AIMC Topic: Feasibility Studies
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Deep Learning-enhanced Opportunistic Osteoporosis Screening in Ultralow-Voltage (80 kV) Chest CT: A Preliminary Study.
Academic radiology
May 2, 2025
RATIONALE AND OBJECTIVES: To explore the feasibility of deep learning (DL)-enhanced, fully automated bone mineral density (BMD) measurement using the ultralow-voltage 80 kV chest CT scans performed for lung cancer screening.
Generalizability of Artificial Intelligence Assessments in Laparoscopic Surgery Simulation.
The Journal of surgical research
Apr 24, 2025
INTRODUCTION: The application of artificial intelligence (AI) in the assessment of procedural skills on a simulation platform using the global rating scale (GRS) has shown promise. Our team developed an open-source, low-cost simulation platform for t...
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 ...
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...
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...
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...
Fully Automated Online Adaptive Radiation Therapy Decision-Making for Cervical Cancer Using Artificial Intelligence.
International journal of radiation oncology, biology, physics
Apr 17, 2025
BACKGROUND: Interfraction variations during radiation therapy pose a challenge for patients with cervical cancer, highlighting the benefits of online adaptive radiation therapy (oART). However, adaptation decisions rely on subjective image reviews by...
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...
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...
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
Deep Learning
Big Data
Diarrhea
Humans
Digestive System Diseases
Predictive Learning Models
Databases, Pharmaceutical
Biological Clocks
Electrodiagnosis
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