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health & medicine

Artificial Intelligence Could Reduce Time To Diagnose Breast Cancer - AI Summary


Google Health has teamed up with Northwestern Medicine to explore whether artificial intelligence (AI) could prioritise reviews of mammograms with a higher suspicion of breast cancer. Women whose mammograms show a higher likelihood of breast cancer might be able to be seen the same day for follow up, according to a statement from Northwestern Medicine. Dr Sarah Friedewald, associate professor of radiology at Northwestern University Feinberg School of Medicine, said: "With the use of artificial intelligence, we hope to expedite the process to diagnosis of breast cancer by identifying suspicious findings on patients' screening examinations earlier than the standard of care. The Goolge-funded study builds on research conducted by Northwestern Medicine, Google Health and the NHS in 2020, which found AI screening of mammograms was as accurate as human experts. Dr Mozziyar Etemadi, research assistant professor of anesthesiology at Northwestern Medicine, added: "This study is the next step by applying the AI models in a prospective study to better understand how AI can be the most helpful for clinicians and patients in the real world."

Japanese Companies Go High-Tech in the Battle Against Food Waste


Japanese convenience store chain Lawson is using artificial intelligence to identify goods on shelves that go unsold or fall short of demand. Japanese firms are accelerating the use of advanced technology to combat food waste and reduce costs during the Covid-19 pandemic. Convenience store chain Lawson is using artificial intelligence (AI) from U.S. company DataRobot to identify goods on shelves that go unsold or fall short of demand. Meanwhile, multinational brewing and distilling company Suntory Beverage & Food is testing AI from Fujitsu to ascertain if inventory has been damaged in shipping. Suntory hopes the AI will reduce the return of goods by 30% to 50%, slash food waste costs, and yield a common standard for use by other food manufacturers and shipping firms.

AI and ML: Key Drivers to Building a Resilient Business


The previous year has shown us that you have to be prepared for both expected and unexpected disruption, emerging risks, and economic uncertainties. Your business models and operations, employees and technology have to be agile and resilient. New business risks are everywhere. What challenges can organizations expect in the emerging and evolving risk landscape, and how can they overcome them? Ronald van Loon is a Protiviti partner, and recently had the opportunity to examine their study, conducted jointly with North Carolina State University Poole College of Management's Enterprise Risk Management (ERM) Initiative, on Executive Perspectives on Top Risks:2021 and 2030 and share his outlook regarding the shifting risk landscape and its impact on modern organizations.

Learn Machine Learning With Real World Project S1


Description Data Science is rapidly growing to occupy all the industries of the world today. Medicine and healthcare are two of the most important part of our human lives. Traditionally, medicine solely relied on the discretion advised by the doctors. For example, a doctor would have to suggest suitable treatments based on a patient's symptoms. However, this wasn't always correct and was prone to human errors.

Kazuo Ishiguro's Klara and the Sun explains why we'll never love AI


Your visual cortex does two incredible things, thousands of times a second. First, it takes all the information streaming in through your retinas and passes it through a series of steps – looking first for patches of dark and light, then for features such as lines and edges, then for simple recognisable shapes like this letter'A', working up to household objects like a toaster or kettle, or individual faces, like your grandmother, or the person who you used to see every day at the bus stop on the way to work. The second incredible thing it does is to completely forget that it's done any of that at all. The inner workings of our minds are not accessible to us – and that is one of the things that will always separate us from artificially intelligent machines like the ones depicted in Klara and the Sun, the new novel from British author Kazuo Ishiguro. The book is set in a near-future where robotic humanoids called'Artificial Friends' or'AFs' are the purchase of choice for wealthy teenagers, who – for unspecified reasons – are taught remotely, and rarely get the opportunity to interact with their peers face to face.

AIhub monthly digest: February 2021


Welcome to the second of our monthly digests, designed to keep you up-to-date with the happenings in the AI world. You can catch up with any AIhub stories you may have missed, get the low-down on recent conferences, and generally immerse yourself in all things AI. You may be aware that we are running a focus series on the UN sustainable development goals (SDG). Each month we tackle a different SDG and cover some of the AI research linked to that particular goal. In February it was the turn of climate action.

4 Reasons Why Workers Should Welcome Artificial Intelligence In the Workplace


In recent months, concerns about the economic impact of the pandemic have been closely tied with a spate of panicked automation headlines like, "Will Robots Take Our Jobs In A Socially Distanced Era??". Already we have seen that incorporating new technologies has led to a dramatic shift in the way industries operate worldwide. We are also witnessing a significant rise in interest for robotic process automation (RPA), intelligent automation and artificial intelligence among business leaders who realize that intelligent automation demonstrates strong transformative potential across all industries. Business leaders are accelerating the adoption of technologies they view as crucial to digital transformation efforts – like intelligent and robotic process automation – to help them thrive in this tumultuous business environment and beyond. Businesses are constantly met with new restrictions and 63% of business decision makers feel they are struggling to meet customer demands.

Potential early diagnostic biomarkers of sepsis


Objective: The goal of this article was to identify potential biomarkers for early diagnosis of sepsis in order to improve their survival. Methods: We analyzed differential gene expression between adult sepsis patients and controls in the GSE54514 dataset. Coexpression analysis was used to cluster coexpression modules, and enrichment analysis was performed on module genes. We also analyzed differential gene expression between neonatal sepsis patients and controls in the GSE25504 dataset, and we identified the subset of differentially expressed genes (DEGs) common to neonates and adults. All samples in the GSE54514 dataset were randomly divided into training and validation sets, and diagnostic signatures were constructed using least absolute shrink and selection operator (LASSO) regression.

Clinical Risk Grouping Solutions Market - Global Forecast to 2024


Rising consumer awareness regarding risk management and implementation of big data solutions are driving the market for clinical risk grouping software. Scorecard & visualization tools, dashboard analytics, and risk reporting are the three product types of clinical risk grouping solutions. Scorecard & visualization tools segment dominated the market with the largest share due to its ability to predict payment processes accurately and project per-patient risk. The rising need to reduce healthcare costs through these two channels is expected to augment the growth of the segment during the forecast period. Hospitals, payers, ambulatory care centers, and long-term care centers, among others are the end-users of clinical risk grouping solutions, of which hospitals accounted for the largest market share in 2018.

Budget 2021: Reactions From The Tech Industry


Marking a significant shift in India's digital journey, the Union Finance Minister, Nirmala Sitharaman, has presented the first-ever digital budget for the upcoming fiscal year starting April 2021. Her budget speech touched upon "proliferation of technologies, especially analytics, machine learning, robotics, bioinformatics, and artificial intelligence." The budget has come at a time when the country is still struggling with the massive economic slowdown precipitated by COVID pandemic. However, despite this downturn, businesses have seen a significant push towards digitisation, including acknowledging the importance of artificial intelligence across industries. As a matter of fact, India is considered one of the fastest-growing digital markets globally.