AIMC Topic: Humans

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Fast label-free recognition of NRBCs by deep-learning visual object detection and single-cell Raman spectroscopy.

The Analyst
Nucleated red blood cells (NRBCs) as a type of rare cell present in an adult's peripheral blood is a concern in hematology, intensive care medicine and prenatal diagnostics. However, it is labor-intensive to screen such rare cells from real complex c...

A novel deep learning prognostic system improves survival predictions for stage III non-small cell lung cancer.

Cancer medicine
BACKGROUND: Accurate prognostic prediction plays a crucial role in the clinical setting. However, the TNM staging system fails to provide satisfactory individual survival prediction for stage III non-small cell lung cancer (NSCLC). The performance of...

Safety enhanced surgical robot for flexible ureteroscopy based on force feedback.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Although some robotic systems have been developed to improve conventional flexible ureteroscopy (FURS), a widely used intervention in urology, these robots rarely have a comprehensive force feedback function which is important for master-...

Reporting details of neuroimaging studies on individual traits prediction: A literature survey.

NeuroImage
Using machine-learning tools to predict individual phenotypes from neuroimaging data is one of the most promising and hence dynamic fields in systems neuroscience. Here, we perform a literature survey of the rapidly work on phenotype prediction in he...

Single-Port, Robot-Assisted Transanal Harvest of Rectal Mucosa Grafts for Substitution Urethroplasty.

Urology
OBJECTIVE: To describe a novel single-port, endorobotic technique for harvesting rectal mucosa grafts (RMGs) for urethral reconstruction.

Preoperative positioning planning for a robot-assisted minimally invasive surgical system based on accuracy and safety.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Minimally invasive robot-assisted techniques are being used increasingly in surgical procedures, and the preoperative preparation for this kind of operation is more complicated than traditional operations.

Diagnosis of COVID-19 patients by adapting hyper parametertuned deep belief network using hosted cuckoo optimization algorithm.

Electromagnetic biology and medicine
COVID-19 is an infection caused by recently discovered corona virus. The symptoms of COVID-19 are fever, cough and dumpiness of breathing. A quick and accurate identification is essential for an efficient fight against COVID-19. A machine learning te...

Brain network connectivity feature extraction using deep learning for Alzheimer's disease classification.

Neuroscience letters
Early diagnosis and therapeutic intervention for Alzheimer's disease (AD) is currently the only viable option for improving clinical outcomes. Combining structural magnetic resonance imaging (sMRI) and resting-state functional magnetic resonance imag...