AIMC Topic: Feasibility Studies

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A robotic rehabilitation intervention in a home setting during the Covid-19 outbreak: a feasibility pilot study in patients with stroke.

Journal of neuroengineering and rehabilitation Apr 24, 2025
BACKGROUND: Telerehabilitation allows patients to engage in therapy away from healthcare facilities, often in the comfort of their homes. Studies have suggested that it can effectively improve motor and cognitive function. However, its applicability ...
Robotics Stroke Rehabilitation Telerehabilitation Stroke COVID-19 Humans Male Feasibility Studies Female Exercise Therapy Middle Aged SARS-CoV-2 Patient Satisfaction Pilot Projects Aged Upper Extremity Home Care Services
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Feasibility of human ethomic biomarkers for the diagnosis and monitoring of hip osteoarthritis.

Journal of biomechanics Apr 23, 2025
Radiographic imaging is typically used to diagnose osteoarthritis (OA). However, patients would typically be sent for imaging after they present to a physician because of joint pain. By this time, the condition is likely irreversible. This study aims...
Hip Joint Osteoarthritis, Hip Middle Aged Walking Feasibility Studies Humans Biomarkers Female Aged Adult Biomechanical Phenomena Male
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A machine learning toolkit assisted approach for IMRT fluence map optimization: feasibility and advantages.

Biomedical physics & engineering express Apr 22, 2025
. Traditional machine learning (ML) and deep learning (DL) applications in treatment planning rely on complex model architectures and large, high-quality training datasets. However, they cannot fully replace the conventional optimization process. Thi...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Machine Learning Algorithms Male Deep Learning Head and Neck Neoplasms Prostatic Neoplasms Feasibility Studies
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Breaking down data silos across companies to train genome-wide predictions: A feasibility study in wheat.

Plant biotechnology journal Apr 20, 2025
Big data, combined with artificial intelligence (AI) techniques, holds the potential to significantly enhance the accuracy of genome-wide predictions. Motivated by the success reported for wheat hybrids, we extended the scope to inbred lines by integ...
Artificial Intelligence Phenotype Triticum Feasibility Studies Genome, Plant Plant Breeding Genome-Wide Association Study Genomics Polymorphism, Single Nucleotide Genotype
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Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study.

Journal of medical Internet research Apr 17, 2025
BACKGROUND: Artificial patient technology could transform health care by accelerating diagnosis, treatment, and mapping clinical pathways. Deep learning methods for generating artificial data in health care include data augmentation by variational au...
Humans Deep Learning Feasibility Studies Proof of Concept Study Autoencoder
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Use of Open-Source Large Language Models for Automatic Synthesis of the Entire Imaging Medical Records of Patients: A Feasibility Study.

Tomography (Ann Arbor, Mich.) Apr 16, 2025
BACKGROUND/OBJECTIVES: Reviewing the entire history of imaging exams of a single patient's records is an essential step in clinical practice, but it is time and resource consuming, with potential negative effects on workflow and on the quality of med...
Radiology Information Systems Large Language Models Diagnostic Imaging Humans Workflow Electronic Health Records Feasibility Studies Natural Language Processing Programming Languages
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An application of deep learning model InceptionTime to predict nausea, vomiting, diarrhoea, and constipation using the gastro-intestinal pacemaker activity drug database (GIPADD).

Scientific reports Apr 16, 2025
The accurate preclinical prediction of adverse drug reactions (ADRs), such as nausea and vomiting, remains a challenge. The Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD) ( http://www.gutrhythm.com/public_database ) is a new source of el...
ROC Curve Area Under Curve Feasibility Studies Drug-Related Side Effects and Adverse Reactions Gastrointestinal Tract Constipation Nausea Vomiting Reproducibility of Results Digestive System Diseases Deep Learning Databases, Pharmaceutical Predictive Learning Models Humans Big Data Biological Clocks Diarrhea Electrodiagnosis
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Oxidative Stress Markers and Prediction of Severity With a Machine Learning Approach in Hospitalized Patients With COVID-19 and Severe Lung Disease: Observational, Retrospective, Single-Center Feasibility Study.

JMIR formative research Apr 11, 2025
BACKGROUND: Serious pulmonary pathologies of infectious, viral, or bacterial origin are accompanied by inflammation and an increase in oxidative stress (OS). In these situations, biological measurements of OS are technically difficult to obtain, and ...
Oxidative Stress Feasibility Studies Lung Diseases France Male COVID-19 Middle Aged Biomarkers Severity of Illness Index Humans Retrospective Studies Machine Learning Female SARS-CoV-2 Hospitalization Aged Adult
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Feasibility study of real-time virtual sensing for water quality parameters in river systems using synthetic data and deep learning models.

Journal of environmental management Apr 2, 2025
With water quality management crucial for environmental sustainability, multiple techniques for real-time monitoring and estimation of water quality parameters have been developed. However, certain data types, such as airborne images, are only access...
Deep Learning Environmental Monitoring Water Pollutants, Chemical Carbon Rivers Feasibility Studies Nitrogen Phosphorus Water Quality
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Preliminary phantom study of four-dimensional computed tomographic angiography for renal artery mapping: Low-tube voltage and low-contrast volume imaging with deep learning-based reconstruction.

Radiography (London, England : 1995) Mar 26, 2025
INTRODUCTION: A hybrid angio-CT system with 320-row detectors and deep learning-based reconstruction (DLR), provides additional imaging via 4D-CT angiography (CTA), potentially shortening procedure time and reducing DSA acquisitions, contrast media, ...
Humans Deep Learning Contrast Media Four-Dimensional Computed Tomography Signal-To-Noise Ratio Phantoms, Imaging Computed Tomography Angiography Renal Artery Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Radiation Dosage
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