AIMC Topic: Humans

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Restorative rehabilitation robotics to promote function, independence and dignity: users' perspectives on clinical applications.

Journal of medical engineering & technology
People with mobility impairments have reported that improving their walking is one of the most important goals of their rehabilitation. Novel robotic technologies using powered exoskeletons for the lower limb could potentially offer efficient and les...

A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions.

Sensors (Basel, Switzerland)
This study proposes a new intelligent diagnostic method for bearing faults in rotating machinery. The method uses a combination of nonlinear mode decomposition based on the improved fast kurtogram, gramian angular field, and convolutional neural netw...

Machine learning methods to predict attrition in a population-based cohort of very preterm infants.

Scientific reports
The timely identification of cohort participants at higher risk for attrition is important to earlier interventions and efficient use of research resources. Machine learning may have advantages over the conventional approaches to improve discriminati...

Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI.

Scientific reports
Respiratory diseases are leading causes of mortality and morbidity worldwide. Pulmonary imaging is an essential component of the diagnosis, treatment planning, monitoring, and treatment assessment of respiratory diseases. Insights into numerous pulmo...

Colposcopic multimodal fusion for the classification of cervical lesions.

Physics in medicine and biology
: Cervical cancer is one of the two biggest killers of women and early detection of cervical precancerous lesions can effectively improve the survival rate of patients. Manual diagnosis by combining colposcopic images and clinical examination results...

Boosted Sine Cosine Algorithm with Application to Medical Diagnosis.

Computational and mathematical methods in medicine
The sine cosine algorithm (SCA) was proposed for solving optimization tasks, of which the way to obtain the optimal solution is mainly through the continuous iteration of the sine and cosine update formulas. However, SCA also faces low population div...

An Assessment and Analysis Model of Psychological Health of College Students Based on Convolutional Neural Networks.

Computational intelligence and neuroscience
Psychological health assessment and psychological problem identification essentially belong to problems of pattern recognition or nonlinear classification; its system contains complex nonlinear interactions among various factors, having basic charact...

The use of social robots with children and young people on the autism spectrum: A systematic review and meta-analysis.

PloS one
BACKGROUND: Robot-mediated interventions show promise in supporting the development of children on the autism spectrum.

Using deep-learning in fetal ultrasound analysis for diagnosis of cystic hygroma in the first trimester.

PloS one
OBJECTIVE: To develop and internally validate a deep-learning algorithm from fetal ultrasound images for the diagnosis of cystic hygromas in the first trimester.

The role of preoperative prostatic shape in the recovery of urinary continence after robotic radical prostatectomy: a single cohort analysis.

Prostate cancer and prostatic diseases
BACKGROUND: To explore the role of preoperative MRI prostate shape in urinary incontinence after robot-assisted radical prostatectomy (RARP).