Ophthalmology, with its heavy reliance on imaging, is an innovator in the field of artificial intelligence (AI) in medicine. Although the opportunities for patients and health care professionals are great, hurdles to fully integrating AI remain, including economic, ethical, and data-privacy issues. Deep learning According to Konstantinos Balaskas, MD, FEBO, MRCOphth, a retinal expert at Moorfields Eye Hospital, London, United Kingdom, and director of the Moorfields Ophthalmic Reading Centre and AI Analytics Hub, AI is a broad term. "The type of AI that has generated a lot of excitement in recent years is called'deep learning,' " he said. "This is a process by which software programs learn to perform certain tasks by processing large quantities of data." Deep learning is what has made ophthalmology a pioneer in the field of implementing AI in medicine, because we are increasingly reliant on imaging tests to monitor our patients.

Google-owned DeepMind is to collaborate with a UK hospital to help doctors spot more than 50 different eye diseases using AI. When it isn't creating artificial intelligence (AI) capable of destroying human opponents in a game of Go, Google-owned DeepMind is trying to build other systems that could transform healthcare, among other things. Now, the UK-based company has revealed a joint research partnership with Moorfields Eye Hospital that could help spot sight-threatening eye diseases much quicker than before. Publishing its findings in Nature Medicine, the company said that its latest AI can quickly run through eye scans taken from routine clinical practice and identify more than 50 serious diseases as accurately as world-leading expert doctors. Under existing systems, ophthalmologists use 3D images called optical coherence tomography (OCT) to create a detailed map of a person's eye.

Artificial intelligence can diagnose eye disease as accurately as some leading experts, research suggests. A study by Moorfields Eye Hospital in London and the Google company DeepMind found that a machine could learn to read complex eye scans and detect more than 50 eye conditions. Doctors hope artificial intelligence could soon play a major role in helping to identify patients who need urgent treatment. They hope it will also reduce delays. A team at DeepMind, based in London, created an algorithm, or mathematical set of rules, to enable a computer to analyse optical coherence tomography (OCT), a high resolution 3D scan of the back of the eye.

England's Grand National run at Aintree is gruelling. It has 30 fences, two with open ditches, in a distance of 2.25 miles that's completed twice. AI has just moved up the field in the eHealth equivalent. An AI project at London's Moorfields Eye Hospital with Google's DeepMind has accurately diagnosed eye conditions from scans. As ophthalmologists' workloads and their complexities increase, diagnostic imaging is expanding faster than specialists can interpret the results.

But a new system designed by Google DeepMind and British doctors goes a crucial step further: It can show users how it reached its conclusions. A study published Monday in Nature Medicine reports that the DeepMind system can identify dozens of diseases and point out the portions of optical coherence tomography scans that it relies upon to make its diagnoses. That's a crucial factor in validating the safety and efficacy of AI technologies being developed for use in diagnosing or recommending treatments for a broad range of diseases, from cancer to neurological and vision problems. The paper states that the system made the right referral recommendation in more than 94 percent of cases based on a review of historic patient scans at Moorfields Eye Hospital in London and performed as good as, or better than, top eye specialists who examined the same scans. Experts said that level of accuracy is impressive on such an open-ended query.

AI can help ophthalmologists diagnose more than 50 common eye diseases from retinal scans, according to a paper published in Nature Medicine on Monday. Researchers from DeepMind, University College London (UCL), and Moorfields Eye Hospital in London, have developed a system based on two neural networks that analyses 3D optical coherence tomography scans. First, a convolutional neural network processes the scanned image and converts it into a tissue map, detailing its anatomy and features. This is then fed into a second convolutional neural network that analyses the eye tissues in detail to diagnose diseases and recommend treatment plans, such as if the patient needs to be book a further appointment with an ophthalmologist or not. It can, apparently, recommend the right referral procedure with 94 per cent accuracy for over 50 diseases such as age-related macular degeneration, a common condition amongst the elderly.

A new machine-learning system is as good as the best human experts at detecting eye problems and referring patients for treatment, say scientists. The groundbreaking artificial intelligence system, developed by the AI-outfit DeepMind with Moorfields eye hospital NHS foundation trust and University College London, was capable of correctly referring patients with more than 50 different eye diseases for further treatment with 94% accuracy, matching or beating world-leading eye specialists. "The results of this pioneering research with DeepMind are very exciting and demonstrate the potential sight-saving impact AI could have for patients," said Prof Sir Peng Tee Khaw, the director of the NIHR Biomedical Research Centre at Moorfields eye hospital and the UCL Institute of Ophthalmology. The two-stage AI system takes a more human-like and intelligible approach to analysing the highly complex optical coherence tomography (OCT) scans of patient retinas. These are commonly used to triage patients with sight problems into four clinical categories: urgent, semi-urgent, routine and observation only.

DeepMind has successfully developed a system that can analyze retinal scans and spot symptoms of sight-threatening eye diseases. Today, the AI division -- owned by Google's parent company Alphabet -- published "early results" of a research project with the UK's Moorfields Eye Hospital. They show that the company's algorithms can quickly examine optical coherence tomography (OCT) scans and make diagnoses with the same accuracy as human clinicians. In addition, the system can show its workings, allowing eye care professionals to scrutinize the final assessment. At the moment, hospitals and clinics use flesh-and-bone specialists to dissect OCT scans.

Artificial intelligence developed by Google could soon be used to diagnose disease faster than doctors. The technology giant's AI firm, DeepMind, has a number of contracts with NHS hospitals to use its technology to improve detection and treatment of certain conditions from cancer to eye disease. Researchers have now submitted what it described as'promising' initial findings to a medical journal from a two-year project working with Moorfields Eye Hospital in London. It is thought that the technology, which has been programmed to detect signs of disease such as glaucoma, age related macular degeneration and diabetic retinopathy, could enter clinical trials within a couple of years. Retinal scans from thousands of patients were used to develop an algorithm - a set of mathematical instructions or rules that can work out answers to problems - to spot signs of disease.

Alphabet-owned Artificial Intelligence laboratory DeepMind is bankrolling NHS research, Business Insider has revealed. The London-based company has provided Moorfields Eye Hospital's trust with £110,000 in funding since July 2016-- when the two organisations kick-started a partnership to test DeepMind's new technology to diagnose eye diseases. The collaboration had already sparked controversy, as over one million patient data were processed by DeepMind's algorithm: this raised questions on patients' consent to data treatment and the opportunity of sharing clinical data with a private technology corporation. Business Insider, which obtained the information under an FOI request, says that DeepMind's payment went to cover "the costs incurred by the [Moorfields Eye Hospital's] Trust", rather than being a fee to access patient data. The hospital did not pay any money to DeepMind.