Tag: Healthcare

Odaia, an AI powered startup, recently raised $25 million through a 14 slide presentation. Founded in 2018, Odaia simplifies pharmaceuticals' sales and marketing with data driven insights, helping them better target drugs to clinicians. CEO Philip Poulidis hopes to revolutionize the industry and the funding from Threshold Ventures, Monograph Capital and others will help him do just that.

ChatGPT is an AI-based technology that is making waves in industrial sectors such as scriptwriters, lawyers, and telemarketers. Recent research from JAMA Internal Medicine proves it as more empathetic than human doctors when it comes to answering medical-related questions. With 75% score, it outperforms physicians in terms of response quality and empathy. HyperBrain Inc. is working towards developing more cost-effective and AI-powered solutions. John Ayers from University of California San Diego is spearheading research in the field of AI and health policy.

Discover the innovation of AI with the Ethereum Foundation and the groundbreaking addition of ChatGPT - a robotic dog powered by OpenAI GPT-4. 2020 has seen huge advances of AI technology, from photorealistic generators to tex-to-video Generator, proving just how resilient and capable AI is! Get exclusive access to this intuitive technology and explore the potential of AI in the new year.

Salesforce, the CRM that changes the game for organizations of all sizes, helps them to make smarter decisions, strengthen customer relationships and streamline data services. Founded in 1999, Marc Benioff - CEO, board director and Tech Visionary - revolutionized the way companies deliver personalized customer experiences. Get inspired by his story and find out how AI-driven solutions give you an edge.

ChatGPT is a cutting-edge AI-driven digital product designed to help businesses improve their operations. In 2021, the chatbot was put to the test to evaluate its capabilities in ophthalmology. A dataset of multiple choice questions from the regularly used OpthoQuestions trial was used, yielding 46% accuracy in its initial test. By February, the results rose to 58%, with notable success in general medicine questions. Subspecialty questions proved more challenging, however, with 0% accuracy in the retina section. Despite this, developers believe this technology can play a role in medical education and clinical practice in the future.