AIMC Topic: Retrospective Studies

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Radiologist Worklist Reprioritization Using Artificial Intelligence: Impact on Report Turnaround Times for CTPA Examinations Positive for Acute Pulmonary Embolism.

AJR. American journal of roentgenology
In patients with acute pulmonary embolism (PE), timely intervention (e.g., initiation of anticoagulation) is critical for optimizing clinical outcomes. The purpose of this study was to evaluate the effect of artificial intelligence (AI)-based radio...

Acquisition time reduction in pediatric Tc-DMSA planar imaging using deep learning.

Journal of applied clinical medical physics
PURPOSE: Given the potential risk of motion artifacts, acquisition time reduction is desirable in pediatric Tc-dimercaptosuccinic acid (DMSA) scintigraphy. The aim of this study was to evaluate the performance of predicted full-acquisition-time imag...

Early Postoperative Outcomes of Retroperitoneal Partial Nephrectomy of Anterior and Posterior Renal Tumors: A 5-Year Experience in A Single Center.

Journal of endourology
Partial nephrectomy (PN) is one of the surgical treatment options for renal tumors. Therefore, the aim of this study was to compare the surgical outcomes of retroperitoneal PN for anterior and posterior tumors. This study enrolled 177 patients who ...

MRI-Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Deep learning (DL) have been reported feasible in breast MRI. However, the effectiveness of DL method in mpMRI combinations for breast cancer detection has not been well investigated.

The effect of hepatic steatosis on liver volume determined by proton density fat fraction and deep learning-measured liver volume.

European radiology
OBJECTIVES: We aimed to evaluate the effect of hepatic steatosis (HS) on liver volume and to develop a formula to estimate lean liver volume correcting the HS effect.

Stratified assessment of an FDA-cleared deep learning algorithm for automated detection and contouring of metastatic brain tumors in stereotactic radiosurgery.

Radiation oncology (London, England)
PURPOSE: Artificial intelligence-based tools can be leveraged to improve detection and segmentation of brain metastases for stereotactic radiosurgery (SRS). VBrain by Vysioneer Inc. is a deep learning algorithm with recent FDA clearance to assist in ...

Robotic gastrectomy for gastric cancer: systematic review and future directions.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
BACKGROUND: Robotic gastrectomy (RG) using the da Vinci Surgical System for gastric cancer was approved for national medical insurance coverage in Japan in April 2018, and its number has been rapidly increasing since then.

Robot-assisted percutaneous pars-pedicle screw fixation for treating Hangman's fracture.

Journal of orthopaedic surgery and research
BACKGROUND: This study aimed to evaluate the safety and efficacy of robot-assisted percutaneous pars-pedicle screw fixation surgery for treating Hangman's fracture.

Myopia prediction for children and adolescents via time-aware deep learning.

Scientific reports
This is a retrospective analysis. Quantitative prediction of the children's and adolescents' spherical equivalent based on their variable-length historical vision records. From October 2019 to March 2022, we examined uncorrected visual acuity, sphere...