AIMC Topic: Humans

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Single-port robot-assisted retroperitoneal surgery: A feasible approach.

Actas urologicas espanolas
INTRODUCTION: The concept of surgery through a single incision has been pursued in the field of minimal invasion for the treatment of different pathologies. This, added to a retroperitoneal approach, implies less aggression for the patient at differe...

Robot-Assisted Resection of Intestinal Duplication in Children.

Journal of laparoendoscopic & advanced surgical techniques. Part A
Intestinal duplication is the most common type of alimentary tract duplications in childhood. Laparoscopic-assisted surgery has become the main surgical procedure, but robot-assisted resection has rarely been reported; the aim of this study was to r...

Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review.

NeuroImage
Cerebral small vessel disease (CSVD) is a major vascular contributor to cognitive impairment in ageing, including dementias. Imaging remains the most promising method for in vivo studies of CSVD. To replace the subjective and laborious visual rating ...

Performance of deep learning in the detection of intracranial aneurysm: A systematic review and meta-analysis.

European journal of radiology
PURPOSE: Early detection and diagnosis of intracranial aneurysms (IAs) are particularly critical. Deep learning models (DLMs) are now widely used in the diagnosis of various diseases. Different DLMs have been developed to detect IAs. However, the ove...

A systematic review on the use of artificial intelligence in gynecologic imaging - Background, state of the art, and future directions.

Gynecologic oncology
OBJECTIVE: Machine learning, deep learning, and artificial intelligence (AI) are terms that have made their way into nearly all areas of medicine. In the case of medical imaging, these methods have become the state of the art in nearly all areas from...

Natural Language Processing to Improve Prediction of Incident Atrial Fibrillation Using Electronic Health Records.

Journal of the American Heart Association
Background Models predicting atrial fibrillation (AF) risk, such as Cohorts for Heart and Aging Research in Genomic Epidemiology AF (CHARGE-AF), have not performed as well in electronic health records. Natural language processing (NLP) may improve mo...

Fitness Movement Types and Completeness Detection Using a Transfer-Learning-Based Deep Neural Network.

Sensors (Basel, Switzerland)
Fitness is important in people's lives. Good fitness habits can improve cardiopulmonary capacity, increase concentration, prevent obesity, and effectively reduce the risk of death. Home fitness does not require large equipment but uses dumbbells, yog...

Advances in Vision-Based Gait Recognition: From Handcrafted to Deep Learning.

Sensors (Basel, Switzerland)
Identifying people's identity by using behavioral biometrics has attracted many researchers' attention in the biometrics industry. Gait is a behavioral trait, whereby an individual is identified based on their walking style. Over the years, gait reco...

A multitask deep learning approach for pulmonary embolism detection and identification.

Scientific reports
Pulmonary embolism (PE) is a blood clot traveling to the lungs and is associated with substantial morbidity and mortality. Therefore, rapid diagnoses and treatments are essential. Chest computed tomographic pulmonary angiogram (CTPA) is the gold stan...

Surgical and functional outcomes of robot-assisted versus laparoscopic partial nephrectomy with cortical renorrhaphy omission.

Scientific reports
To evaluate the surgical and functional outcomes between robot-assisted (CRO-RAPN) vs. laparoscopic (CRO-LPN) methods of cortical-renorrhaphy-omitting partial nephrectomy. Between July 2012 and June 2020, patients with localized clinical T1-2 renal m...