[HTML][HTML] Artificial intelligence (AI) and internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare

P Manickam, SA Mariappan, SM Murugesan, S Hansda… - Biosensors, 2022 - mdpi.com
Artificial intelligence (AI) is a modern approach based on computer science that develops
programs and algorithms to make devices intelligent and efficient for performing tasks that …

Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy

K Freeman, J Geppert, C Stinton, D Todkill, S Johnson… - bmj, 2021 - bmj.com
Objective To examine the accuracy of artificial intelligence (AI) for the detection of breast
cancer in mammography screening practice. Design Systematic review of test accuracy …

[HTML][HTML] Artificial intelligence applications in health care practice: scoping review

M Sharma, C Savage, M Nair, I Larsson… - Journal of medical …, 2022 - jmir.org
Background Artificial intelligence (AI) is often heralded as a potential disruptor that will
transform the practice of medicine. The amount of data collected and available in health …

[HTML][HTML] Artificial intelligence technologies and compassion in healthcare: A systematic scoping review

E Morrow, T Zidaru, F Ross, C Mason, KD Patel… - Frontiers in …, 2023 - frontiersin.org
Background Advances in artificial intelligence (AI) technologies, together with the availability
of big data in society, creates uncertainties about how these developments will affect …

Artificial intelligence: the future for diabetes care

S Ellahham - The American journal of medicine, 2020 - Elsevier
Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global
pandemic, can reform the approach to diagnosis and management of this chronic condition …

Deep learning for diabetes: a systematic review

T Zhu, K Li, P Herrero… - IEEE Journal of Biomedical …, 2020 - ieeexplore.ieee.org
Diabetes is a chronic metabolic disorder that affects an estimated 463 million people
worldwide. Aiming to improve the treatment of people with diabetes, digital health has been …

[HTML][HTML] Deep learning for diabetic retinopathy detection and classification based on fundus images: A review

N Tsiknakis, D Theodoropoulos, G Manikis… - Computers in biology …, 2021 - Elsevier
Diabetic Retinopathy is a retina disease caused by diabetes mellitus and it is the leading
cause of blindness globally. Early detection and treatment are necessary in order to delay or …

Mapping research strands of ethics of artificial intelligence in healthcare: a bibliometric and content analysis

T Saheb, T Saheb, DO Carpenter - Computers in Biology and Medicine, 2021 - Elsevier
The growth of artificial intelligence in promoting healthcare is rapidly progressing.
Notwithstanding its promising nature, however, AI in healthcare embodies certain ethical …

[HTML][HTML] Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods

G Selvachandran, SG Quek, R Paramesran… - Artificial intelligence …, 2023 - Springer
The exponential increase in the number of diabetics around the world has led to an equally
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …

[HTML][HTML] Artificial Intelligence and Diabetic Retinopathy: AI Framework, prospective studies, head-to-head validation, and cost-effectiveness

AE Rajesh, OQ Davidson, CS Lee, AY Lee - Diabetes care, 2023 - Am Diabetes Assoc
Current guidelines recommend that individuals with diabetes receive yearly eye exams for
detection of referable diabetic retinopathy (DR), one of the leading causes of new-onset …