Health & Medicine

Artificial Intelligence in Healthcare


Artificial Intelligence in Healthcare is already a reality. Healthcare providers have embedded the technology into their workflows and the decision-making process. The introduction of Artificial Intelligence in healthcare has brought improvements for patients, providers, payers and other healthcare stakeholders as well as society at large.

Why the AI story needs to be told from end to beginning


It is an unfortunate truth that most people around the world don't have a real understanding of what artificial intelligence (AI) is. The same is true for many of the influential people who are in active discussions and working with companies where AI plays a significant part in our future. In fact, a recent survey found that most organisations don't have a clear understanding of how AI or machine learning will help their businesses. In general, people's perception of what AI is comes from movies and media, with doomsday scenarios and super intelligent robots taking over the world. It's not surprising given the unprecedented speed of development in AI, and the hype that has come with it.

Artificial Intelligence and Health Care: Our Progressing Relationship with Medicine - Legal Reader


As technology advances, particularly with artificial intelligence, changes are being seen in all industries. Health care is no exception. The prime reason for all sorts of technological advancements made throughout history are in one way or another is the desire of people to better their lives. This is particularly relevant to the natural human longing for longevity and eternal youth. Those two concepts are often heavily associated with having high living standards and better health care.

Glimpsing into the Future of AI: A Conversation with Yolanda Gil - USC Viterbi School of Engineering


Yolanda Gil, a research director at the USC Viterbi Information Sciences Institute (ISI), co-authored a new 20-year Artificial Intelligence Roadmap. An outbreak of a highly contagious mosquito-borne virus in the U.S. has spread quickly to major cities around the world. It's all hands on deck to stop the disease from spreading–and that includes the deployment of artificial intelligence (AI) systems, which scour online news and social media for relevant data and patterns. In consultation with human scientists, AI systems could help contain infectious diseases and identify effective vaccines. Working with these results, and data gathered from numerous hospitals around the world, scientists discover an interesting link to a rare neurological condition and a treatment is developed.

Driving AI's potential in organizations


For some organizations, harnessing artificial intelligence's full potential begins tentatively with explorations of select enterprise opportunities and a few potential use cases. While testing the waters this way may deliver valuable insights, it likely won't be enough to make your company a market maker (rather than a fast follower). To become a true AI-fueled organization, a company may need to fundamentally rethink the way humans and machines interact within working environments. Executives should also consider deploying machine learning and other cognitive tools systematically across every core business process and enterprise operation to support data-driven decision-making. Likewise, AI could drive new offerings and business models. These are not minor steps, but as AI technologies standardize rapidly across industries, becoming an AI-fueled organization will likely be more than a strategy for success--it could be table stakes for survival. In his new book The AI Advantage, Deloitte Analytics senior adviser Thomas H. Davenport describes three stages in the journey that companies can take toward achieving full utilization of artificial intelligence.1 In the first stage, which Davenport calls assisted intelligence, companies harness large-scale data programs, the power of the cloud, and science-based approaches to make data-driven business decisions. Today, companies at the vanguard of the AI revolution are already working toward the next stage--augmented intelligence--in which machine learning (ML) capabilities layered on top of existing information management systems work to augment human analytical competencies. According to Davenport, in the coming years, more companies will progress toward autonomous intelligence, the third AI utilization stage, in which processes are digitized and automated to a degree whereby machines, bots, and systems can directly act upon intelligence derived from them. The journey from the assisted to augmented intelligence stages, and then on to fully autonomous intelligence, is part of a growing trend in which companies transform themselves into "AI-fueled organizations."

Looking to the Future


Innovations in cancer research through interdisciplinary team science approaches will help shape the future of patient care. Integration and mining of health care data from various sources will allow researchers to gain more insights into cancer biology and thereby improve patient outcomes. Cutting-edge technologies that fuel the full spectrum of cancer science from bench to bedside will accelerate the pace at which we increase our understanding of cancer biology while transforming the future of clinical practice. This is an exciting era of cancer research. Approval of novel therapeutics, coupled with an increasing public awareness of cancer prevention and early detection, has led to dramatic reductions in overall cancer mortality rates for all Americans.

Will One Small Step for AI Be One Giant Leap for Robotics?


Have you ever wondered how human-like a robot can become? Researchers are one step closer, literally, to machines having more human-like capabilities. A cross-disciplinary research team from the University of Southern California (USC) departments of engineering (biomedical, electrical, aerospace and mechanical), computer science, biokinesiology, and physical therapy joined forces to create a robot that can teach itself to walk. Valero-Cuevas published their findings recently in Nature Machine Intelligence on March 11, 2019. The researchers created a "biologically plausible algorithm" called "G2P" (general to particular).

Mayo Clinic CIO: 'This artificial intelligence stuff is real'


SANTA CLARA – Mayo Clinic Chief Information Officer Cris Ross put it plainly during his keynote speech at Health 2.0 this week: "Our systems are not adequately supporting our doctors, in lots and lots of ways." And he counts his own world-class health system as one of them. Mayo Clinic completed a landmark four-year, 90-hospital, $1.5 billion Epic implementation in 2018. But while it was "an enormous project and by all objective measures we did just fine," said Ross, "we're also still at place where our doctors are frustrated and our patients are not seeing a particular difference by us doing that." Providers want to know that they have meaningful work, where they are operating in an efficient and effective way and that they're delivering the best treatment that's appropriate, he explained.

Catalia Health and Pfizer collaborate on robots for healthcare


Catalia Health and Pfizer today announced they have launched a pilot program to explore patient behaviors outside of clinical environments and to test the impact regular engagement with artificial intelligence (AI) has on patients' treatment journeys. The 12-month pilot uses the Mabu Wellness Coach, a robot that uses artificial intelligence to gather insights into symptom management and medication adherence trends in select patients. The Mabu robot can interact with patients using AI algorithms to engage in tailored, voice-based conversations. Mabu "talks" with patients about how they are feeling and helps answer questions they may have about their treatment. The Mabu Care Insights Platform then delivers detailed data and insights to clinicians at a specialty pharmacy provider to help human caregivers initiate timely and appropriate outreach to the patient.