Drawbacks of artificial intelligence and their potential solutions in the healthcare sector
Artificial intelligence (AI) has the potential to make substantial progress toward the goal of
making healthcare more personalized, predictive, preventative, and interactive. We believe …
making healthcare more personalized, predictive, preventative, and interactive. We believe …
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] The potential for artificial intelligence in healthcare
T Davenport, R Kalakota - Future healthcare journal, 2019 - Elsevier
The complexity and rise of data in healthcare means that artificial intelligence (AI) will
increasingly be applied within the field. Several types of AI are already being employed by …
increasingly be applied within the field. Several types of AI are already being employed by …
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
Obtaining expert labels in clinical imaging is difficult since exhaustive annotation is time-
consuming. Furthermore, not all possibly relevant markers may be known and sufficiently …
consuming. Furthermore, not all possibly relevant markers may be known and sufficiently …
Clinically applicable deep learning for diagnosis and referral in retinal disease
The volume and complexity of diagnostic imaging is increasing at a pace faster than the
availability of human expertise to interpret it. Artificial intelligence has shown great promise …
availability of human expertise to interpret it. Artificial intelligence has shown great promise …
[HTML][HTML] Artificial intelligence in retina
U Schmidt-Erfurth, A Sadeghipour, BS Gerendas… - Progress in retinal and …, 2018 - Elsevier
Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …
condition of the retina and beyond ocular disease. Digital images providing millions of …
Deep learning in ophthalmology: the technical and clinical considerations
The advent of computer graphic processing units, improvement in mathematical models and
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study
Background Radical measures are required to identify and reduce blindness due to
diabetes to achieve the Sustainable Development Goals by 2030. Therefore, we evaluated …
diabetes to achieve the Sustainable Development Goals by 2030. Therefore, we evaluated …
Utilization of artificial intelligence in disease prevention: Diagnosis, treatment, and implications for the healthcare workforce
Artificial intelligence (AI) has been described as one of the extremely effective and promising
scientific tools available to mankind. AI and its associated innovations are becoming more …
scientific tools available to mankind. AI and its associated innovations are becoming more …
[HTML][HTML] Real-world outcomes in patients with neovascular age-related macular degeneration treated with intravitreal vascular endothelial growth factor inhibitors
Clinical trials identified intravitreal vascular endothelial growth factor inhibitors (anti-VEGF
agents) have the potential to stabilise or even improve visual acuity outcomes in …
agents) have the potential to stabilise or even improve visual acuity outcomes in …