AIMC Topic: Humans

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Detection of factors affecting kidney function using machine learning methods.

Scientific reports
Due to the increasing prevalence of chronic kidney disease and its high mortality rate, study of risk factors affecting the progression of the disease is of great importance. Here in this work, we aim to develop a framework for using machine learning...

The harmonium model and its unified system view of psychopathology: a validation study by means of a convolutional neural network.

Scientific reports
The harmonium model (HM) is a recent conceptualization of the unifying view of psychopathology, namely the idea of a general mechanism underpinning all mental disorders (the p factor). According to HM, psychopathology consists of a low dimensional Ph...

Machine learning computational tools to assist the performance of systematic reviews: A mapping review.

BMC medical research methodology
BACKGROUND: Within evidence-based practice (EBP), systematic reviews (SR) are considered the highest level of evidence in that they summarize the best available research and describe the progress in a determined field. Due its methodology, SR require...

Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoring.

European radiology
OBJECTIVE: To investigate performance of 1-mm, sharp kernel, low-dose chest computed tomography (LDCT) for coronary artery calcium scoring (CACS) using deep learning (DL)-based denoising technique.

Technique for Robotic Pancreaticojejunostomy.

Journal of the American College of Surgeons
BACKGROUND:: Minimally invasive, robotic techniques for hepatobiliary procedures offer the potential for accelerated recovery and reduced opioid usage. Robotic pancreaticoduodenectomy is a technically challenging procedure with a complex reconstructi...

Factors contributing to the utilization of robotic colorectal surgery: a systematic review and meta-analysis.

Surgical endoscopy
BACKGROUND: Some studies have suggested disparities in access to robotic colorectal surgery, however, it is unclear which factors are most meaningful in the determination of approach relative to laparoscopic or open surgery. This study aimed to ident...

Comparing Free-Flap Reconstruction After Robot-Assisted Neck Dissection via a Retroauricular Approach and a Traditional Transcervical Approach: Single-Surgeon Experiences of 90 Consecutive Cases.

Annals of surgical oncology
BACKGROUND: Predominant traditional approaches for most patients who have advanced-stage oral cancer with transcervical incision lines left irreversible scars. To address this, surgeons have continuously refined minimally invasive surgery (MIS) techn...

Attention-based deep learning for breast lesions classification on contrast enhanced spectral mammography: a multicentre study.

British journal of cancer
BACKGROUND: This study aims to develop an attention-based deep learning model for distinguishing benign from malignant breast lesions on CESM.