AIMC Topic: Humans

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Enhancing the prediction of IDC breast cancer staging from gene expression profiles using hybrid feature selection methods and deep learning architecture.

Medical & biological engineering & computing
Prediction of the stage of cancer plays an important role in planning the course of treatment and has been largely reliant on imaging tools which do not capture molecular events that cause cancer progression. Gene-expression data-based analyses are a...

The utility of the ChatGPT artificial intelligence tool for patient education and enquiry in robotic radical prostatectomy.

International urology and nephrology
OBJECTIVES: To assess the ChatGPT (Open AI) artificial intelligence platform's utility and accuracy as a patient education tool in robotic-assisted radical prostatectomy.

Robot-assisted Laparoscopic Excision of Abdominal Wall Endometrioma Utilizing Intraoperative Ultrasound and Transabdominal Needle Placement.

Journal of minimally invasive gynecology
OBJECTIVE: In patients with endometriosis, extra pelvic endometriosis is estimated to have an incidence of 11% and a rare subset of extra pelvic lesions include abdominal wall endometriosis with an incidence of 0.03% to 3.5% [1,2]. Evaluation for and...

Robot-assisted versus laparoscopic living donor nephrectomy: superior outcomes after completion of the learning curve.

Journal of robotic surgery
The use of robots in donor nephrectomy has increased in recent years. However, whether robot-assisted methods have better outcomes than traditional laparoscopic methods and how surgical experience influences these outcomes remains unclear. This meta-...

Home practice for robotic surgery: a randomized controlled trial of a low-cost simulation model.

Journal of robotic surgery
Pre-operative simulated practice allows trainees to learn robotic surgery outside the operating room without risking patient safety. While simulation practice has shown efficacy, simulators are expensive and frequently inaccessible. Cruff (J Surg Edu...

Deep Learning Enhanced Volumetric Photoacoustic Imaging of Vasculature in Human.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The development of high-performance imaging processing algorithms is a core area of photoacoustic tomography. While various deep learning based image processing techniques have been developed in the area, their applications in 3D imaging are still li...

The learning curve on robot-assisted transaxillary thyroidectomy performed by a single endocrine surgeon in a third-level institution in Europe: a cumulative sum (CUSUM) analysis.

Updates in surgery
Robot-assisted transaxillary thyroidectomy is widely performed in Asian countries, although it is still under discussion in the Western World. However, there have been few studies reporting on the learning curve of robot-assisted transaxillary thyroi...

Deep learning-mediated prediction of concealed accessory pathway based on sinus rhythmic electrocardiograms.

Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc
BACKGROUND: Concealed accessory pathway (AP) may cause atrial ventricular reentrant tachycardia impacting the health of patients. However, it is asymptomatic and undetectable during sinus rhythm.

Spatial attention-based residual network for human burn identification and classification.

Scientific reports
Diagnosing burns in humans has become critical, as early identification can save lives. The manual process of burn diagnosis is time-consuming and complex, even for experienced doctors. Machine learning (ML) and deep convolutional neural network (CNN...