AIMC Topic: Pilot Projects

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Ultra-low-dose computed tomography with deep learning reconstruction for craniosynostosis at radiation doses comparable to skull radiographs: a pilot study.

Pediatric radiology Jul 25, 2023
BACKGROUND: Craniofacial computed tomography (CT) is the diagnostic investigation of choice for craniosynostosis, but high radiation dose remains a concern.
Humans Algorithms Tomography, X-Ray Computed Child Craniosynostoses Radiographic Image Interpretation, Computer-Assisted Deep Learning Pilot Projects Radiation Dosage Skull
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Deep learning neural network derivation and testing to distinguish acute poisonings.

Expert opinion on drug metabolism & toxicology Jul 17, 2023
INTRODUCTION: Acute poisoning is a significant global health burden, and the causative agent is often unclear. The primary aim of this pilot study was to develop a deep learning algorithm that predicts the most probable agent a poisoned patient was e...
Diphenhydramine Humans Acetaminophen Deep Learning Neural Networks, Computer Pilot Projects Lithium Calcium Channel Blockers
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Pharmacovariome scanning using whole pharmacogene resequencing coupled with deep computational analysis and machine learning for clinical pharmacogenomics.

Human genomics Jul 14, 2023
BACKGROUND: This pilot study aims to identify and functionally assess pharmacovariants in whole exome sequencing data. While detection of known variants has benefited from pharmacogenomic-dedicated bioinformatics tools before, in this paper we have t...
Artificial Intelligence Pilot Projects Pharmacogenetics Sequence Analysis, DNA Machine Learning Algorithms
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Machine learning to predict curative multidisciplinary team treatment decisions in oesophageal cancer.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Jul 13, 2023
BACKGROUND: Rising workflow pressures within the oesophageal cancer (OC) multidisciplinary team (MDT) can lead to variability in decision-making, and health inequality. Machine learning (ML) offers a potential automated data-driven approach to addres...
Health Status Disparities Patient Care Team Pilot Projects Esophageal Neoplasms Retrospective Studies Humans Aged Artificial Intelligence Aged, 80 and over Adult Machine Learning Middle Aged
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A Pilot Study: Detrusor Overactivity Diagnosis Method Based on Deep Learning.

Urology Jun 13, 2023
OBJECTIVE: To develop two intelligent diagnosis models of detrusor overactivity (DO) based on deep learning to assist doctors no longer heavily rely on visual observation of urodynamic study (UDS) curves.
Neural Networks, Computer Machine Learning Humans Pilot Projects Physicians Deep Learning
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Robot-Assisted Transarterial Chemoembolization of Hepatocellular Carcinoma Using a Coaxial Microcatheter Driving Controller-Responder Robot System: Clinical Pilot Study.

Journal of vascular and interventional radiology : JVIR Jun 9, 2023
PURPOSE: To evaluate the feasibility and safety of robot-assisted transarterial chemoembolization (TACE) for hepatocellular carcinoma (HCC) using a new coaxial microcatheter driving controller-responder robot (CRR) system.
Retrospective Studies Robotics Carcinoma, Hepatocellular Aged Chemoembolization, Therapeutic Humans Pilot Projects Treatment Outcome Prospective Studies Middle Aged Liver Neoplasms
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Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography.

European radiology Jun 2, 2023
OBJECTIVE: To examine whether incorrect AI results impact radiologist performance, and if so, whether human factors can be optimized to reduce error.
Radiography Radiologists Humans Artificial Intelligence Pilot Projects Lung Neoplasms Retrospective Studies
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Using artificial intelligence models to evaluate envisaged points initially: A pilot study.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine May 21, 2023
The morphology of the finger bones in hand-wrist radiographs (HWRs) can be considered as a radiological skeletal maturity indicator, along with the other indicators. This study aims to validate the anatomical landmarks envisaged to be used for classi...
Neural Networks, Computer Artificial Intelligence Pilot Projects Hand Radiography
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Accurate gingival segmentation from 3D images with artificial intelligence: an animal pilot study.

Progress in orthodontics May 1, 2023
BACKGROUND: Gingival phenotype plays an important role in dental diagnosis and treatment planning. Traditionally, determining the gingival phenotype is done by manual probing of the gingival soft tissues, an invasive and time-consuming procedure. Thi...
Mandible Gingiva Pilot Projects Cone-Beam Computed Tomography Imaging, Three-Dimensional Animals Swine Artificial Intelligence
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Methodological information extraction from randomized controlled trial publications: a pilot study.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 29, 2023
Most biomedical information extraction (IE) approaches focus on entity types such as diseases, drugs, and genes, and relations such as gene-disease associations. In this paper, we introduce the task of methodological IE to support fine-grained qualit...
Information Storage and Retrieval Pilot Projects Humans Natural Language Processing Machine Learning
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