AIMC Topic: Humans

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Deep Learning and 5G and Beyond for Child Drowning Prevention in Swimming Pools.

Sensors (Basel, Switzerland)
Drowning is a major health issue worldwide. The World Health Organization's global report on drowning states that the highest rates of drowning deaths occur among children aged 1-4 years, followed by children aged 5-9 years. Young children can drown ...

Leveraging IoT-Aware Technologies and AI Techniques for Real-Time Critical Healthcare Applications.

Sensors (Basel, Switzerland)
Personalised healthcare has seen significant improvements due to the introduction of health monitoring technologies that allow wearable devices to unintrusively monitor physiological parameters such as heart health, blood pressure, sleep patterns, an...

Clustering of trauma patients based on longitudinal data and the application of machine learning to predict recovery.

Scientific reports
Predicting recovery after trauma is important to provide patients a perspective on their estimated future health, to engage in shared decision making and target interventions to relevant patient groups. In the present study, several unsupervised tech...

Active tactile sensing of small insect force by a soft microfinger toward microfinger-insect interactions.

Scientific reports
Human-robot interaction technology has contributed to improving sociality for humanoid robots. At scales far from human scales, a microrobot can interact with an environment in a small world. Microsensors have been applied to measurement of forces by...

Dynamics of cooperative excavation in ant and robot collectives.

eLife
The solution of complex problems by the collective action of simple agents in both biologically evolved and synthetically engineered systems involves cooperative action. Understanding the resulting emergent solutions requires integrating across the o...

Using Artificial Intelligence for Predicting the Duration of Emergency Evacuation During Hospital Fire.

Disaster medicine and public health preparedness
OBJECTIVE: A danger threatening hospitals is fire. The most important action following a fire is to urgently evacuate the hospital during the shortest time possible. The aim of this study was to predict the duration of emergency evacuation following ...

Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application.

Journal of medical systems
Recently, human monkeypox outbreaks have been reported in many countries. According to the reports and studies, quick determination and isolation of infected people are essential to reduce the spread rate. This study presents an Android mobile applic...

Identification of micro- and nanoplastics released from medical masks using hyperspectral imaging and deep learning.

The Analyst
Apart from other severe consequences, the COVID-19 pandemic has inflicted a surge in personal protective equipment usage, some of which, such as medical masks, have a short effective protection time. Their misdisposition and subsequent natural degrad...

Analysis of Structured Data in Biomedicine Using Soft Computing Techniques and Computational Analysis.

Computational intelligence and neuroscience
In the field of biomedicine, enormous data are generated in a structured and unstructured form every day. Soft computing techniques play a major role in the interpretation and classification of the data to make appropriate decisions for making polici...

Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning.

Computational intelligence and neuroscience
Pathologists need a lot of clinical experience and time to do the histopathological investigation. AI may play a significant role in supporting pathologists and resulting in more accurate and efficient histopathological diagnoses. Breast cancer is on...