AIMC Topic: Reproducibility of Results

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Measurement of interspinous motion in dynamic cervical radiographs using a deep learning-based segmentation model.

Journal of neurosurgery. Spine
OBJECTIVE: Interspinous motion (ISM) is a representative method for evaluating the functional fusion status following anterior cervical discectomy and fusion (ACDF) surgery, but the associated measuring difficulty and potential errors in the clinical...

Validation of a Salivary miRNA Signature of Endometriosis - Interim Data.

NEJM evidence
BACKGROUND: The discovery of a saliva-based micro–ribonucleic acid (miRNA) signature for endometriosis in 2022 opened up new perspectives for early and noninvasive diagnosis of the disease. The 109-miRNA saliva signature is the product of miRNA bioma...

Advances in Image-Based Artificial Intelligence in Otorhinolaryngology-Head and Neck Surgery: A Systematic Review.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
OBJECTIVE: To update the literature and provide a systematic review of image-based artificial intelligence (AI) applications in otolaryngology, highlight its advances, and propose future challenges.

Energy differences as descriptors for the correlation between and in nonfullerene organic photovoltaics.

Chemical communications (Cambridge, England)
ITIC-series nonfullerene organic photovoltaics (NF OPVs) have realized the simultaneous increases of the short-circuit current density () and open-circuit voltage (), called the positive correlation between and , which could improve the power conver...

Information-Driven Gas Distribution Mapping for Autonomous Mobile Robots.

Sensors (Basel, Switzerland)
The ability to sense airborne pollutants with mobile robots provides a valuable asset for domains such as industrial safety and environmental monitoring. Oftentimes, this involves detecting how certain gases are spread out in the environment, commonl...

Deep Learning Model for Automated Trainee Assessment During High-Fidelity Simulation.

Academic medicine : journal of the Association of American Medical Colleges
PROBLEM: Implementation of competency-based medical education has necessitated more frequent trainee assessments. Use of simulation as an assessment tool is limited by access to trained examiners, cost, and concerns with interrater reliability. Devel...

Target Detection-Based Control Method for Archive Management Robot.

Sensors (Basel, Switzerland)
With increasing demand for efficient archive management, robots have been employed in paper-based archive management for large, unmanned archives. However, the reliability requirements of such systems are high due to their unmanned nature. To address...

Deep learning model for automatic image quality assessment in PET.

BMC medical imaging
BACKGROUND: A variety of external factors might seriously degrade PET image quality and lead to inconsistent results. The aim of this study is to explore a potential PET image quality assessment (QA) method with deep learning (DL).

Deep learning phase error correction for cerebrovascular 4D flow MRI.

Scientific reports
Background phase errors in 4D Flow MRI may negatively impact blood flow quantification. In this study, we assessed their impact on cerebrovascular flow volume measurements, evaluated the benefit of manual image-based correction, and assessed the pote...

Triplet-Net Classification of Contiguous Stem Cell Microscopy Images.

IEEE/ACM transactions on computational biology and bioinformatics
Cellular microscopy imaging is a common form of data acquisition for biological experimentation. Observation of gray-level morphological features allows for the inference of useful biological information such as cellular health and growth status. Cel...