Impact of AI-powered solutions in rehabilitation process: Recent improvements and future trends
Rehabilitation is an important and necessary part of local and global healthcare services
along with treatment and palliative care, prevention of disease, and promotion of good …
along with treatment and palliative care, prevention of disease, and promotion of good …
Evaluating the efficacy of ChatGPT in navigating the Spanish medical residency entrance examination (MIR): Promising horizons for AI in clinical medicine
F Guillen-Grima, S Guillen-Aguinaga… - Clinics and …, 2023 - mdpi.com
The rapid progress in artificial intelligence, machine learning, and natural language
processing has led to increasingly sophisticated large language models (LLMs) for use in …
processing has led to increasingly sophisticated large language models (LLMs) for use in …
[HTML][HTML] Defining a metric-driven approach for learning hazardous situations
Artificial intelligence has brought many innovations to our lives. At the same time, it is worth
designing robust safety machine learning (ML) algorithms to obtain more benefits from …
designing robust safety machine learning (ML) algorithms to obtain more benefits from …
Applications of deep reinforcement learning in nuclear energy: A review
Y Liu, B Wang, S Tan, T Li, W Lv, Z Niu, J Li… - … Engineering and Design, 2024 - Elsevier
In recent years, Deep reinforcement learning (DRL), as an important branch of artificial
intelligence (AI), has been widely used in physics and engineering domains. It combines the …
intelligence (AI), has been widely used in physics and engineering domains. It combines the …
Cloud-based monitoring system for personalized home medication
This paper introduces an Artificial Intelligence (AI)-enabled system to assist patients to follow
a treatment plan at home. The deep learning model is a Convolutional Neural Network …
a treatment plan at home. The deep learning model is a Convolutional Neural Network …
COVID-19 prediction infrastructure using deep learning
Coronavirus can lead to respiratory illnesses ranging from mild to severe, and even death,
which makes early detection critical. However, current COVID-19 (Coronavirus Disease …
which makes early detection critical. However, current COVID-19 (Coronavirus Disease …
An efficient approach of epilepsy seizure alert system using IoT and machine learning
J Basavaiah, AA Anthony, S Mahadevaswamy… - Journal of Reliable …, 2024 - Springer
Epilepsy is a neurological disorder that affects millions of people worldwide, and it is
characterized by recurrent seizures that can vary in frequency and severity. The …
characterized by recurrent seizures that can vary in frequency and severity. The …
Disease Diagnosis On Ships Using Hierarchical Reinforcement Learning
Every year about 30 million people travel by ship worldwide often in extreme weather
conditions and polluted environments and many other factors that impact the health of …
conditions and polluted environments and many other factors that impact the health of …
Self-Adapted Resource Allocation in V2X Communication
The intelligent transportation system (ITS) along with vehicular communications are making
our daily life safer and easier eg, saving time, traffic control, safe driving, etc. Many …
our daily life safer and easier eg, saving time, traffic control, safe driving, etc. Many …
Industry 4.0 Challenges and Risks
S Majumder, N Dey - A Notion of Enterprise Risk Management …, 2024 - emerald.com
Industry 4.0 uses automation and data analysis technologies to construct 'smart factories',
which are networked devices that communicate production data with workers. The main …
which are networked devices that communicate production data with workers. The main …