AIMC Topic: Humans

Clear Filters Showing 37281 to 37290 of 95995 articles

Developing deep learning methods for classification of teeth in dental panoramic radiography.

Oral surgery, oral medicine, oral pathology and oral radiology
OBJECTIVES: We aimed to develop an artificial intelligence-based clinical dental decision-support system using deep-learning methods to reduce diagnostic interpretation error and time and increase the effectiveness of dental treatment and classificat...

Novel Port Placement in Robot-Assisted DIEP Flap Harvest Improves Visibility and Bilateral DIEP Access: Early Controlled Cohort Study.

Plastic and reconstructive surgery
SUMMARY: To minimize donor-site damage, robot-assisted (RA) deep inferior epigastric perforator (DIEP) flap harvest has been suggested. Current robotic approaches favor port placement, which either does not allow a bilateral DIEP flap harvest through...

Interpretation and clinical utility of indocyanine-green fluorescence imaging (IFI) in robot-assisted anorectal-function saving operations (ASOs): A propensity-score matched analysis of 872 prospectively enroled patients undergoing IFI.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: This study suggested a novel physiological evaluation of indocyanine-green fluorescence imaging (IFI), and its utility associated with anastomotic leakage/stricture (AL/AS) and prognosis.

Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-level.

Ultrasonics
Automated ultrasound imaging assessment of the effect of CoronaVirus disease 2019 (COVID-19) on lungs has been investigated in various studies using artificial intelligence-based (AI) methods. However, an extensive analysis of state-of-the-art Convol...

Artificial intelligence-based diagnosis of acute pulmonary embolism: Development of a machine learning model using 12-lead electrocardiogram.

Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology
INTRODUCTION: Pulmonary embolism (PE) is a life-threatening condition, in which diagnostic uncertainty remains high given the lack of specificity in clinical presentation. It requires confirmation by computed tomography pulmonary angiography (CTPA). ...

Percutaneous robot-assisted screw fixation for nondisplaced pelvic fractures: a good choice?

International orthopaedics
PURPOSE: To compare the merits and demerits of percutaneous robot-assisted screw fixation for nondisplaced pelvic fractures with other treatments via long-term follow-up.

Leveraging deep learning to improve vaccine design.

Trends in immunology
Deep learning has led to incredible breakthroughs in areas of research, from self-driving vehicles to solutions, to formal mathematical proofs. In the biomedical sciences, however, the revolutionary results seen in other fields are only now beginning...

Detection of spermatogonial stem/progenitor cells in prepubertal mouse testis with deep learning.

Journal of assisted reproduction and genetics
PURPOSE: Rapid and easy detection of spermatogonial stem/progenitor cells (SSPCs) is crucial for clinicians dealing with male infertility caused by prepubertal testicular damage. Deep learning (DL) methods may offer visual tools for tracking SSPCs on...

Comparison of Machine Learning Models for Brain Age Prediction Using Six Imaging Modalities on Middle-Aged and Older Adults.

Sensors (Basel, Switzerland)
Machine learning (ML) has transformed neuroimaging research by enabling accurate predictions and feature extraction from large datasets. In this study, we investigate the application of six ML algorithms (Lasso, relevance vector regression, support v...

Managing Security of Healthcare Data for a Modern Healthcare System.

Sensors (Basel, Switzerland)
The advent of Artificial Intelligence (AI) and the Internet of Things (IoT) have recently created previously unimaginable opportunities for boosting clinical and patient services, reducing costs and improving community health. Yet, a fundamental chal...