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Bringing the predictive power of artificial intelligence to health care

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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?

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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.


AI Powered Cancer Screening Coming to the NHS -- AI Daily - Artificial Intelligence News

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With Ibex's Galen Prostate solution, prostate biopsies will be reviewed using a highly accurate AI algorithm that checks for inconsistencies between the pathologist's findings and what it detects. In the case of a significant discrepancy, the pathologists will be notified, creating a valuable layer of protection against mistakes, potentially saving many patients from false negatives. In an ongoing audit at the request of the NHS Trust, their AI algorithm was able to spot otherwise unnoticed prostate cancer, showing just how valuable this tech is. The use of AI shows great promise in healthcare, and it's reassuring to see plans for its implementation in cancer screening. Without doubt, it won't be long before we see artificial intelligence being a crucial tool to all avenues of medicine.


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.


Autonomous robots check patients in at Belgium hospitals

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Antwerp University Hospital (UZA) in Belgium is using an AI-powered robot to greet patients, check temperatures, and ensure masks are worn correctly. By removing initial human-to-human contact, the multilingual robot makes life a little easier and safer for hospital staff. The robot works pretty intuitively. As patients enter the hospital, they collect a barcode and feed it into the robot. This then uses temperature measurement cameras and ultrasonic sensors to check that the patient is safe.


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.


Artificial Intelligence: Is It Armageddon for Breast Radiologists? – Tech Check News

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Artificial Intelligence (AI) has taken radiology by storm, in particular, mammogram interpretation, and we have seen a recent surge in the number of publications on potential uses of AI in breast radiology. Breast cancer exerts a lot of burden on the National Health Service (NHS) and is the second most common cancer in the UK as of 2018. New cases of breast cancer have been on the rise in the past decade, while the survival rate has been improving. Source: Artificial Intelligence: Is It Armageddon for Breast Radiologists?


Johns Hopkins Medicine CEO: Predictive analytics, precision medicine and AI are the future of …

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Dr. Rothman said the health system is using artificial intelligence and machine learning in its platform and aims to collaborate with others to …