AIMC Topic: Pilot Projects

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A pilot study for fragment identification using 2D NMR and deep learning.

Magnetic resonance in chemistry : MRC Sep 21, 2021
This paper presents a proof of concept of a method to identify substructures in 2D NMR spectra of mixtures using a bespoke image-based convolutional neural network application. This is done using HSQC and HMBC spectra separately and in combination. T...
Deep Learning Pilot Projects Magnetic Resonance Imaging Magnetic Resonance Spectroscopy
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Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study.

Clinical & experimental metastasis Sep 17, 2021
Histopathological growth patterns (HGPs) are independent prognosticators for colorectal liver metastases (CRLM). Currently, HGPs are determined postoperatively. In this study, we evaluated radiomics for preoperative prediction of HGPs on computed tom...
Humans Deep Learning Tomography, X-Ray Computed Male Aged Female Pilot Projects Middle Aged Colorectal Neoplasms Liver Neoplasms
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A deep learning approach for successful big-bubble formation prediction in deep anterior lamellar keratoplasty.

Scientific reports Sep 17, 2021
The efficacy of deep learning in predicting successful big-bubble (SBB) formation during deep anterior lamellar keratoplasty (DALK) was evaluated. Medical records of patients undergoing DALK at the University of Cologne, Germany between March 2013 an...
Aged Adult Cornea Male Humans Retrospective Studies Female Keratoconus Middle Aged Biometry Deep Learning Corneal Transplantation Pilot Projects
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Artificial intelligence for automatic diagnosis of biliary stricture malignancy status in single-operator cholangioscopy: a pilot study.

Gastrointestinal endoscopy Sep 8, 2021
BACKGROUND AND AIMS: The diagnosis and characterization of biliary strictures (BSs) is challenging. The introduction of digital single-operator cholangioscopy (DSOC) that allows direct visual inspection of the lesion and targeted biopsy sampling sign...
Humans Artificial Intelligence Pilot Projects Constriction, Pathologic Endoscopy, Digestive System Biliary Tract Neoplasms
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Accurate diagnosis of sepsis using a neural network: Pilot study using routine clinical variables.

Computer methods and programs in biomedicine Aug 31, 2021
BACKGROUND AND OBJECTIVES: Sepsis is a severe infection that increases mortality risk and is one if the main causes of death in intensive care units. Accurate detection is key to successful interventions, but diagnosis of sepsis is complicated becaus...
Neural Networks, Computer Artificial Intelligence Humans Retrospective Studies Intensive Care Units Pilot Projects Cross-Sectional Studies Sepsis
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Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary data.

Diabetes & metabolic syndrome Aug 28, 2021
AIMS: This research work presented a comparative study of machine learning (ML), including two objectives: (i) determination of the risk factors of diabetic nephropathy (DN) based on principal component analysis (PCA) via different cutoffs; (ii) pred...
Principal Component Analysis Bayes Theorem Diabetic Nephropathies Support Vector Machine Follow-Up Studies Case-Control Studies Pilot Projects Diabetes Mellitus, Type 2 Machine Learning Prognosis Humans Middle Aged Female Reproducibility of Results Risk Assessment Male
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Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT.

Korean journal of radiology Aug 19, 2021
OBJECTIVE: The purpose of this study was to assess whether a deep learning (DL) algorithm could enable simultaneous noise reduction and edge sharpening in low-dose lumbar spine CT.
Pilot Projects Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Male Middle Aged Deep Learning Humans Tomography, X-Ray Computed Female Algorithms Retrospective Studies
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Sexing white 2D footprints using convolutional neural networks.

PloS one Aug 18, 2021
Footprints are left, or obtained, in a variety of scenarios from crime scenes to anthropological investigations. Determining the sex of a footprint can be useful in screening such impressions and attempts have been made to do so using single or multi...
Walking Aged, 80 and over Sex Factors Algorithms Young Adult Foot Male Female Adult Middle Aged Adolescent Humans Aged Pilot Projects Imaging, Three-Dimensional Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning
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Personalized Exercise Programs Based upon Remote Assessment of Motor Fitness: A Pilot Study among Healthy People Aged 65 Years and Older.

Gerontology Aug 17, 2021
BACKGROUND: The World Health Organization has recently updated exercise guidelines for people aged >65 years, emphasizing the inclusion of multiple fitness components. However, without adequate recognition of individual differences, these guidelines ...
Male Exercise Pilot Projects Female Humans Exercise Therapy Artificial Intelligence Aged Aged, 80 and over
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Deep Learning in the Detection of Rare Fractures - Development of a "Deep Learning Convolutional Network" Model for Detecting Acetabular Fractures.

Zeitschrift fur Orthopadie und Unfallchirurgie Jul 26, 2021
BACKGROUND: Fracture detection by artificial intelligence and especially Deep Convolutional Neural Networks (DCNN) is a topic of growing interest in current orthopaedic and radiological research. As learning a DCNN usually needs a large amount of tra...
Algorithms Deep Learning Pilot Projects Spinal Fractures Hip Fractures Humans Neural Networks, Computer Artificial Intelligence
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