Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond
Deep neural networks have been well-known for their superb handling of various machine
learning and artificial intelligence tasks. However, due to their over-parameterized black-box …
learning and artificial intelligence tasks. However, due to their over-parameterized black-box …
Explainable deep learning models in medical image analysis
Deep learning methods have been very effective for a variety of medical diagnostic tasks
and have even outperformed human experts on some of those. However, the black-box …
and have even outperformed human experts on some of those. However, the black-box …
Deep learning approach for early detection of Alzheimer's disease
Alzheimer's disease (AD) is a chronic, irreversible brain disorder, no effective cure for it till
now. However, available medicines can delay its progress. Therefore, the early detection of …
now. However, available medicines can delay its progress. Therefore, the early detection of …
[HTML][HTML] The foundation and architecture of precision medicine in neurology and psychiatry
Neurological and psychiatric diseases have high degrees of genetic and pathophysiological
heterogeneity, irrespective of clinical manifestations. Traditional medical paradigms have …
heterogeneity, irrespective of clinical manifestations. Traditional medical paradigms have …
Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer's disease dementia: a systematic review
S Grueso, R Viejo-Sobera - Alzheimer's research & therapy, 2021 - Springer
Background An increase in lifespan in our society is a double-edged sword that entails a
growing number of patients with neurocognitive disorders, Alzheimer's disease being the …
growing number of patients with neurocognitive disorders, Alzheimer's disease being the …
New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
Multi-disease prediction based on deep learning: a survey
S Xie, Z Yu, Z Lv - Computer Modeling in Engineering & …, 2021 - ingentaconnect.com
In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …
AI's research in the medical field have allowed people to see the excellent prospects of the …
Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs
Early diagnosis of Alzheimer's disease plays a pivotal role in patient care and clinical trials.
In this study, we have developed a new approach based on 3D deep convolutional neural …
In this study, we have developed a new approach based on 3D deep convolutional neural …
Possible neuroprotective mechanisms of physical exercise in neurodegeneration
B Mahalakshmi, N Maurya, SD Lee… - International journal of …, 2020 - mdpi.com
Physical exercise (PE) improves physical performance, mental status, general health, and
well-being. It does so by affecting many mechanisms at the cellular and molecular level. PE …
well-being. It does so by affecting many mechanisms at the cellular and molecular level. PE …