Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …
ageing global population to the current COVID-19 pandemic. In a world where we have …
Machine learning for dementia prediction: a systematic review and future research directions
Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully
provided automated solutions to numerous real-world problems. Healthcare is one of the …
provided automated solutions to numerous real-world problems. Healthcare is one of the …
Early diagnosis of brain tumour mri images using hybrid techniques between deep and machine learning
EM Senan, ME Jadhav, TH Rassem… - … Methods in Medicine, 2022 - Wiley Online Library
Cancer is considered one of the most aggressive and destructive diseases that shortens the
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …
Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques
Eye tracking is a useful technique for detecting autism spectrum disorder (ASD). One of the
most important aspects of good learning is the ability to have atypical visual attention. The …
most important aspects of good learning is the ability to have atypical visual attention. The …
AI techniques of dermoscopy image analysis for the early detection of skin lesions based on combined CNN features
Melanoma is one of the deadliest types of skin cancer that leads to death if not diagnosed
early. Many skin lesions are similar in the early stages, which causes an inaccurate …
early. Many skin lesions are similar in the early stages, which causes an inaccurate …
Deep learning and machine learning techniques of diagnosis dermoscopy images for early detection of skin diseases
With the increasing incidence of severe skin diseases, such as skin cancer, endoscopic
medical imaging has become urgent for revealing the internal and hidden tissues under the …
medical imaging has become urgent for revealing the internal and hidden tissues under the …
Deep and hybrid learning technique for early detection of tuberculosis based on X-ray images using feature fusion
Tuberculosis (TB) is a fatal disease in developing countries, with the infection spreading
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
Dad-net: Classification of alzheimer's disease using adasyn oversampling technique and optimized neural network
Alzheimer's Disease (AD) is a neurological brain disorder that causes dementia and
neurological dysfunction, affecting memory, behavior, and cognition. Deep Learning (DL), a …
neurological dysfunction, affecting memory, behavior, and cognition. Deep Learning (DL), a …
Accurate detection of Alzheimer's disease using lightweight deep learning model on MRI data
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive
impairment and aberrant protein deposition in the brain. Therefore, the early detection of AD …
impairment and aberrant protein deposition in the brain. Therefore, the early detection of AD …
Automatic and early detection of Parkinson's disease by analyzing acoustic signals using classification algorithms based on recursive feature elimination method
Parkinson's disease (PD) is a neurodegenerative condition generated by the dysfunction of
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
brain cells and their 60–80% inability to produce dopamine, an organic chemical …