AIMC Topic: Humans

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Image Features of Resting-State Functional Magnetic Resonance Imaging in Evaluating Poor Emotion and Sleep Quality in Patients with Chronic Pain under Artificial Intelligence Algorithm.

Contrast media & molecular imaging
The balanced iterative reducing and clustering using hierarchies (BIRCH) method was adopted to optimize the results of the resting-state functional magnetic resonance imaging (RS-fMRI) to analyze the changes in the brain function of patients with chr...

SDTM: A Novel Topic Model Framework for Syndrome Differentiation in Traditional Chinese Medicine.

Journal of healthcare engineering
Syndrome differentiation is the most basic diagnostic method in traditional Chinese medicine (TCM). The process of syndrome differentiation is difficult and challenging due to its complexity, diversity, and vagueness. Recently, artificial intelligent...

Breast Tumor Detection and Classification in Mammogram Images Using Modified YOLOv5 Network.

Computational and mathematical methods in medicine
Breast cancer incidence has been rising steadily during the past few decades. It is the second leading cause of death in women. If it is diagnosed early, there is a good possibility of recovery. Mammography is proven to be an excellent screening tech...

Minimally invasive hysterectomy for benign indications-surgical volume matters: a retrospective cohort study comparing complications of robotic-assisted and conventional laparoscopic hysterectomies.

Journal of robotic surgery
The objective of this study was to evaluate the incidence of perioperative complications in robotic-assisted hysterectomies performed by high-volume robotic surgeons compared to conventional laparoscopic hysterectomies performed by all gynecologic su...

Impact of previous transurethral resection of prostate on robot-assisted radical prostatectomy: a matched cohort analysis.

Journal of robotic surgery
We aimed to compare surgical, oncological, and functional outcomes of robot-assisted radical prostatectomy (RARP) in prostate cancer patients with and without prior history of transurethral resection of the prostate (TURP), using a matched cohort ana...

A CNN Model for Cardiac Arrhythmias Classification Based on Individual ECG Signals.

Cardiovascular engineering and technology
PURPOSE: Wearable devices in the scenario of connected home healthcare integrated with artificial intelligence have been an effective alternative to the conventional medical devices. Despite various benefits of wearable electrocardiogram (ECG) device...

Evaluation of the learning curve for robot-assisted rectal surgery using the cumulative sum method.

Surgical endoscopy
BACKGROUND: There is no clear evidence on the number of cases required to master the techniques required in robot-assisted surgery for different surgical fields and techniques. The purpose of this study was to clarify the learning curve of robot-assi...

DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity.

Ophthalmology
PURPOSE: To develop deep learning models to perform automated diagnosis and quantitative classification of age-related cataract from anterior segment photographs.

How Does Age Affect Urinary Continence following Robot-Assisted Radical Prostatectomy? A Prospective Multi-Institutional Study Using Independently Collected, Validated Questionnaires.

The Journal of urology
PURPOSE: Robot-assisted radical prostatectomy (RARP) is associated with poorer postoperative urinary continence in older men. However, published studies reporting conflicting results have design limitations with insufficient data at the extremes of a...

Assessment of a hybrid decision support system using machine learning with artificial intelligence to safely rule out prescriptions from medication review in daily practice.

International journal of clinical pharmacy
Background Medication review is time-consuming and not exhaustive in most French hospitals. We routinely use an innovative hybrid decision support system using Artificial Intelligence to prioritize medication review by scoring prescriptions by their ...