AIMC Topic: Humans

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Randomised controlled trial on robot-assisted versus manual surgery for pucker peeling.

Clinical & experimental ophthalmology
BACKGROUND: The aim was to explore the feasibility and safety of performing common surgical steps in epiretinal membrane (ERM) peeling using the Preceyes Surgical System (PSS).

Deep learning for rare disease: A scoping review.

Journal of biomedical informatics
Although individually rare, collectively more than 7,000 rare diseases affect about 10% of patients. Each of the rare diseases impacts the quality of life for patients and their families, and incurs significant societal costs. The low prevalence of e...

Hierarchical Motion Learning for Goal-Oriented Movements With Speed-Accuracy Tradeoff of a Musculoskeletal System.

IEEE transactions on cybernetics
Generating various goal-oriented movements via the flexible muscle model of the musculoskeletal system as fast and accurately as possible is a pressing problem, which is also the basis of most human adaptive behaviors, such as reaching, catching, int...

Neural representational geometry underlies few-shot concept learning.

Proceedings of the National Academy of Sciences of the United States of America
Understanding the neural basis of the remarkable human cognitive capacity to learn novel concepts from just one or a few sensory experiences constitutes a fundamental problem. We propose a simple, biologically plausible, mathematically tractable, and...

sEMG-Based Gain-Tuned Compliance Control for the Lower Limb Rehabilitation Robot during Passive Training.

Sensors (Basel, Switzerland)
The lower limb rehabilitation robot is a typical man-machine coupling system. Aiming at the problems of insufficient physiological information and unsatisfactory safety performance in the compliance control strategy for the lower limb rehabilitation ...

Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records.

BMC medical informatics and decision making
BACKGROUND: Dementia develops as cognitive abilities deteriorate, and early detection is critical for effective preventive interventions. However, mainstream diagnostic tests and screening tools, such as CAMCOG and MMSE, often fail to detect dementia...

Monte Carlo cross-validation for a study with binary outcome and limited sample size.

BMC medical informatics and decision making
Cross-validation (CV) is a resampling approach to evaluate machine learning models when sample size is limited. The number of all possible combinations of folds for the training data, known as CV rounds, are often very small in leave-one-out CV. Alte...

Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review.

BMC bioinformatics
BACKGROUND: Predicting morphological changes to anatomical structures from 3D shapes such as blood vessels or appearance of the face is a growing interest to clinicians. Machine learning (ML) has had great success driving predictions in 2D, however, ...

A wearable soft robot that can alleviate the pain and fear of the wearer.

Scientific reports
Social soft robotics may provide a new solution for alleviating human pain and fear. Here, we introduce a hand-held soft robot that can be clenched by the wearer. The robot comprises small airbags that can be inflated to provide the wearer with a fee...

Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs.

Scientific reports
Early diagnosis of Alzheimer's disease plays a pivotal role in patient care and clinical trials. In this study, we have developed a new approach based on 3D deep convolutional neural networks to accurately differentiate mild Alzheimer's disease demen...