AIMC Topic: Humans

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The Artificial Intelligence Revolution in Stroke Care: A Decade of Scientific Evidence in Review.

World neurosurgery
BACKGROUND: The emergence of artificial intelligence (AI) has significantly influenced the diagnostic evaluation of stroke and has revolutionized acute stroke care delivery. The scientific evidence evaluating the role of AI, especially in areas of st...

Exploring the impact of human-robot interaction on workers' mental stress in collaborative assembly tasks.

Applied ergonomics
Advances in robotics have contributed to the prevalence of human-robot collaboration (HRC). However, working and interacting with collaborative robots in close proximity can be psychologically stressful. Therefore, understanding the impacts of human-...

Older versus younger patients in robot-assisted radical cystectomy with intracorporeal ileal conduit comparing safety and clinical outcomes.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVE: To evaluate the safety and efficacy of robot-assisted radical cystectomy using an intracorporeal ileal conduit in older compared to younger patients.

An artificial intelligence approach to predict infants' health status at birth.

International journal of medical informatics
BACKGROUND: Machine learning could be used for prognosis/diagnosis of maternal and neonates' diseases by analyzing the data sets and profiles obtained from a pregnant mother.

MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Micro-ultrasound (micro-US) is a novel 29-MHz ultrasound technique that provides 3-4 times higher resolution than traditional ultrasound, potentially enabling low-cost, accurate diagnosis of prostate cancer. Accurate prostate segmentation is crucial ...

Learning from crowds for automated histopathological image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Automated semantic segmentation of histopathological images is an essential task in Computational Pathology (CPATH). The main limitation of Deep Learning (DL) to address this task is the scarcity of expert annotations. Crowdsourcing (CR) has emerged ...

Factors affecting the efficiency of walking independence in patients with subacute stroke following robot-assisted gait training with conventional rehabilitation.

International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
Factors affecting the efficiency of walking independence in patients with subacute stroke following robot-assisted gait training (RAGT) and conventional treatment (RAGT-CT) were examined. This retrospective cohort study included 37 patients with stro...