AIMC Topic: Cross-Sectional Studies

Clear Filters Showing 571 to 580 of 1382 articles

Knowledge and Perception of the Use of AI and its Implementation in the Field of Radiology: Cross-Sectional Study.

Journal of medical Internet research Oct 13, 2023
BACKGROUND: Artificial Intelligence (AI) has been developing for decades, but in recent years its use in the field of health care has experienced an exponential increase. Currently, there is little doubt that these tools have transformed clinical pra...
Humans Artificial Intelligence Cross-Sectional Studies Radiography Radiology Female Adult Perception
View on PubMed DOI

Convolutional neural network misclassification analysis in oral lesions: an error evaluation criterion by image characteristics.

Oral surgery, oral medicine, oral pathology and oral radiology Oct 11, 2023
OBJECTIVE: This retrospective study analyzed the errors generated by a convolutional neural network (CNN) when performing automated classification of oral lesions according to their clinical characteristics, seeking to identify patterns in systemic e...
Retrospective Studies Cross-Sectional Studies Humans Neural Networks, Computer
View on PubMed DOI

Evaluation of a novel real-time adaptive assist-as-needed controller for robot-assisted upper extremity rehabilitation following stroke.

PloS one Oct 11, 2023
Rehabilitation therapy plays an essential role in assisting people with stroke regain arm function. Upper extremity robot therapy offers a number of advantages over manual therapies, but can suffer from slacking behavior, where the user lets the robo...
Cross-Sectional Studies Treatment Outcome Stroke Humans Recovery of Function Robotics Upper Extremity Stroke Rehabilitation
View on PubMed DOI

Assessing the ability of an artificial intelligence chatbot to translate dermatopathology reports into patient-friendly language: A cross-sectional study.

Journal of the American Academy of Dermatology Oct 5, 2023
Artificial Intelligence Software Cross-Sectional Studies Humans
View on PubMed DOI

An interpretable machine learning model of cross-sectional U.S. county-level obesity prevalence using explainable artificial intelligence.

PloS one Oct 5, 2023
BACKGROUND: There is considerable geographic heterogeneity in obesity prevalence across counties in the United States. Machine learning algorithms accurately predict geographic variation in obesity prevalence, but the models are often uninterpretable...
Prevalence United States Obesity Machine Learning Humans Cross-Sectional Studies Artificial Intelligence
View on PubMed DOI

The role of corporate social responsibility and government incentives in installing industrial wastewater treatment plants: SEM-ANN deep learning approach.

Scientific reports Oct 2, 2023
Contaminated industrial wastewater is one of the severe causes of health diseases. The wastewater treatment trend in developing countries is less, and governments are not strictly pursuing the wastewater management protocols adopted by firms. To stud...
Deep Learning Social Responsibility Water Purification Government Wastewater Cross-Sectional Studies Motivation
View on PubMed DOI

Accuracy and Reliability of Chatbot Responses to Physician Questions.

JAMA network open Oct 2, 2023
IMPORTANCE: Natural language processing tools, such as ChatGPT (generative pretrained transformer, hereafter referred to as chatbot), have the potential to radically enhance the accessibility of medical information for health professionals and patien...
Humans Physicians Reproducibility of Results Artificial Intelligence Cross-Sectional Studies Software
View on PubMed DOI

A Fuzzy Clustering Approach to Identify Pedestrians' Traffic Behavior Patterns.

Journal of research in health sciences Sep 29, 2023
BACKGROUND: Pattern recognition of pedestrians' traffic behavior can enhance the management efficiency of interested groups by targeting access to them and facilitating planning via more specific surveys. This study aimed to evaluate the pedestrians'...
Surveys and Questionnaires Safety Cluster Analysis Cross-Sectional Studies Pedestrians Walking Humans Male Accidents, Traffic Adult
View on PubMed DOI

Evaluation of height prediction models: from traditional methods to artificial intelligence.

Pediatric research Sep 21, 2023
BACKGROUND: Traditional methods for predicting adult height (AHP) rely on manual readings of bone age (BA). However, the incorporation of artificial intelligence has recently improved the accuracy of BA readings and their incorporation into AHP model...
Mexico Body Height Age Determination by Skeleton Male Child Adult Cross-Sectional Studies Artificial Intelligence Female Humans
View on PubMed DOI

Autologous Transplantation Tooth Guide Design Based on Deep Learning.

Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons Sep 20, 2023
BACKGROUND: Autologous tooth transplantation requires precise surgical guide design, involving manual tracing of donor tooth contours based on patient cone-beam computed tomography (CBCT) scans. While manual corrections are time-consuming and prone t...
Transplantation, Autologous Humans Cross-Sectional Studies Cone-Beam Computed Tomography Tooth Retrospective Studies Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals