AIMC Topic: Research Design

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DECIDE-AI: a new reporting guideline and its relevance to artificial intelligence studies in radiology.

Clinical radiology Feb 1, 2023
DECIDE-AI is a new, stage-specific reporting guideline for the early and live clinical evaluation of decision-support systems based on artificial intelligence (AI). It answers a need for more attention to the human factors influencing clinical AI per...
Humans Artificial Intelligence Radiology Radiologists Radiography Research Design
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A review of methods for predicting DNA N6-methyladenine sites.

Briefings in bioinformatics Jan 19, 2023
Deoxyribonucleic acid(DNA) N6-methyladenine plays a vital role in various biological processes, and the accurate identification of its site can provide a more comprehensive understanding of its biological effects. There are several methods for 6mA si...
DNA Machine Learning DNA Methylation Research Design
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Natural History and Real-World Data in Rare Diseases: Applications, Limitations, and Future Perspectives.

Journal of clinical pharmacology Dec 1, 2022
Rare diseases represent a highly heterogeneous group of disorders with high phenotypic and genotypic diversity within individual conditions. Due to the small numbers of people affected, there are unique challenges in understanding rare diseases and d...
Humans Artificial Intelligence Rare Diseases Disease Progression Research Design Drug Development
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A systematic review of robot-assisted cholecystectomy to examine the quality of reporting in relation to the IDEAL recommendations: systematic review.

BJS open Sep 2, 2022
INTRODUCTION: Robotic cholecystectomy (RC) is a recent innovation in minimally invasive gallbladder surgery. The IDEAL (idea, development, exploration, assessment, long-term study) framework aims to provide a safe method for evaluating innovative pro...
Prospective Studies Retrospective Studies Research Design Cholecystectomy Robotics Humans
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[A protein complex recognition method based on spatial-temporal graph convolution neural network].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jul 20, 2022
OBJECTIVE: To propose a new method for mining complexes in dynamic protein network using spatiotemporal convolution neural network.
Computer Simulation Cluster Analysis Algorithms Research Design Neural Networks, Computer
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CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Cellular Thermal Shift Assay (CETSA) has been widely used in drug discovery, cancer cell biology, immunology, etc. One of the barriers for CETSA applications is that CETSA experiments have to be conducted on various cell lines, which is extremely tim...
Drug Discovery Research Design Proteins Neural Networks, Computer Cell Line
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Local Explanation-Based Method for Healthcare Risk Stratification.

Studies in health technology and informatics May 25, 2022
Decision support tools in healthcare require a strong confidence in the developed Machine Learning (ML) models both in terms of performances and in their ability to provide users a deeper understanding of the underlying situation. This study presents...
Research Design Delivery of Health Care Machine Learning Health Facilities Humans Risk Assessment
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Knowledge-based BERT: a method to extract molecular features like computational chemists.

Briefings in bioinformatics May 13, 2022
Molecular property prediction models based on machine learning algorithms have become important tools to triage unpromising lead molecules in the early stages of drug discovery. Compared with the mainstream descriptor- and graph-based methods for mol...
Machine Learning Research Design Algorithms Humans Knowledge Bases Pharmaceutical Preparations
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Artificial Intelligence for Computer Vision in Surgery: A Call for Developing Reporting Guidelines.

Annals of surgery Apr 1, 2022
Research Design Computers Artificial Intelligence Humans
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TF-Unet:An automatic cardiac MRI image segmentation method.

Mathematical biosciences and engineering : MBE Mar 22, 2022
Personalized heart models are widely used to study the mechanisms of cardiac arrhythmias and have been used to guide clinical ablation of different types of arrhythmias in recent years. MRI images are now mostly used for model building. In cardiac mo...
Magnetic Resonance Imaging Research Design Heart Image Processing, Computer-Assisted Neural Networks, Computer
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