AIMC Topic: Abdomen

Clear Filters Showing 21 to 30 of 240 articles

Artificial intelligence system for identification of overlooked lung metastasis in abdominopelvic computed tomography scans of patients with malignancy.

Diagnostic and interventional radiology (Ankara, Turkey) Sep 9, 2024
PURPOSE: This study aimed to evaluate whether an artificial intelligence (AI) system can identify basal lung metastatic nodules examined using abdominopelvic computed tomography (CT) that were initially overlooked by radiologists.
Female Aged Aged, 80 and over Adult Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed ROC Curve Lung Neoplasms Abdomen Pelvis Radiography, Abdominal Sensitivity and Specificity Male Middle Aged Lung
View on PubMed DOI

Impact of Emerging Deep Learning-Based MR Image Reconstruction Algorithms on Abdominal MRI Radiomic Features.

Journal of computer assisted tomography Aug 22, 2024
OBJECTIVE: This study aims to evaluate, on one MRI vendor's platform, the impact of deep learning (DL)-based reconstruction techniques on MRI radiomic features compared to conventional image reconstruction techniques.
Abdomen Magnetic Resonance Imaging Adolescent Child, Preschool Child Image Processing, Computer-Assisted Prospective Studies Female Aged Young Adult Male Middle Aged Deep Learning Humans Adult Radiomics Algorithms
View on PubMed DOI

Fast prediction of personalized abdominal organ doses from CT examinations by radiomics feature-based machine learning models.

Scientific reports Aug 20, 2024
The X-rays emitted during CT scans can increase solid cancer risks by damaging DNA, with the risk tied to patient-specific organ doses. This study aims to establish a new method to predict patient specific abdominal organ doses from CT examinations u...
Humans Machine Learning Aged Adult Radiomics Male Middle Aged Software Precision Medicine Tomography, X-Ray Computed Female Abdomen Radiation Dosage Monte Carlo Method Radiography, Abdominal
View on PubMed DOI

The Role of Preoperative Abdominal Ultrasound in the Preparation of Patients Undergoing Primary Metabolic and Bariatric Surgery: A Machine Learning Algorithm on 4418 Patients' Records.

Obesity surgery Aug 8, 2024
BACKGROUND: The utility of preoperative abdominal ultrasonography (US) in evaluating patients with obesity before metabolic bariatric surgery (MBS) remains ambiguously defined.
Female Adult Male Middle Aged Humans Ultrasonography Machine Learning Abdomen Algorithms Retrospective Studies Bariatric Surgery Obesity, Morbid Preoperative Care
View on PubMed DOI

Clinical feasibility of deep learning based synthetic contrast enhanced abdominal CT in patients undergoing non enhanced CT scans.

Scientific reports Jul 31, 2024
Our objective was to develop and evaluate the clinical feasibility of deep-learning-based synthetic contrast-enhanced computed tomography (DL-SynCCT) in patients designated for nonenhanced CT (NECT). We proposed a weakly supervised learning with the ...
Female Aged Aged, 80 and over Adult Deep Learning Abdomen Contrast Media Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Humans Feasibility Studies Retrospective Studies Radiography, Abdominal Tomography, X-Ray Computed
View on PubMed DOI

Prospective Deployment of Deep Learning Reconstruction Facilitates Highly Accelerated Upper Abdominal MRI.

Academic radiology Jul 2, 2024
RATIONALE AND OBJECTIVES: To compare a conventional T1 volumetric interpolated breath-hold examination (VIBE) with SPectral Attenuated Inversion Recovery (SPAIR) fat saturation and a deep learning (DL)-reconstructed accelerated VIBE sequence with SPA...
Middle Aged Deep Learning Abdomen Contrast Media Signal-To-Noise Ratio Prospective Studies Magnetic Resonance Imaging Organometallic Compounds Female Image Interpretation, Computer-Assisted Breath Holding Humans Aged Male
View on PubMed DOI

A commentary on 'Machine learning based peri-surgical risk calculator for abdominal related emergency general surgery: a multicenter retrospective study'.

International journal of surgery (London, England) Jul 1, 2024
Abdomen Acute Care Surgery Humans Machine Learning Retrospective Studies Risk Assessment
View on PubMed DOI

Artificial Intelligence in Acute Abdominal Imaging: Are We Reaching the Grail?

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Jun 10, 2024
Abdomen, Acute Humans Artificial Intelligence Abdomen Diagnostic Imaging
View on PubMed DOI

Machine learning based peri-surgical risk calculator for abdominal related emergency general surgery: a multicenter retrospective study.

International journal of surgery (London, England) Jun 1, 2024
BACKGROUND: Currently, there is a lack of ideal risk prediction tools in the field of emergency general surgery (EGS). The American Association for the Surgery of Trauma recommends developing risk assessment tools specifically for EGS-related disease...
Humans Acute Care Surgery Machine Learning Retrospective Studies Abdomen Middle Aged General Surgery Risk Assessment Surgical Procedures, Operative Postoperative Complications APACHE Emergencies Female China Aged Adult Male
View on PubMed DOI

Deep Learning-Based Segmentation and Risk Stratification for Gastrointestinal Stromal Tumors in Transabdominal Ultrasound Imaging.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine May 31, 2024
PURPOSE: To develop a deep neural network system for the automatic segmentation and risk stratification prediction of gastrointestinal stromal tumors (GISTs).
Adult Abdomen Male Reproducibility of Results Deep Learning Gastrointestinal Neoplasms Middle Aged Ultrasonography Humans Gastrointestinal Stromal Tumors Prospective Studies Aged Risk Assessment Retrospective Studies Aged, 80 and over Female Young Adult
View on PubMed DOI
Popular Topics
Recent Journals