New Delhi, May 28 (PTI) An artificial intelligence-driven smartphone app has been launched by AIIMS-Delhi along with Nurithm labs, a start-up, to address the access and accuracy problems in clinical diagnosis of dermatological diseases, including skin and oral cancers. DermaAId, the skin disease diagnostic solution, uses a machine-learning AI-driven algorithm encapsulated in a mobile app and transforms a basic smartphone with a 1 MP camera into a potent tool in skincare, Dr Somesh Gupta, a Professor in the Department of Dermatology and Venereology at AIIMS, told PTI. For general practitioners, it is a clinical decision support tool to augment their capability and understanding of skin conditions. This is particularly relevant since studies have revealed that diagnostic accuracy among general practitioners vis-à-vis dermatologists is 40 to 50 per cent, Dr Gupta pointed out. "The technology behind the app is deceptively simple. A doctor takes a photo of lesions on a patient's body and uploads them to the cloud server. Within 15-30 seconds, the app provides possible disease conditions based on machine analysis of images," he explained.

As a result, more than two thirds (68%) are calling on their employers to deploy more AI-based technology to help them execute their daily work better and faster. According to IDC, global spending on AI technologies reached $50.1 billion in 2020, a figure that is expected to double in the next four years. So it's no surprise that AI is transforming the workplace as a result. But while employees were initially skeptical of this technology, new data suggests perception is shifting. This new study, conducted across the US and UK, sought to understand how workers across various lines of business – from HR to Finance to Marketing, and more – feel about working with AI technologies today.

Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. Taking a task-based approach, you ll learn how to build features that use powerful AI features to identify images, make predictions, generate content, recommend things, and more.AI is increasingly essential for every developer and you don t need to be a data scientist or mathematician to take advantage of it in your apps. Learn where and how AI-driven features make sense. Inspect tools such as Apple s Python-powered Turi Create and Google s Swift for TensorFlow to train and build models.

You list your symptoms, answer a few questions about how long they've lasted and whether they seem to be getting worse. Then, without ever leaving home or queueing at the clinic, you get the diagnosis: a strained neck. Or, at least, eight out of 10 people with those symptoms have one. Would you like to have your case reviewed by a human doctor? The free app Ada, which offered up this diagnosis, was launched in the UK in April.

The NHS could be applying machine learning-style processing to its patient, doctor and hospital data in an effort to improve efficiency within five years if plans by Google/DeepMind to push into the healthcare sector are approved. According to New Scientist, which has obtained a Memorandum of Understanding drawn up between DeepMind and the Royal Free NHS Trust in London, the two organisations are attempting to form a "broad ranging, mutually beneficial partnership, engaging in high levels of collaborative activity and maximising the potential to work on genuinely innovative and transformative projects." Among the areas the project aims to touch on are making improvements in clinical outcomes and patient safety, and reducing costs throughout the organisation. The memo also sets out a long list of "areas of mutual interest" where the two organisations could work together over the next five years, including bed and demand management software, financial control products, private messaging and task management for junior doctors, and even real-time health prediction. In fact, health prediction has formed the basis of the first project between the two partners, with Google/DeepMind creating an app called Streams that aims to study healthcare data to try to identify patients at risk of deterioration, readmission or even death.