History of artificial intelligence in medicine
V Kaul, S Enslin, SA Gross - Gastrointestinal endoscopy, 2020 - Elsevier
Artificial intelligence (AI) was first described in 1950; however, several limitations in early
models prevented widespread acceptance and application to medicine. In the early 2000s …
models prevented widespread acceptance and application to medicine. In the early 2000s …
[HTML][HTML] Blockchain and artificial intelligence technology in e-Health
P Tagde, S Tagde, T Bhattacharya, P Tagde… - … Science and Pollution …, 2021 - Springer
Blockchain and artificial intelligence technologies are novel innovations in healthcare
sector. Data on healthcare indices are collected from data published on Web of Sciences …
sector. Data on healthcare indices are collected from data published on Web of Sciences …
[HTML][HTML] 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 …
High-performance medicine: the convergence of human and artificial intelligence
EJ Topol - Nature medicine, 2019 - nature.com
The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …
enabled by the use of labeled big data, along with markedly enhanced computing power …
[HTML][HTML] The application of deep learning in cancer prognosis prediction
Deep learning has been applied to many areas in health care, including imaging diagnosis,
digital pathology, prediction of hospital admission, drug design, classification of cancer and …
digital pathology, prediction of hospital admission, drug design, classification of cancer and …
[HTML][HTML] 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 …
[HTML][HTML] Technology and dementia: The future is now
Background: Technology has multiple potential applications to dementia from diagnosis and
assessment to care delivery and supporting ageing in place. Objectives: To summarise key …
assessment to care delivery and supporting ageing in place. Objectives: To summarise key …
Medicine and the rise of the robots: a qualitative review of recent advances of artificial intelligence in health
E Loh - BMJ leader, 2018 - bmjleader.bmj.com
Artificial intelligence (AI) has the potential to significantly transform the role of the doctor and
revolutionise the practice of medicine. This qualitative review paper summarises the past 12 …
revolutionise the practice of medicine. This qualitative review paper summarises the past 12 …
[HTML][HTML] β-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline
Clinical trials focusing on therapeutic candidates that modify β-amyloid (Aβ) have repeatedly
failed to treat Alzheimer's disease (AD), suggesting that Aβ may not be the optimal target for …
failed to treat Alzheimer's disease (AD), suggesting that Aβ may not be the optimal target for …
[HTML][HTML] Enhancing kidney transplant care through the integration of chatbot
OA Garcia Valencia, C Thongprayoon, CC Jadlowiec… - Healthcare, 2023 - mdpi.com
Kidney transplantation is a critical treatment option for end-stage kidney disease patients,
offering improved quality of life and increased survival rates. However, the complexities of …
offering improved quality of life and increased survival rates. However, the complexities of …