AIMC Topic: Female

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Emergency medical services providers' perspectives on the use of artificial intelligence in prehospital identification of stroke- a qualitative study in Norway and Sweden.

BMC emergency medicine
BACKGROUND: Stroke is a large and increasing health challenge, leading to acquired physical disability and mortality. A rapid diagnostic assessment in the acute phase of a stroke is crucial and highly time dependent. Studies suggest that artificial i...

Determination of milk yield in water buffaloes using multi-class logistic regression and machine learning methods.

Tropical animal health and production
In this study, Random Forest, Gradient Boosting Machines (GBM), and Support Vector Machines (SVM), Multi-Class Logistic Regression (MCLR) models were comparatively evaluated for the prediction of milk yield in water buffaloes. The study's main purpos...

The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns.

Scientific reports
The diverse nature and timing of a clubfoot relapse pose challenges for early detection. A relapsed clubfoot typically involves a combination of deformities affecting a child's movement pattern across multiple joint levels, formed by a complex kinema...

Classification of skin diseases with deep learning based approaches.

Scientific reports
Skin diseases are one of the most common health problems that affect people of all ages around the world and significantly reduce the quality of life of individuals. Diseases of eczema, seborrheic dermatitis and skin cancer need to be diagnosed and c...

Identification of age-specific risk factors for hyperuricemia: a machine learning-driven stratified analysis in health examination cohorts.

BMC medical informatics and decision making
BACKGROUND: Hyperuricemia (HUA) as a global public health challenge, although its overall epidemiological characteristics have been widely reported, its age-specific risk pattern remains controversial. This study aims to reveal the risk factors of HU...

Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia.

Scientific reports
Schizophrenia is characterized by early brain developmental abnormalities resulting in, among others, compromised communication. Rodent models, such as prenatal exposure to methylazoxymethanol acetate (MAM), help investigate schizophrenia-related def...

Does Humanness Matter? An Ethical Evaluation of Sharing Care Work with Social Robots.

Science and engineering ethics
While social robots offer potential benefits like task assistance and companionship, their integration raises concerns about the erosion of human connection and the dehumanization of care. Through a qualitative study of older adults, family caregiver...

Predicting geriatric environmental safety perception assessment using LightGBM and SHAP framework.

Scientific reports
Global population aging highlights the need to understand how the elderly perceive safety in urban public spaces. This study used image semantic segmentation to identify key visual elements from panoramic images. A dataset was created by combining ma...

Gut microbiota and SCFAs improve the treatment efficacy of chemotherapy and immunotherapy in NSCLC.

NPJ biofilms and microbiomes
The role of gut dysbiosis in shaping immunotherapy responses is well-recognized, yet its effect on the therapeutic efficacy of chemotherapy and immunotherapy combinations remains poorly understood. We analyzed gut microbiota in non-small cell lung ca...

Harnessing infrared thermography and multi-convolutional neural networks for early breast cancer detection.

Scientific reports
Breast cancer is a relatively common carcinoma among women worldwide and remains a considerable public health concern. Consequently, the prompt identification of cancer is crucial, as research indicates that 96% of cancers are treatable if diagnosed ...