AIMC Topic: Humans

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Artificial intelligence in forensic medicine and forensic dentistry.

The Journal of forensic odonto-stomatology
This review article aims to highlight the current possibilities for applying Artificial Intelligence in modern forensic medicine and forensic dentistry and present the advantages and disadvantages of its use. For this purpose, the relevant academic l...

The (Im)perfect Automation Schema: Who Is Trusted More, Automated or Human Decision Support?

Human factors
OBJECTIVE: This study's purpose was to better understand the dynamics of trust attitude and behavior in human-agent interaction.

Review and perspective on bioinformatics tools using machine learning and deep learning for predicting antiviral peptides.

Molecular diversity
Viruses constitute a constant threat to global health and have caused millions of human and animal deaths throughout human history. Despite advances in the discovery of antiviral compounds that help fight these pathogens, finding a solution to this p...

Correlation of urinary continence recovery with various factors after Robot assisted radical prostatectomy.

Urologia
BACKGROUND: In addition to ensuring cancer control, prevention of incontinence which significantly impact patients' quality of life, is also an important issue in robot-assisted radical prostatectomy (RARP) operations. In this study, we aimed to find...

Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
We developed a deep learning framework to accurately predict the lymph node status of patients with cervical cancer based on hematoxylin and eosin-stained pathological sections of the primary tumor. In total, 1524 hematoxylin and eosin-stained whole ...

Automatic detection and segmentation of chorda tympani under microscopic vision in otosclerosis patients via convolutional neural networks.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Artificial intelligence (AI) techniques, especially deep learning (DL) techniques, have shown promising results for various computer vision tasks in the field of surgery. However, AI-guided navigation during microscopic surgery for real-t...

Deep learning-based detection and classification of multi-leaf collimator modeling errors in volumetric modulated radiation therapy.

Journal of applied clinical medical physics
PURPOSE: The purpose of this study was to create and evaluate deep learning-based models to detect and classify errors of multi-leaf collimator (MLC) modeling parameters in volumetric modulated radiation therapy (VMAT), namely the transmission factor...

Efficacy and safety of robot-assisted versus fluoroscopy-assisted PKP or PVP for osteoporotic vertebral compression fractures: a systematic review and meta-analysis.

Journal of robotic surgery
Percutaneous vertebral augmentation (PVA), which includes percutaneous kyphoplasty (PKP) and percutaneous vertebroplasty (PVP). Robot-assisted (RA) and fluoroscopy-assisted (FA) are important methods for treating osteoporotic vertebral compression fr...

Intra-operative ultrasound assessment of the biliary tree during robotic cholecystectomy.

Journal of robotic surgery
Image-guided assessment of bile ducts and associated anatomy during laparoscopic cholecystectomy can be achieved with intra-operative cholangiography (IOC) or laparoscopic ultrasound (LUS). Rates of robotically assisted cholecystectomy (RC) are incre...