AIMC Topic: Humans

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Long-term safety and efficacy of rilpivirine in combination with nucleoside/nucleotide reverse transcriptase inhibitors in HIV-1 infected patients: 336-week rollover study of phase 2b and 3 clinical studies.

Antiviral therapy
BACKGROUND: To evaluate the long-term safety and efficacy of rilpivirine (RPV), a non-nucleoside reverse transcriptase inhibitor (NNRTI), in combination with nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs) in human immunodeficiency vir...

Using Artificial Intelligence Technology to Solve the Electronic Health Service by Processing the Online Case Information.

Journal of healthcare engineering
With the continuous improvement of economic level and the continuous development of science and technology in China, information technology has begun to integrate into all walks of life. Medical units have begun to change from the traditional medical...

Application of PSO-based LSTM Neural Network for Outpatient Volume Prediction.

Journal of healthcare engineering
In order to study the construction method of long- and short-term memory neural network model, which is based on particle swarm optimization algorithm and its application in hospital outpatient management, we have selected historical data of outpatie...

Diagnostic Value of Deep Learning-Based CT Feature for Severe Pulmonary Infection.

Journal of healthcare engineering
The study aimed to explore the diagnostic value of computed tomography (CT) images based on cavity convolution U-Net algorithm for patients with severe pulmonary infection. A new lung CT image segmentation algorithm (U-Net+ deep convolution (DC)) was...

Deep Learning Applied to White Light and Narrow Band Imaging Videolaryngoscopy: Toward Real-Time Laryngeal Cancer Detection.

The Laryngoscope
OBJECTIVES: To assess a new application of artificial intelligence for real-time detection of laryngeal squamous cell carcinoma (LSCC) in both white light (WL) and narrow-band imaging (NBI) videolaryngoscopies based on the You-Only-Look-Once (YOLO) d...

The Future of Artificial Intelligence in the Medical Field.

Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons

Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions.

European radiology
OBJECTIVES: To compare the overall image quality and detectability of significant (malignant and pre-malignant) liver lesions of low-dose liver CT (LDCT, 33.3% dose) using deep learning denoising (DLD) to standard-dose CT (SDCT, 100% dose) using mode...

Evaluating comforting messages with the sentiment analysis and social cognition engine.

Applied psychology. Health and well-being
The current study extended the literature on social support by examining the differences in the word content of supportive messages using a free online linguistic tool called sentiment analysis and social cognition engine (SEANCE) across multiple lev...

A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals.

Physical and engineering sciences in medicine
This study presents a method with high accuracy performance that aims to automatically detect schizophrenia (SZ) from electroencephalography (EEG) records. Unlike related literature studies using traditional machine learning algorithms, the features ...

The concept of social dignity as a yardstick to delimit ethical use of robotic assistance in the care of older persons.

Medicine, health care, and philosophy
With robots being introduced into caregiving, particularly for older persons, various ethical concerns are raised. Among them is the fear of replacing human caregiving. While ethical concepts like well-being, autonomy, and capabilities are often used...