AIMC Topic: Humans

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Arithmetic optimization algorithm with deep learning enabled airborne particle-bound metals size prediction model.

Chemosphere
Recently, heavy metal air pollution has received significant interest in computing the total concentration of every toxic metal. Chemical fractionation of possibly toxic substances in airborne particles becomes a vital element. Among the primary and ...

The Effectiveness of Artificial Intelligence in Detection of Oral Cancer.

International dental journal
AIM: The early detection of oral cancer (OC) at the earliest stage significantly increases survival rates. Recently, there has been an increasing interest in the use of artificial intelligence (AI) technologies in diagnostic medicine. This study aime...

Recommendations for next generation sequencing data reanalysis of unsolved cases with suspected Mendelian disorders: A systematic review and meta-analysis.

Genetics in medicine : official journal of the American College of Medical Genetics
PURPOSE: The study aimed to determine the diagnostic yield, optimal timing, and methodology of next generation sequencing data reanalysis in suspected Mendelian disorders.

Performance enhancement of an uncertain nonlinear medical robot with optimal nonlinear robust controller.

Computers in biology and medicine
Cardiopulmonary resuscitation refers to the process of sending oxygen and blood to the body's vital organs during cardiac arrest. For this reason, designing and controlling an accurate robot is crucial to saving the lives of patients. This study aims...

Nucleus classification in histology images using message passing network.

Medical image analysis
Identification of nuclear components in the histology landscape is an important step towards developing computational pathology tools for the profiling of tumor micro-environment. Most existing methods for the identification of such components are li...

Effective high-to-low-level feature aggregation network for endoscopic image classification.

International journal of computer assisted radiology and surgery
PURPOSE: The accuracy improvement in endoscopic image classification matters to the endoscopists in diagnosing and choosing suitable treatment for patients. Existing CNN-based methods for endoscopic image classification tend to use the deepest abstra...

WVALE: Weak variational autoencoder for localisation and enhancement of COVID-19 lung infections.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The COVID-19 pandemic is a major global health crisis of this century. The use of neural networks with CT imaging can potentially improve clinicians' efficiency in diagnosis. Previous studies in this field have primarily foc...

Group Emotion Detection Based on Social Robot Perception.

Sensors (Basel, Switzerland)
Social robotics is an emerging area that is becoming present in social spaces, by introducing autonomous social robots. Social robots offer services, perform tasks, and interact with people in such social environments, demanding more efficient and co...

Robustness and Tracking Performance Evaluation of PID Motion Control of 7 DoF Anthropomorphic Exoskeleton Robot Assisted Upper Limb Rehabilitation.

Sensors (Basel, Switzerland)
Upper limb dysfunctions (ULD) are common following a stroke. Annually, more than 15 million people suffer a stroke worldwide. We have developed a 7 degrees of freedom (DoF) exoskeleton robot named the smart robotic exoskeleton () to provide upper lim...

Male urogenital function after robot-assisted and laparoscopic total mesorectal excision for rectal cancer: a prospective cohort study.

BMC surgery
BACKGROUND: Urogenital dysfunction is recognized as a serious complication affecting patient quality of life after rectal cancer surgery to treat rectal cancer; however, the studies focus on the urogenital function after robot-assisted rectal cancer ...