AIMC Topic: Humans

Clear Filters Showing 55961 to 55970 of 95995 articles

A Deep Learning-Based Approach for the Detection of Early Signs of Gingivitis in Orthodontic Patients Using Faster Region-Based Convolutional Neural Networks.

International journal of environmental research and public health
Computer-based technologies play a central role in the dentistry field, as they present many methods for diagnosing and detecting various diseases, such as periodontitis. The current study aimed to develop and evaluate the state-of-the-art object det...

Separability of Acute Cerebral Infarction Lesions in CT Based Radiomics: Toward Artificial Intelligence-Assisted Diagnosis.

BioMed research international
This study aims at analyzing the separability of acute cerebral infarction lesions which were invisible in CT. 38 patients, who were diagnosed with acute cerebral infarction and performed both CT and MRI, and 18 patients, who had no positive finding ...

DeepSIBA: chemical structure-based inference of biological alterations using deep learning.

Molecular omics
Predicting whether a chemical structure leads to a desired or adverse biological effect can have a significant impact for in silico drug discovery. In this study, we developed a deep learning model where compound structures are represented as graphs ...

Thyroid nodules risk stratification through deep learning based on ultrasound images.

Medical physics
PURPOSE: Clinically, the risk stratification of thyroid nodules is usually used to formulate the next treatment plan. The American College of Radiology (ACR) thyroid imaging reporting and data system (TI-RADS) is a type of medical standard widely use...

An Automated Planning Model for HRI: Use Cases on Social Assistive Robotics.

Sensors (Basel, Switzerland)
Using Automated Planning for the high level control of robotic architectures is becoming very popular thanks mainly to its capability to define the tasks to perform in a declarative way. However, classical planning tasks, even in its basic standard P...

Robot dramas may improve joint attention of Chinese-speaking low-functioning children with autism: stepped wedge trials.

Disability and rehabilitation. Assistive technology
INTRODUCTION: Children with autism spectrum disorder (ASD), especially those with low cognitive functioning, have deficits in joint attention. Previous research has found that these children are interested in engaging with social robots.

Detection of multiple lesions of gastrointestinal tract for endoscopy using artificial intelligence model: a pilot study.

Surgical endoscopy
BACKGROUND: This study was aimed to develop a computer-aided diagnosis (CAD) system with deep-learning technique and to validate its efficiency on detecting the four categories of lesions such as polyps, advanced cancer, erosion/ulcer and varices at ...

Shared decision-making and maternity care in the deep learning age: Acknowledging and overcoming inherited defeaters.

Journal of evaluation in clinical practice
In recent years there has been an explosion of interest in Artificial Intelligence (AI) both in health care and academic philosophy. This has been due mainly to the rise of effective machine learning and deep learning algorithms, together with increa...