AIMC Topic: Humans

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Exploring AI identity: The media framing of communicative artificial intelligence in Singapore's news sites.

Public understanding of science (Bristol, England)
Implementing artificial intelligence also requires examinations of public attitudes and perceptions. One approach is by examining media framing of artificial intelligence, including news coverage, which is a reflection of societal perceptions and a k...

Artificial intelligence based semi-automatic segmentation for orbital tumor preoperative modeling.

Orbit (Amsterdam, Netherlands)
PURPOSE: With the increasing utilization of endoscopic approaches for primary benign orbital tumor (PBOT) surgery, otolaryngologists and ophthalmologists are challenged with determining candidacy for endoscopic resection based on preoperative imaging...

Deep learning for named entity recognition in Turkish radiology reports.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: The primary objective of this research is to enhance the accuracy and efficiency of information extraction from radiology reports. In addressing this objective, the study aims to develop and evaluate a deep learning framework for named entit...

MultiKD-DTA: Enhancing Drug-Target Affinity Prediction Through Multiscale Feature Extraction.

Interdisciplinary sciences, computational life sciences
The discovery and development of novel pharmaceutical agents is characterized by high costs, lengthy timelines, and significant safety concerns. Traditional drug discovery involves pharmacologists manually screening drug molecules against protein tar...

AI-powered prostate cancer detection: a multi-centre, multi-scanner validation study.

European radiology
OBJECTIVES: Multi-centre, multi-vendor validation of artificial intelligence (AI) software to detect clinically significant prostate cancer (PCa) using multiparametric magnetic resonance imaging (MRI) is lacking. We compared a new AI solution, valida...

Comprehensive evaluation of pipelines for classification of psychiatric disorders using multi-site resting-state fMRI datasets.

Neural networks : the official journal of the International Neural Network Society
Objective classification biomarkers that are developed using resting-state functional magnetic resonance imaging (rs-fMRI) data are expected to contribute to more effective treatment for psychiatric disorders. Unfortunately, no widely accepted biomar...

Rehabilitation of a Terminal Dentition Patient Using an Immediate Loading Protocol With a Virtual Patient-Assisted Workflow: A Case Report.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
OBJECTIVES: To demonstrate the implementation of a digital workflow for the rehabilitation of a terminal dentition patient with complete-arch implant-supported prostheses.

Segmentation of the nasopalatine canal and detection of canal furcation status with artificial intelligence on cone-beam computed tomography images.

Oral radiology
OBJECTIVES: The nasopalatine canal (NPC) is an anatomical formation with varying morphology. NPC can be visualized using the cone-beam computed tomography (CBCT). Also, CBCT has been used in many studies on artificial intelligence (AI). The "You only...

A novel approach for estimating postmortem intervals under varying temperature conditions using pathology images and artificial intelligence models.

International journal of legal medicine
Estimating the postmortem interval (PMI) is a critical yet complex task in forensic investigations, with accurate and timely determination playing a key role in case resolution and legal outcomes. Traditional methods often suffer from environmental v...