AI-powered System To Diagnose Glaucoma Using Eye Images

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Scientists from Nanyang Technological College, Singapore (NTU Singapore), in collaboration with clinicians at Tan Tock Seng Hospital (TTSH) in Singapore have developed a novel methodology that uses artificial intelligence (AI) to display for glaucoma, a bunch of eye diseases that can cause vision loss and blindness by means of harm to the optic nerve on the again of the attention. The AI-enabled methodology uses algorithms to differentiate optic nerves with glaucoma from those that are regular by analyzing stereo fundus photos-multi-angle 2D pictures of the retina which can be mixed to form a 3D image. The automated glaucoma analysis technique developed by NTU and TTSH, described in a research published within the peer-reviewed scientific journal Strategies in June 2021, could probably be used in less developed areas where patients lack entry to ophthalmologists, mentioned the scientists. Glaucoma is usually known as "the silent thief of sight" as it's often asymptomatic until latter phases, when prognosis is poor. When examined on stereo fundus photos from TTSH patients undergoing knowledgeable examination, the AI method yielded an accuracy of ninety seven percent in diagnosing glaucoma.

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Sensory neurons there, every geared up with odor receptors specialized to detect specific scents, rework the binding of odor molecules into electrical exercise. For Yang, a computational neuroscientist, and Columbia University graduate scholar Peter Yiliu Wang, this data of the fly's olfactory system represented a novel opportunity. These second-layer neurons, in flip, sign to a larger set of neurons within the third layer. Puzzlingly, these connections seem like random. When an odor is detected, these neurons, which make up the primary layer of the olfactory community, signal to the second layer: a set of neurons that reside in part of the mind referred to as the antennal lobe. In the antennal lobe, sensory neurons that share the identical receptor converge onto the identical second-layer neuron. Yang says. "They don't obtain any enter from neurons expressing other receptors." Because it has fewer neurons than the first layer, this part of the community is taken into account a compression layer.

Samsung unveiled its latest smartphone, a foldable system referred to as the Galaxy Z Fold3, earlier this week. A Google spokesperson declined to say whether or not AI helped design the smartphone chip. Different makers of chip-design software, including Cadence, a competitor to Synopsys, are additionally developing AI instruments to help with mapping out the blueprints for a new chip. Throughout the business, AI seems to be altering the best way chips are made. The corporate did not confirm whether or not the AI-designed chips have gone into production but, or what products they may seem in. A Google analysis paper printed in June described utilizing AI to arrange the elements on the Tensor chips that it uses to train and run AI applications in its knowledge centers. AI "lends itself to those issues that have gotten massively advanced. Google’s subsequent smartphone, the Pixel 6, will characteristic a customized chip manufactured by Samsung. Chipmakers together with Nvidia. IBM are also dabbling in AI-driven chip design.