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Artificial Intelligence in Healthcare: the Future is Amazing

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Artificial intelligence is emerging as a transformative technology that has demonstrated the potential to play a major role in many business verticals, from product design to banking and from cyber security to healthcare. Artificial intelligence offers endless possibilities to any business and its innovative nature will continue to influence the technology domain. One of the biggest AI revolutions has been witnessed in the healthcare sector, where it can impact both healthcare providers and patients. Artificial intelligence offers countless advantages in exploring the landscape of healthcare services, as it promises to incorporate innovation and technology into the healthcare system to deliver unique services to consumers. Artificial intelligence increases the efficiency of disease diagnosis, vaccine development, information integration, reduces administrative burdens and helps healthcare professionals make better data-driven decisions.


Brain implants could let lawyers scan years of material in a fraction of the time, report suggests

Daily Mail - Science & tech

Electronic brain implants could allow lawyers to quickly scan years of background material and cut costs in the future, a new report claims. The report from The Law Society sets out the way the profession could change for employees and clients as a result of advances in neurotechnology. It suggests that a lawyer with the chip implanted in his or her brain could potentially scan documentation in a fraction of the time, reducing the need for large teams of legal researchers. 'Some lawyers might try to gain an advantage over competitors and try to stay ahead of increasingly capable AI systems by using neurotechnology to improve their workplace performance,' wrote Dr Allan McCay, the author of the report. Neurotechnology could also allow firms to charge clients for legal services based on'billable units of attention' rather than billable hours, as they would be able to monitor their employees' concentration.


Doctors Find Artificial Intelligence is the Best Prescription for Expert Assistance and Patient Care - insideBIGDATA

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In this special guest feature, Amir Atai, Ph.D. is Co-Founder and CEO of Sway AI, examines how AI is changing healthcare by improving the efficiency and quality of care on many fronts, starting with administration. Sway AI is a developer of no-code AI technologies and services. Amir is an expert in complex modeling techniques, math, and statistics, where he has developed cutting-edge modeling tools. Artificial intelligence (AI) is driving innovation everywhere, including in healthcare. Medical professionals benefit from the ability to apply machine learning (ML) to everything from processing electronic health records (EHRs) to facilitating diagnosis and treatment.


How Artificial Intelligence is Revolutionising Healthcare

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Mr Nilesh Jahagirdar, VP Marketing cube LABS explains the impact of AI on healthcare and how it is revolutionising this sector. With the advent of digitalization, cutting-edge technology has become an essential part of our daily lives. The way we live and work has shifted dramatically. In this scenario, artificial intelligence is making huge waves in various industries, including healthcare. In healthcare, artificial intelligence is becoming more sophisticated at mimicking human behavior. The potential of AI in healthcare is gigantic, and it is becoming an increasingly important component of the healthcare ecosystem.


How Artificial Intelligence Can Help in Improving Healthcare

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Despite the significant advances made in computer science in the last decades, which are daily improving medical services and research, patient care has always been about human-to-human interaction and empathy. However, through artificial intelligence, medical professionals can obtain more accurate patient information and make better decisions. The application of sophisticated mathematical algorithms is going far beyond the collection of information. Artificial intelligence now has the ability to learn, distinguish patterns and find substantive inconsistencies usually invisible to the human eye. IBM Watson, the supercomputer, is one of the best examples of the practical application of AI in healthcare.


Artificial intelligence making diagnosis more real?

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HYDERABAD: As more and more wearable technologies such as fitbits, smart watches and wearable monitors are becoming increasingly popular, doctors seem to be the happiest. IoT (Internet of Things) devices are providing healthcare professionals and patients with new and accurate ways to monitor their vitals. Dr Namrata Rupani, founder and CEO, Capture Life Dental Care, Banjara Hills, welcomes the change and says, "One of the best IoT healthcare applications is remote patient monitoring, which can automatically collect health measurements from patients who aren't in a healthcare institution, thus removing the need for patients to travel or collect it themselves. An IoT gadget today helps send patient data to a software application that can be accessed by both the doctors and patients. For instance, IoT sensors on patients could warn doctors if their heart rate is low.That being said, these come with benefits as well as problems."Dr


Hold, Pick, Feel: How AI Changes Lives of Amputees

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Melissa Loomis from Ohio, US lost an arm in a terrible accident and her normal life went upside down. But, she had never imagined that one day, with the help of AI, she would be able to get an arm as good as a real one. In 2016, Loomis became the first amputee in the world to feel a sense of touch through a mind-controlled bionic arm. This is often considered one of the biggest events in the history of prosthesis. The history of prostheses dates back to the Egyptian era when the first functional prosthesis limb was used between 950 and 710 BC.


Advancing dynamic brain imaging with AI

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MRI, electroencephalography (EEG) and magnetoencephalography have long served as the tools to study brain activity, but new research from Carnegie Mellon University introduces a novel, AI-based dynamic brain imaging technology which could map out rapidly changing electrical activity in the brain with high speed, high resolution, and low cost. The advancement comes on the heels of more than thirty years of research that Bin He has undertaken, focused on ways to improve non-invasive dynamic brain imaging technology. Brain electrical activity is distributed over the three-dimensional brain and rapidly changes over time. Many efforts have been made to image brain function and dysfunction, and each method bears pros and cons. For example, MRI has commonly been used to study brain activity, but is not fast enough to capture brain dynamics.


Bayesian Health's AI Helps Hospitals Reduce Sepsis Deaths By 20%

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Bayesian Health and Johns Hopkins have announced ground-breaking results showing that many lives have been saved with a new clinically deployed AI platform called Targeted Real-Time Early Warning System (TREWS). The AI platform activates state-of-the-art AI within the electronic medical record and tracks patients from the moment they are admitted to hospital until they are discharged. The early warning system is designed to send alerts to healthcare providers when there is cause for concern. A real world study - conducted in 5 hospitals - demonstrated that the TREWS AI system led to the detection of sepsis on average almost 6 hours earlier than traditional methods, with a sensitivity rate of 82%. This is significant because sepsis is responsible for 20% of all deaths globally and early detection could save over 11 million lives every year.


Unlocking Diagnosis With Deep Phenotyping: From Rare Diseases to Chronic Conditions

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Within precision medicine, and specifically rare diseases, clinicians and researchers rely on genetic and diagnostic testing to help drive accurate diagnosis and treatment. However, genomic data alone are often insufficient to unlock the life-changing diagnoses of rare diseases. Well-curated and accurate phenotype data, which may include quantified observable traits such as short stature, low set ears, and blood biochemistry, along with genetic and diagnostic test results, are vital for shortening the diagnostic journey of these patients and identifying the most effective treatments available. The need for accurate patient phenotyping is not a new concept. In fact, over 20 years ago, Isaac Kohane, Chair of the Department of Biomedical Informatics and the Marion V. Nelson Professor of Biomedical Informatics at Harvard Medical School, predicted that the accurate practice of patient phenotyping would become essential as the volume of genomic information continued to surge.