AIMC Topic: Female

Clear Filters Showing 14751 to 14760 of 29210 articles

Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine.

Journal of healthcare engineering
Toxoplasmosis is a zoonotic illness caused by . Those with a normal immune system normally recover without treatment. Immunocompromised individuals and pregnant women must be treated regularly. Toxoplasmosis is a serious illness that may reactivate i...

Application of Da Vinci Robot and Thoracoscopy in Radical Lung Cancer Surgery.

Journal of healthcare engineering
In this article, we have explored the feasibility and safety of Da Vinci's robotic surgery system in the radical resection of lung cancer. For this purpose, 73 cases of patients with lung cancer who underwent radical resection in the thoracic surgery...

Assessment and counseling to get the best efficiency and effectiveness of the assistive technology (MATCH): Study protocol.

PloS one
AIMS: To determine the psychosocial impact of assistive technology(AT) based on robotics and artificial intelligence in the life of people with disabilities.

The Role of Gabapentinoids in the Substance Use Pattern of Adult Germans Seeking Inpatient Detoxification Treatment - A Pilot Study.

Journal of psychoactive drugs
To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we performed a structured face-to-face interview with GPT-users about DSM-IV-dependence-criteria (sedatives), consume-motives and cessation-needs. Among...

Scrutinizing high-risk patients from ASC-US cytology via a deep learning model.

Cancer cytopathology
BACKGROUND: Atypical squamous cells of undetermined significance (ASC-US) is the most frequent but ambiguous abnormal Papanicolaou (Pap) interpretation and is generally triaged by high-risk human papillomavirus (hrHPV) testing before colposcopy. This...

Utility of a novel integrated deep convolutional neural network for the segmentation of hip joint from computed tomography images in the preoperative planning of total hip arthroplasty.

Journal of orthopaedic surgery and research
PURPOSE: Preoperative three-dimensional planning is important for total hip arthroplasty. To simulate the placement of joint implants on computed tomography (CT), pelvis and femur must be segmented. Accurate and rapid segmentation of the hip joint is...

A Study on the Relationship Between Adolescent Health Behavior, BMI, and Blood Physical and Chemical Properties.

Frontiers in public health
In this study, the blood test index, demographic data, and health promotion behavior of adolescents were analyzed to provide a reference for early prevention and treatment of physical decline and abnormal biochemical indexes of adolescents. Using a c...

Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography.

Japanese journal of radiology
PURPOSE: To investigate the ability of deep learning (DL) using convolutional neural networks (CNNs) for distinguishing between normal and metastatic axillary lymph nodes on ultrasound images by comparing the diagnostic performance of radiologists.

Artificial intelligence in perinatal diagnosis and management of congenital heart disease.

Seminars in perinatology
Prenatal diagnosis and management of congenital heart disease (CHD) has progressed substantially in the past few decades. Fetal echocardiography can accurately detect and diagnose approximately 85% of cardiac anomalies. The prenatal diagnosis of CHD ...

A deep learning tool without muscle-by-muscle grading to differentiate myositis from facio-scapulo-humeral dystrophy using MRI.

Diagnostic and interventional imaging
PURPOSE: The purpose of this study was to assess the capabilities of a deep learning (DL) tool to discriminate between type 1 facioscapulo-humeral dystrophy (FSHD1) and myositis using whole-body muscle magnetic resonance imaging (MRI) examination wit...