AIMC Topic: Humans

Clear Filters Showing 50121 to 50130 of 95995 articles

Can an android's posture and movement discriminate against the ambiguous emotion perceived from its facial expressions?

PloS one
Expressing emotions through various modalities is a crucial function not only for humans but also for robots. The mapping method from facial expressions to the basic emotions is widely used in research on robot emotional expressions. This method clai...

DeepFoveaNet: Deep Fovea Eagle-Eye Bioinspired Model to Detect Moving Objects.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Birds of prey especially eagles and hawks have a visual acuity two to five times better than humans. Among the peculiar characteristics of their biological vision are that they have two types of foveae; one shallow fovea used in their binocular visio...

Deep learning-enabled ultra-widefield retinal vessel segmentation with an automated quality-optimized angiographic phase selection tool.

Eye (London, England)
OBJECTIVES: To demonstrate the feasibility of a deep learning-based vascular segmentation tool for UWFA and evaluate its ability to automatically identify quality-optimized phase-specific images.

Diagnostic performance and image quality of deep learning image reconstruction (DLIR) on unenhanced low-dose abdominal CT for urolithiasis.

Acta radiologica (Stockholm, Sweden : 1987)
BACKGROUND: Patients with urolithiasis undergo radiation overexposure from computed tomography (CT) scans. Improvement of image reconstruction is necessary for radiation dose reduction.

Incremental modification of robotic prostatectomy technique can lead to aggregated marginal gains to significantly improve functional outcomes without compromising oncological control.

Journal of robotic surgery
INTRODUCTION AND OBJECTIVES: Surgeons should aim for continuous quality improvement. The aim of this study was to evaluate the impact of incremental changes to Robot Assisted Radical Prostatectomy (RARP) technique on intra-operative and early post-op...

Machine learning versus regression modelling in predicting individual healthcare costs from a representative sample of the nationwide claims database in France.

The European journal of health economics : HEPAC : health economics in prevention and care
BACKGROUND: Innovative provider payment methods that avoid adverse selection and reward performance require accurate prediction of healthcare costs based on individual risk adjustment. Our objective was to compare the performances of a simple neural ...

Shape-Sensing Robotic-Assisted Bronchoscopy in the Diagnosis of Pulmonary Parenchymal Lesions.

Chest
BACKGROUND: The landscape of guided bronchoscopy for the sampling of pulmonary parenchymal lesions is evolving rapidly. Shape-sensing robotic-assisted bronchoscopy (ssRAB) recently was introduced as means to allow successful sampling of traditionally...

Robotic Radical Trachelectomy with Primary Vaginal Closure to Spare Fertility in Young Patients with Early-Stage Cervical Cancer.

Annals of surgical oncology
OBJECTIVE: Our aim was to present the surgical technique of robotic radical trachelectomy (RRT) for early-stage squamous cell cervical cancer in women with a desire to preserve fertility.

Force-guided autonomous robotic ultrasound scanning control method for soft uncertain environment.

International journal of computer assisted radiology and surgery
PURPOSE: Autonomous ultrasound imaging by robotic ultrasound scanning systems in complex soft uncertain clinical environments is important and challenging to assist in therapy. To cope with the complex environment faced by the ultrasound probe during...

Deep learning methods for screening patients' S-ICD implantation eligibility.

Artificial intelligence in medicine
Subcutaneous Implantable Cardioverter-Defibrillators (S-ICDs) are used for prevention of sudden cardiac death triggered by ventricular arrhythmias. T Wave Over Sensing (TWOS) is an inherent risk with S-ICDs which can lead to inappropriate shocks. A m...