Physicians at the University of California, Irvine and UCI Health System have launched the UCI Center for Artificial Intelligence in Diagnostic Medicine, which seeks to advance patient care, improve health outcomes and lower costs by leveraging machine learning technology in all areas of healthcare. Led by Peter D. Chang, MD, and Daniel S. Chow, MD, neuroradiologists in the Department of Radiological Sciences, UCI School of Medicine, the center is a cross-specialty initiative with a specific focus on developing and applying deep learning neural networks to healthcare applications, such as diagnostics, disease prediction and therapy planning. "Our goal is to empower health care providers, researchers and patients through the use of artificial intelligence in healthcare," said Chang. The Center for Artificial Intelligence in Diagnostic Medicine will provide a central research core that enables all UCI faculty, physicians and researchers, to collaborate on translating AI-based concepts into clinical tools to improve individual and population health. "The center will develop machine learning tools that can be implemented for routine clinical use today," said Chow.
Koios Medical, the leader in ultrasound diagnosis decision support software, announces its second 510(k) clearance from the U.S. Food and Drug Administration (FDA). Koios DS (Decision Support) Breast 2.0 is intended for use to assist physicians analyzing breast ultrasound images and aligns a machine learning generated probability of malignancy with the appropriate BI-RADS category. This milestone is an important step in advancing the company's mission of empowering physicians to improve diagnostic accuracy. Now cleared for use at the point of care (or connected to an image viewer for studies stored on PACS), Koios Medical's advancements represent a huge leap forward in using artificial intelligence in healthcare by bringing the power of deep learning to physicians' fingertips. Koios DS Breast 2.0 represents the most advanced AI-based diagnostic technology for ultrasound image analysis to date.
Artificial intelligence (AI) is becoming more common for screening, diagnosing and helping treat eye conditions. The technology already is used in online search engines, speech recognition tools and other smart devices. Now, AI is showing promise in healthcare. Massive amounts of data and growing computing power are fueling these advanced, algorithm-based technologies. Several studies show the potential for AI to help doctors detect eye disease.
Information Age discusses how artificial intelligence is transforming the NHS, and its potential in other sectors too with Charles A. Taylor, founder and chief technology officer at HeartFlow. The potential for AI in healthcare is tremendous as it increasingly becomes integrated into the healthcare ecosystem. AI is transforming the way doctors deliver cost-effective, high-quality diagnostic and treatment services to their patients. For example, the technology can identify patterns and anomalies in diagnostic data from medical scans at a speed and volume that humans are simply unable to replicate. The processing power of AI has applications far beyond providing simple diagnoses.
Imagine if a few hundred microbots were to be introduced into your bloodstream -- their task being the continuous monitoring of your vital signs, or diseases, like a hairline fracture, a clot in an artery or even cancer cells. They will analyze and remove these problems on the go and signal you when you need to take medication or require surgery. With such round-the-clock monitoring, the human body will hardly ever suffer from serious ailments. According to the historian-turned-philosopher, Yuval Noah Harari, with such technology humans can turn a-mortal, if not immortal. At the core of this scientific utopia will be AI technology of various kinds, like deep learning and neural networks.