AIMC Topic: Patient-Specific Modeling

Clear Filters Showing 1 to 10 of 31 articles

AI-Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Dec 12, 2024
Aortic stenosis (AS) is the most common valvular heart disease in developed countries. High-fidelity preclinical models can improve AS management by enabling therapeutic innovation, early diagnosis, and tailored treatment planning. However, their use...
Humans Patient-Specific Modeling Tomography, X-Ray Computed Hemodynamics Aortic Valve Stenosis Models, Cardiovascular Artificial Intelligence Algorithms Computer Simulation
View on PubMed DOI

Artificial Intelligence-Driven Patient Selection for Preoperative Portal Vein Embolization for Patients with Colorectal Cancer Liver Metastases.

Journal of vascular and interventional radiology : JVIR Dec 3, 2024
PURPOSE: To develop a machine learning algorithm to improve hepatic resection selection for patients with metastatic colorectal cancer (CRC) by predicting post-portal vein embolization (PVE) outcomes.
Colorectal Neoplasms Male Middle Aged Liver Neoplasms Reproducibility of Results Aged Humans Adult Machine Learning Embolization, Therapeutic Decision Support Techniques Portal Vein Retrospective Studies Patient-Specific Modeling Clinical Decision-Making Liver Regeneration Female Treatment Outcome Predictive Value of Tests Patient Selection Hepatectomy
View on PubMed DOI

Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data.

Annual review of biomedical engineering Jun 20, 2024
Despite the remarkable advances in cancer diagnosis, treatment, and management over the past decade, malignant tumors remain a major public health problem. Further progress in combating cancer may be enabled by personalizing the delivery of therapies...
Humans Big Data Models, Biological Patient-Specific Modeling Artificial Intelligence Computer Simulation Precision Medicine Neoplasms
View on PubMed DOI

Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning.

IEEE transactions on medical imaging Jan 2, 2024
Automated volumetric meshing of patient-specific heart geometry can help expedite various biomechanics studies, such as post-intervention stress estimation. Prior meshing techniques often neglect important modeling characteristics for successful down...
Deep Learning Heart Patient-Specific Modeling Humans Computer Simulation Biomechanical Phenomena
View on PubMed DOI

Surgical planning of arteriovenous fistulae in routine clinical practice: A machine learning predictive tool.

The journal of vascular access Feb 10, 2023
BACKGROUND: Arteriovenous fistula (AVF) is the preferred vascular access (VA) for hemodialysis, but it is associated with high non-maturation and failure rates. Predicting patient-specific AVF maturation and postoperative changes in blood flow volume...
Blood Flow Velocity Arteriovenous Shunt, Surgical Graft Occlusion, Vascular Vascular Patency Upper Extremity Models, Cardiovascular Patient-Specific Modeling Time Factors Treatment Outcome Predictive Value of Tests Regional Blood Flow Male Middle Aged Renal Dialysis Machine Learning Decision Support Techniques Databases, Factual Clinical Decision-Making Retrospective Studies Female Humans Reproducibility of Results Aged
View on PubMed DOI

Precision medicine using patient-specific modelling: state of the art and perspectives in dental practice.

Clinical oral investigations Jun 10, 2022
The dental practice has largely evolved in the last 50 years following a better understanding of the biomechanical behaviour of teeth and its supporting structures, as well as developments in the fields of imaging and biomaterials. However, many pati...
Cone-Beam Computed Tomography Humans Surgery, Oral Artificial Intelligence Patient-Specific Modeling Precision Medicine
View on PubMed DOI

Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond.

Annals of biomedical engineering Apr 20, 2022
Recent progress in machine learning (ML), together with advanced computational power, have provided new research opportunities in cardiovascular modeling. While classifying patient outcomes and medical image segmentation with ML have already shown si...
Biomechanical Phenomena Lung Cardiovascular System Patient-Specific Modeling Humans Machine Learning
View on PubMed DOI

Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modeling of Hemodynamics.

IEEE journal of biomedical and health informatics Apr 14, 2022
Image-based patient-specific modelling of hemodynamics are gaining increased popularity as a diagnosis and outcome prediction solution for a variety of cardiovascular diseases. While their potential to improve diagnostic capabilities and thereby clin...
Humans Computer Simulation Hemodynamics Deep Learning Aorta Models, Cardiovascular Patient-Specific Modeling
View on PubMed DOI

Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models.

Circulation. Arrhythmia and electrophysiology Jan 28, 2022
BACKGROUND: Current ablation therapy for atrial fibrillation is suboptimal, and long-term response is challenging to predict. Clinical trials identify bedside properties that provide only modest prediction of long-term response in populations, while ...
Treatment Outcome Magnetic Resonance Imaging Action Potentials Electrocardiography, Ambulatory Humans Machine Learning Risk Factors Atrial Remodeling Recurrence Fibrosis Risk Assessment Atrial Function, Left Atrial Fibrillation Time Factors Models, Cardiovascular Heart Rate Patient-Specific Modeling Catheter Ablation
View on PubMed DOI

Forecasting of Patient-Specific Kidney Transplant Function With a Sequence-to-Sequence Deep Learning Model.

JAMA network open Dec 1, 2021
IMPORTANCE: Like other clinical biomarkers, trajectories of estimated glomerular filtration rate (eGFR) after kidney transplant are characterized by intra-individual variability. These fluctuations hamper the distinction between alarming graft functi...
Deep Learning Female Cohort Studies Humans Decision Making Glomerular Filtration Rate Reproducibility of Results Forecasting Patient-Specific Modeling Male Kidney Transplantation Middle Aged
View on PubMed DOI
Popular Topics
Recent Journals