AIMC Topic: Retrospective Studies

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Robot-assisted thoracic surgery for lung cancer patients with incomplete fissure.

Surgical endoscopy
BACKGROUND: Robot-assisted thoracic surgery has gradually been accepted as an alternative treatment for early-stage non-small-cell lung cancer (NSCLC) owing to its advantages. However, severe incomplete interlobar fissure may lead to a high rate of c...

Deep learning combined with radiomics for the classification of enlarged cervical lymph nodes.

Journal of cancer research and clinical oncology
PURPOSE: To investigate the application of deep learning combined with traditional radiomics methods for classifying enlarged cervical lymph nodes.

Exemplar deep and hand-modeled features based automated and accurate cerebral hemorrhage classification method.

Medical engineering & physics
BACKGROUND: Cerebral hemorrhage (CH) is a commonly seen disease, and an accurate diagnosis of the type of CH is a very crucial step in treatment. Therefore, CH requires a prompt and accurate diagnosis. To simplify this process, an accurate CH classif...

Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement.

BMC medical imaging
BACKGROUND: Despite the dramatic increase in the use of medical imaging in various therapeutic fields of clinical trials, the first step of image quality check (image QC), which aims to check whether images are uploaded appropriately according to the...

Pelvic reconstruction and lateral prostate capsule sparing techniques improve early continence of robot-assisted radical cystectomy with orthotopic ileal neobladder.

International urology and nephrology
PURPOSE: To evaluate urinary outcomes of pelvic construction and lateral capsule sparing techniques in robot-assisted radical cystectomy with orthotopic ileal neobladder (RARC-OIN).

Early prediction of acute necrotizing pancreatitis by artificial intelligence: a prospective cohort-analysis of 2387 cases.

Scientific reports
Pancreatic necrosis is a consistent prognostic factor in acute pancreatitis (AP). However, the clinical scores currently in use are either too complicated or require data that are unavailable on admission or lack sufficient predictive value. We there...

Real-time automatic prediction of treatment response to transcatheter arterial chemoembolization in patients with hepatocellular carcinoma using deep learning based on digital subtraction angiography videos.

Cancer imaging : the official publication of the International Cancer Imaging Society
BACKGROUND: Transcatheter arterial chemoembolization (TACE) is the mainstay of therapy for intermediate-stage hepatocellular carcinoma (HCC); yet its efficacy varies between patients with the same tumor stage. Accurate prediction of TACE response rem...

AI recognition of patient race in medical imaging: a modelling study.

The Lancet. Digital health
BACKGROUND: Previous studies in medical imaging have shown disparate abilities of artificial intelligence (AI) to detect a person's race, yet there is no known correlation for race on medical imaging that would be obvious to human experts when interp...

Optimizing acute stroke outcome prediction models: Comparison of generalized regression neural networks and logistic regressions.

PloS one
BACKGROUND: Generalized regression neural network (GRNN) and logistic regression (LR) are extensively used in the medical field; however, the better model for predicting stroke outcome has not been established. The primary goal of this study was to c...

Cost-utility analysis on robot-assisted and laparoscopic prostatectomy based on long-term functional outcomes.

Scientific reports
Robot-Assisted Radical Prostatectomy (RARP) is one of the standard treatment options for prostate cancer. However, controversy still exists on its added value. Based on a recent large-sample retrospective cluster study from the Netherlands showing si...