AIMC Topic: Humans

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Comparison of Early Urinary Continence, Oncological Outcomes, and Postoperative Complications in Retzius-Sparing and Standard Approach Robot-Assisted Radical Prostatectomy.

Journal of laparoendoscopic & advanced surgical techniques. Part A
The aim of the study is to compare the results of early urinary continence (UC), pathological results, console time (CT), and perioperative morbidity in patients who underwent transperitoneal robot-assisted radical prostatectomy (TR-RARP) and Retziu...

Artificial intelligence in musculoskeletal oncology imaging: A critical review of current applications.

Diagnostic and interventional imaging
Artificial intelligence (AI) is increasingly being studied in musculoskeletal oncology imaging. AI has been applied to both primary and secondary bone tumors and assessed for various predictive tasks that include detection, segmentation, classificati...

Functional magnetic resonance imaging, deep learning, and Alzheimer's disease: A systematic review.

Journal of neuroimaging : official journal of the American Society of Neuroimaging
Alzheimer's disease (AD) is currently diagnosed using a mixture of psychological tests and clinical observations. However, these diagnoses are not perfect, and additional diagnostic tools (e.g., MRI) can help improve our understanding of AD as well a...

Research progress in digital pathology: A bibliometric and visual analysis based on Web of Science.

Pathology, research and practice
BACKGROUND: The development of whole slide image and deep neural network technologies has contributed to the paradigm shift in diagnostic pathology and has received much attention from researchers, with related publications increasing yearly and "exp...

Integrative Serum Metabolic Fingerprints Based Multi-Modal Platforms for Lung Adenocarcinoma Early Detection and Pulmonary Nodule Classification.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Identification of novel non-invasive biomarkers is critical for the early diagnosis of lung adenocarcinoma (LUAD), especially for the accurate classification of pulmonary nodule. Here, a multiplexed assay is developed on an optimized nanoparticle-bas...

A Smart Pen Based on Triboelectric Effects for Handwriting Pattern Tracking and Biometric Identification.

ACS applied materials & interfaces
The rapid development of artificial intelligence places high demands on human-machine interfaces. Various types of huma-machine interfaces have been implemented, including smart keyboards, electronic skins, and wearable motion sensors. Handwriting be...

Review of Learning-Based Robotic Manipulation in Cluttered Environments.

Sensors (Basel, Switzerland)
Robotic manipulation refers to how robots intelligently interact with the objects in their surroundings, such as grasping and carrying an object from one place to another. Dexterous manipulating skills enable robots to assist humans in accomplishing ...

Deep Learning-Based Energy Expenditure Estimation in Assisted and Non-Assisted Gait Using Inertial, EMG, and Heart Rate Wearable Sensors.

Sensors (Basel, Switzerland)
Energy expenditure is a key rehabilitation outcome and is starting to be used in robotics-based rehabilitation through human-in-the-loop control to tailor robot assistance towards reducing patients’ energy effort. However, it is usually assessed by i...

Depth-Camera-Based Under-Blanket Sleep Posture Classification Using Anatomical Landmark-Guided Deep Learning Model.

International journal of environmental research and public health
Emerging sleep health technologies will have an impact on monitoring patients with sleep disorders. This study proposes a new deep learning model architecture that improves the under-blanket sleep posture classification accuracy by leveraging the ana...