the quantitative accuracy of single-photon emission computed tomography (SPECT) images. Existing SPECT-only systems normally can only provide non-attenuation corrected (NC) images which are susceptible t...

Interpretable machine learning for genomics.

Human genetics
High-throughput technologies such as next-generation sequencing allow biologists to observe cell function with unprecedented resolution, but the resulting datasets are too large and complicated for humans to understand without the aid of advanced sta...

Early Catheter Removal on Postoperative Day 2 After Robot-assisted Radical Prostatectomy: Updated Real-life Experience with the Aalst Technique.

European urology focus
We evaluated the feasibility and impact on short- and long-term functional outcomes of very early catheter removal on postoperative day (POD) 2 after robot-assisted radical prostatectomy (RARP). To the best of our knowledge, this is the first multisu...

Elucidating factors influencing machine learning algorithm prediction in spasticity assessment: a prospective observational study.

Computer methods in biomechanics and biomedical engineering
The Machine Learning Model (MLM) has garnered popularity in rehabilitation, ranging from developing algorithms in outcome prediction, prognostication, and training artificial intelligence. High-quality data plays a critical role in algorithm developm...

A novel hybrid evaluation framework for public organizations based on employees' performance factors.

Evaluation and program planning
Performance evaluation is a comprehensive process for comparing activities compared with predetermined organizational criteria. Based on the results of performance evaluation, organizations can embark on purposeful actions to improve their situation....

Utility of a Deep Learning Algorithm for Detection of Reticular Opacity on Chest Radiography in Patients With Interstitial Lung Disease.

AJR. American journal of roentgenology
Deep learning has been heavily explored for pulmonary nodule detection on chest radiographs. Detection of reticular opacity in interstitial lung disease (ILD) is challenging and may also benefit from a deep learning algorithm (DLA). The purpose of ...

Social implementation of a remote surgery system in Japan: a field experiment using a newly developed surgical robot via a commercial network.

Surgery today
PURPOSE: In recent years, the expectations for telesurgery have grown with the development of robot-assisted surgical technology and advances in communication technology. To verify the feasibility of the social implementation of telesurgery, we evalu...

An artificial intelligence platform to optimize workflow during ovarian stimulation and IVF: process improvement and outcome-based predictions.

Reproductive biomedicine online
RESEARCH QUESTION: Can workflow during IVF be facilitated by artificial intelligence to limit monitoring during ovarian stimulation to a single day and enable level-loading of retrievals?