AI in health and medicine
Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the
experiences of both clinicians and patients. We discuss key findings from a 2-year weekly …
experiences of both clinicians and patients. We discuss key findings from a 2-year weekly …
[HTML][HTML] Artificial intelligence in healthcare: transforming the practice of medicine
Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the
potential to fundamentally transform the practice of medicine and the delivery of healthcare …
potential to fundamentally transform the practice of medicine and the delivery of healthcare …
[HTML][HTML] Diabetic retinopathy: Looking forward to 2030
Diabetic retinopathy (DR) is the major ocular complication of diabetes mellitus, and is a
problem with significant global health impact. Major advances in diagnostics, technology …
problem with significant global health impact. Major advances in diagnostics, technology …
Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
[HTML][HTML] A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study
Background There is no simple model to screen for Alzheimer's disease, partly because the
diagnosis of Alzheimer's disease itself is complex—typically involving expensive and …
diagnosis of Alzheimer's disease itself is complex—typically involving expensive and …
[HTML][HTML] Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study
P Ruamviboonsuk, R Tiwari, R Sayres… - The Lancet Digital …, 2022 - thelancet.com
Background Diabetic retinopathy is a leading cause of preventable blindness, especially in
low-income and middle-income countries (LMICs). Deep-learning systems have the …
low-income and middle-income countries (LMICs). Deep-learning systems have the …
[HTML][HTML] Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology
The COVID-19 pandemic has resulted in massive disruptions within health care, both
directly as a result of the infectious disease outbreak, and indirectly because of public health …
directly as a result of the infectious disease outbreak, and indirectly because of public health …
Multicenter, head-to-head, real-world validation study of seven automated artificial intelligence diabetic retinopathy screening systems
OBJECTIVE With rising global prevalence of diabetic retinopathy (DR), automated DR
screening is needed for primary care settings. Two automated artificial intelligence (AI) …
screening is needed for primary care settings. Two automated artificial intelligence (AI) …
[HTML][HTML] Artificial Intelligence and Diabetic Retinopathy: AI Framework, prospective studies, head-to-head validation, and cost-effectiveness
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 …
detection of referable diabetic retinopathy (DR), one of the leading causes of new-onset …
[HTML][HTML] Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods
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 …
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …