AIMC Topic: Humans

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Identifying cardiomegaly in chest X-rays: a cross-sectional study of evaluation and comparison between different transfer learning methods.

Acta radiologica (Stockholm, Sweden : 1987)
BACKGROUND: Cardiomegaly is a relatively common incidental finding on chest X-rays; if left untreated, it can result in significant complications. Using Artificial Intelligence for diagnosing cardiomegaly could be beneficial, as this pathology may be...

Single overnight stay after robot-assisted partial nephrectomy: a bi-center experience.

Minerva urology and nephrology
BACKGROUND: Despite hospital length of stay (LOS) being shorter for robot-assisted partial nephrectomy (RAPN) compared to its open counterpart, several series in the literature report on average a LOS of 2-3 days or more. We aimed to assess factors p...

Robot-assisted partial nephrectomy: 7-year outcomes.

Minerva urology and nephrology
BACKGROUND: The role of robot-assisted partial nephrectomy (RAPN) in the management of renal masses has exponentially grown over the past 10 years. Nevertheless, data on long term outcomes of the procedure remains limited. Herein we report oncologica...

Robot-assisted versus open surgery for radical nephrectomy with level 1-2 vena cava tumor thrombectomy: a French monocenter experience (UroCCR study #73).

Minerva urology and nephrology
BACKGROUND: The aim of this paper was to assess the feasibility of robot-assisted radical nephrectomy (RN) with inferior vena cava thrombectomy (RRVCT) and compare perioperative and oncological outcomes of this approach to open surgery for renal tumo...

Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid-enhanced MRI.

European radiology
OBJECTIVES: To (1) develop a fully automated deep learning (DL) algorithm based on gadoxetic acid-enhanced hepatobiliary phase (HBP) MRI and (2) compare the diagnostic performance of DL vs. MR elastography (MRE) for noninvasive staging of liver fibro...

Development of LC-MS/MS determination method and backpropagation artificial neural networks pharmacokinetic model of febuxostat in healthy subjects.

Journal of clinical pharmacy and therapeutics
WHAT IS KNOWN AND OBJECTIVE: Febuxostat is a well-known drug for treating hyperuricemia and gout. The published methods for determination of febuxostat in human plasma might be unsuitable for high-throughput determination and widespread application. ...

Deep learning for the prediction of treatment response in depression.

Journal of affective disorders
BACKGROUND: Mood disorders are characterized by heterogeneity in severity, symptoms and treatment response. The possibility of selecting the correct therapy on the basis of patient-specific biomarker may be a considerable step towards personalized ps...

A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification.

Medical image analysis
The eye affords a unique opportunity to inspect a rich part of the human microvasculature non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are prime steps for the diagnosis and risk assessment of microvascular ...