AIMC Topic: Retrospective Studies

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Virtual monoenergetic micro-CT imaging in mice with artificial intelligence.

Scientific reports
Micro cone-beam computed tomography (µCBCT) imaging is of utmost importance for carrying out extensive preclinical research in rodents. The imaging of animals is an essential step prior to preclinical precision irradiation, but also in the longitudin...

Rates and risk factors of intrapedicular accuracy and cranial facet joint violation among robot-assisted, fluoroscopy-guided percutaneous, and freehand techniques in pedicle screw fixation of thoracolumbar fractures: a comparative cohort study.

BMC surgery
BACKGROUND: Robot-assisted (RA) technique has been increasingly applied in clinical practice, providing promising outcomes of inserting accuracy and cranial facet joint protection. However, studies comparing this novel method with other assisted meth...

Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest).

BMC emergency medicine
BACKGROUND: Elderly patients with sepsis have many comorbidities, and the clinical reaction is not obvious. Thus, clinical treatment is difficult. We planned to use the laboratory test results and comorbidities of elderly patients with sepsis from a ...

Polycystic liver: automatic segmentation using deep learning on CT is faster and as accurate compared to manual segmentation.

European radiology
OBJECTIVE: This study aimed to develop and investigate the performance of a deep learning model based on a convolutional neural network (CNN) for the automatic segmentation of polycystic livers at CT imaging.

Safety of robot-assisted radical prostatectomy in an Italian spoke hospital: Long-term oncologic and functional outcomes with median 11.3 years follow-up.

Urologia
INTRODUCTION: Robot-assisted radical prostatectomy (RARP) long-term oncologic outcomes were published in few studies. This paper provides a complete overview of RARP long-term oncologic and functional results produced in an Italian spoke hospital.

Safety and efficacy of a novel robotic transcranial doppler system in subarachnoid hemorrhage.

Scientific reports
Delayed cerebral ischemia (DCI) secondary to vasospasm is a determinate of outcomes following non-traumatic subarachnoid hemorrhage (SAH). SAH patients are monitored using transcranial doppler (TCD) to measure cerebral blood flow velocities (CBFv). H...

Factors associated with long-term survival in gemcitabine-concurrent proton radiotherapy for non-metastatic locally advanced pancreatic cancer: a single-center retrospective study.

Radiation oncology (London, England)
BACKGROUND: Factors associated with long-term survival in gemcitabine-concurrent proton radiotherapy (GPT) for non-metastatic, locally advanced pancreatic cancer (LAPC) remain unclear. This study aimed to determine the factors associated with long-te...

Rupture risk prediction of cerebral aneurysms using a novel convolutional neural network-based deep learning model.

Journal of neurointerventional surgery
BACKGROUND: Cerebral aneurysms should be treated before rupture because ruptured aneurysms result in serious disability. Therefore, accurate prediction of rupture risk is important and has been estimated using various hemodynamic factors.

Automatic Segment and Quantify Choroid Layer in Myopic eyes: Deep Learning based Model.

Seminars in ophthalmology
PURPOSE: To report a rapid and accurate method based upon deep learning for automatic segmentation and measurement of the choroidal thickness (CT) in myopic eyes, and to determine the relationship between refractive error (RE) and CT.