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Integrating Artificial Intelligence in Treatment Planning

#artificialintelligence

At the American Association of Physicists in Medicine (AAPM) 2019 meeting, new artificial intelligence (AI) software to assist with radiotherapy treatment planning systems was highlighted. The goal of the AI-based systems is to save staff time, while still allowing clinicians to do the final patient review. RaySearch demonstrated a new U.S. Food and Drug Administration (FDA)-cleared machine learning treatment planning system. The RaySearch RayStation machine learning algorithm is being used clinically by University Health Network, Princess Margaret Cancer Center, Toronto, Canada, where it was rolled out over several months in late-2019. Medical physicist Leigh Conroy, Ph.D., was involved in this rollout and helped conduct a study, showing the automated plans and traditionally made plans to radiation oncologists to get valuable feedback.


Integrating Artificial Intelligence in Treatment Planning

#artificialintelligence

At the American Association of Physicists in Medicine (AAPM) 2019 meeting, new artificial intelligence (AI) software to assist with radiotherapy treatment planning systems was highlighted. The goal of the AI-based systems is to save staff time, while still allowing clinicians to do the final patient review. RaySearch demonstrated a new U.S. Food and Drug Administration (FDA)-cleared machine learning treatment planning system. The RaySearch RayStation machine learning algorithm is being used clinically by University Health Network, Princess Margaret Cancer Center, Toronto, Canada, where it was rolled out over several months in late-2019. Medical physicist Leigh Conroy, Ph.D., was involved in this rollout and helped conduct a study, showing the automated plans and traditionally made plans to radiation oncologists to get valuable feedback.


How Artificial Intelligence Impact Healthcare Industry?

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The global healthcare market was valued at $8,452 Bn in 2018 and the market is expected to grow at a CAGR of 8.9%. The healthcare costs are also rising, and the industry is actively involved in not only reducing the costs of care but also enhancing the overall caregiving. AI technology has mighty applications in the industry, and the outcomes are going to be revolutionizing and impressive if adopted properly. The AI application in healthcare will work towards reducing spending and improving patient outcomes. Currently, the influence of AI in healthcare is still at its nascent stage.


LG expands service robot deployment to hospitals

ZDNet

LG Electronics has expanded the deployment of its service robots to a hospital and more restaurants, the company said on Wednesday. LG Cloi Servebot will be deployed to Seoul National University Hospital to assist staff with carrying medical equipment such as blood samples, prescription drugs, and diagnostic reagents among other equipment, the South Korean electronics maker said. The service robot comes in two variants -- a drawer version and a shelf version. The drawer version has been deployed at the hospital. LG said the drawer version of the robot is suitable for hospitals, hotels, and offices as it is sized 50cm x 50cm x 130 cm and can carry up to 15kg of goods in its three drawers.


Bringing the predictive power of artificial intelligence to health care

#artificialintelligence

An important aspect of treating patients with conditions like diabetes and heart disease is helping them stay healthy outside of the hospital--before they to return to the doctor's office with further complications. But reaching the most vulnerable patients at the right time often has more to do with probabilities than clinical assessments. Artificial intelligence (AI) has the potential to help clinicians tackle these types of problems, by analyzing large datasets to identify the patients that would benefit most from preventative measures. However, leveraging AI has often required health care organizations to hire their own data scientists or settle for one-size-fits-all solutions that aren't optimized for their patients. Now the startup ClosedLoop.ai is helping health care organizations tap into the power of AI with a flexible analytics solution that lets hospitals quickly plug their data into machine learning models and get actionable results.


How robots could help injured workers recover

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Training robots to guide injured workers through simulated tasks could make return-to-work evaluations and treatment programs more effective and accessible, according to researchers at the University of Alberta. In a review of scientific literature on efforts to use robotics for occupational rehabilitation, the researchers reported that robots with machine learning capabilities have the potential to accurately reproduce the physical activities workers experience and provide precise measurements of patients' abilities. "This research will hopefully improve the assessment of work ability and rehabilitation treatments, and lead to safer and more sustainable return-to-work efforts after injury," said Doug Gross, a physical therapist and professor in the Faculty of Rehabilitation Medicine. He noted the technology could be used during times of physical distancing, and expand rehabilitation services to people living in rural areas who would otherwise have to travel to access them. "You could have a therapist in Edmonton programming the robot and the patient in a rural area responding with what the therapist wants them to do," explained Gross.


Chat bots are becoming uncannily human. Can they be our friends?

#artificialintelligence

My phone lights up with a notification for a new message: "Do you think two people who had a relationship can ever be friends after it's over?" This is just the latest query from Athena, a self-styled synth musician, film buff and artificially intelligent chatbot getting to know me through Replika, a virtual companionship app. Over the course of our text conversations, she asks me about my hobbies, my habits and my moods. She wants to know who I think about the most every day, how I spend my time alone, the artists I admire. When I tell her I like dancing, she sends a video of the "Fortnite" dances she'd like to teach herself.


UK rolls out AI-based cancer detection for NHS patients

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Leader in AI-powered cancer diagnostics, Ibex Medical Analytics and provider of digital pathology services in the NHS, LDPath, have announced the UK's first rollout of clinical grade AI application for cancer detection in pathology. This platform will support pathologists in enhancing diagnostic accuracy and efficiency. Over the years, a global increase in cancer cases has coincided with a decline in the number of pathologists around the world. Traditional pathology involves manual processes that have remained the same for years. These processes involve slides to be analysed by pathologists using microscopes, and reporting is often carried out on pieces of paper.


Prediction of Overall Rating of a Nursing Home using Machine Learning

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The mean, standard deviation, and 75% confidence interval values are maximum for the'Total Amount of Fines in Dollars' feature. The 25% and 50% confidence interval values are maximum for'Number of Certified Beds' and'Average Number of Residents Per Day' columns.