Collaborating Authors

Health & Medicine

Addition and Subtraction using Recurrent Neural Networks.


How does google understand how to translate '今日はどうですか?' to'How are you doing today?' or vice versa? How do we get to predict a disease spread such as COVID-19 way into the future beforehand? How do automatic Text generation or Text Summarization mechanisms work? The answer is Recurrent Neural Networks. RNNs have been the solution to deal with most problems in Natural language Processing and not only NLP but in Bio-informatics, Financial Forecasting, Sequence modelling etc.



Data is certain to revolutionize healthcare in the same way it transformed other industries. But it will need help. Today, healthcare providers are collecting exabytes of patient data from hospitals, clinics, imaging and pathology labs, and more. These data provide a wealth of information about human health but are difficult to understand due to their lack of structure and sheer volume. Fortunately, sophisticated AI and machine learning solutions can carry the torch of innovation.

COVID-19 detection in CT and CXR images using deep learning models


Infectious diseases pose a threat to human life and could affect the whole world in a very short time. Corona-2019 virus disease (COVID-19) is an example of such harmful diseases. COVID-19 is a pandemic of an emerging infectious disease, called coronavirus disease 2019 or COVID-19, caused by the coronavirus SARS-CoV-2, which first appeared in December 2019 in Wuhan, China, before spreading around the world on a very large scale. The continued rise in the number of positive COVID-19 cases has disrupted the health care system in many countries, creating a lot of stress for governing bodies around the world, hence the need for a rapid way to identify cases of this disease. Medical imaging is a widely accepted technique for early detection and diagnosis of the disease which includes different techniques such as Chest X-ray (CXR), Computed Tomography (CT) scan, etc.

Heart Disease Prediction with Machine Learning


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AI impact: Rethinking education and job training


Artificial intelligence is pervasive; every major category of technology now incorporates AI techniques and the trend is growing. Although AI offers many benefits, risks and ethical issues abound. Despite having an enormous potential impact on society, jobs, and the economy, policymaking and educational planning have not kept pace with changes in technology, nor are we close to adopting updated legal frameworks. Also: 13 AI trends that will reshape the economy in 2018 TechRepublic Dr. Shirley Malcom is a respected and prominent educator who handles education policy at the American Association for the Advancement of Science (AAAS), which is the world's largest general scientific association and is best known for publishing Science magazine. Among her many honors, Shirley is a Regent of Morgan State University and on the Board of Trustees at Caltech. Education reform and worker re-training in the era of AI are crucial priorities for her.

3 Population Health Trends To Watch In 2022 - AI Summary


Disparities in outcomes and access are deeply rooted problems that lend themselves to a population health approach -- but not to quick fixes. Almost two years after COVID-19 forced a telehealth revolution, patients have come to expect live video interaction offerings from their health plans and providers. Telehealth -- which once meant having a live video visit with a physician -- has become a commodity, with hundreds of options now available to patients, says Sebastian Seiguer, J.D., MBA, CEO of emocha Health, a medication adherence company in Baltimore that is a Johns Hopkins spin-off. Simultaneously, the very definition of "telehealth" is changing, as consumers and providers alike become comfortable using a variety of digital tools such as texting, online portals and artificial intelligence (AI)-powered chatbots to give personalized healthcare advice and support. These new remote therapeutic monitoring codes provide reimbursement for the kind of support that can lead to greater adherence, Seiguer says.

How to Regulate Artificial Intelligence the Right Way: State of AI and Ethical Issues


It is critical for governments, leaders, and decision makers to develop a firm understanding of the fundamental differences between artificial intelligence, machine learning, and deep learning. Artificial intelligence (AI) applies to computing systems designed to perform tasks usually reserved for human intelligence using logic, if-then rules, and decision trees. AI recognizes patterns from vast amounts of quality data providing insights, predicting outcomes, and making complex decisions. Machine learning (ML) is a subset of AI that utilises advanced statistical techniques to enable computing systems to improve at tasks with experience over time. Chatbots like Amazon's Alexa and Apple's Siri improve every year thanks to constant use by consumers coupled with the machine learning that takes place in the background.

Hospital uses AI to treat cervical cancer patient in UK first


The Royal Surrey Foundation Trust treated Emma McCormick, 44, using adaptive radiotherapy after she was diagnosed with the cancer last April and was referred to St Luke's Cancer Centre. The treatment, called Ethos, involves a machine, created by healthcare company Varian, which uses artificial intelligence to deliver a prescription dose to tumours. The AI technology uses daily CT scans to target the specific areas that need radiotherapy, which helps avoid damage to healthy tissue and limit side-effects. Patients are required only to lay still on a flat surface inside the machine for the duration of the treatment. There is a screen above the machine which shows different images, and medical staff can play music to make the treatment more comfortable.

Artificial Intelligence 'AI' and additional needs


Something a little more unusual in this blog post as we are going to be exploring how Artificial Intelligence can be a tool that we can use to help and support people, of any age with additional needs or disabilities, in our churches. "Technology has changed the world, bringing knowledge within reach and expanding a range of opportunities. Persons with disabilities can benefit enormously from such advances, yet too many lack access to these essential tools…" So, has anything changed since then? And what does today's Artificial Intelligence, or'AI', offer as technological solutions for disabled people, particularly in our church settings? What can we learn about'AI' together, that can enable us to better serve and support disabled people in our church communities?