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👁️ How to Prevent Blindness with AI?

Google developed a deep learning algorithm to detect diabetic retinopathy (DR) and applied it in rural India to combat blindness. The algorithm, based on convolutional neural networks, was trained on almost 130,000 fundus images and achieved high sensitivity (97.5%) and specificity (93.4%) in identifying DR. Google partnered with its healthcare branch to launch a screening system using the algorithm in a clinical setting. However, the algorithm has limitations and cannot replace comprehensive eye examinations.

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⌚️Patients' Thoughts On Wearables and AI

Wearables and AI have numerous benefits in healthcare, but the thoughts of patients on these technologies are uncertain. A study found that almost half of patients saw wearables and AI as a great opportunity, while 11% viewed them as dangerous. Patients also expressed concerns about doctors misusing technology and being replaced by it. The study also explored specific scenarios where patients were asked about their willingness to use AI and wearables, with mixed opinions. The research provides valuable insights into patients' views on wearables and AI, but it is important to consider the limitations of the study.

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