In a development expected to help diagnose Covid-19 in suspected patients faster, the Defence Research and Development Organisation (DRDO) and Centre for Artificial Intelligence and Robotics (CAIR) have created an artificial intelligence (AI) algorithm to help detect Covid-19 from chest X-rays. According to its developers, the tool named Atman AI used for Chest X-ray screening has shown an accuracy rate of 96.73 percent. Dr. U K Singh, Director, CAIR, DRDO said the development of the diagnostic tool was part of DRDO's effort to help clinicians and partners on the frontline to help rapidly diagnose and effectively treat COVID-19 patients. "Given the limited testing facilities for coronavirus, there is a rush to develop AI tools for quick analysis using X-rays. The tool will help in automatically detecting radiological findings indicative of Covid-19 in seconds, enabling physicians and radiologists to more effectively triage the cases, especially in an emergency environment," he explained.
Artificial intelligence, the technology that is seen as a home name today is poised to become a transformational force in healthcare. Healthcare industry is where a lot of challenges are encountered and opportunities open up. Starting from chronic diseases and radiology to cancer and risk assessment, artificial intelligence has shown its power by deploying precise, efficient, and impactful interventions at exactly the right moment in a patient's care. The complexity and rise of data in healthcare have unveiled several types of artificial intelligence. Today, artificial intelligence and robotics have evolved to the stage where they can take better care of patients better than medical staff and human caretakers.
The Defence Research and Development Organisation (DRDO) has developed an artificial intelligence algorithm that can detect the presence of the COVID-19 virus in chest X-rays. The AI tool, ATMAN AI, was developed by DRDO's Centre for Artificial Intelligence and Robotics (CAIR), with support from 5C Network & HCG Academics. Triaging using X-ray in COVID-19 diagnosis is a method for the rapid identification and assessment of the lungs, according to a statement issued by HCG Academics. The tool will be used by 5C Network, the country's largest digital network of radiologists, with the support of HCG Academics. Triaging potential patients using X-ray is fast, cost-effective, and efficient.
Bangalore: DRDO Centre for Artificial Intelligence and Robotics on Friday announced that it has developed an Artificial Intelligence algorithm, "ATMAN AI" for Chest X Rays screening to detect Covid-19, in collaboration with 5C Network & HCG Academics. This new AI tool will be used by 5C Network, India's largest digital network of Radiologists, with support of HCG Academics across India. The product has been designed to reduce the burden of CT scans and make covid diagnosis accessible for smaller towns by helping in making the process of X-ray screening fast and efficient. Mr. Kalyan Sivasailam, CEO of 5C network, commented, "Utilizing the algorithms for chest X-ray is an effective triaging tool which can be accessible to the common man in remotest districts of this country. This will have a significant impact on timely care and appropriate treatment."
In the present paper we present the potential of Explainable Artificial Intelligence methods for decision-support in medical image analysis scenarios. With three types of explainable methods applied to the same medical image data set our aim was to improve the comprehensibility of the decisions provided by the Convolutional Neural Network (CNN). The visual explanations were provided on in-vivo gastral images obtained from a Video capsule endoscopy (VCE), with the goal of increasing the health professionals' trust in the black box predictions. We implemented two post-hoc interpretable machine learning methods LIME and SHAP and the alternative explanation approach CIU, centered on the Contextual Value and Utility (CIU). The produced explanations were evaluated using human evaluation.
Cloud-based medical image management company Ambra Health announced Tuesday it will partner with the vendor neutral artificial intelligence (AI) platform Arterys. It's a move that will streamline interoperability and accelerate the use of AI applications, the companies said. "We're making AI real by improving the physician experience," said John Axerio-Cilies, chief executive officer of Arterys. "We are increasing diagnosis, treatment accuracy, and ultimately outcomes that matter to patients and providers." This partnership brings together Arterys' seven AI solutions that have been cleared by the U.S. Food & Drug Administration, including Cardio AI, Lung AI, and Neuro AI, with Ambra's interoperable, customizable cloud platform that consolidates multiple imaging systems that allows for secure access to imaging data anywhere, anytime.
Although a plethora of research articles on AI methods on COVID-19 medical imaging are published, their clinical value remains unclear. We conducted the largest systematic review of the literature addressing the utility of AI in imaging for COVID-19 patient care. By keyword searches on PubMed and preprint servers throughout 2020, we identified 463 manuscripts and performed a systematic meta-analysis to assess their technical merit and clinical relevance. Our analysis evidences a significant disparity between clinical and AI communities, both in the focus on imaging modalities (AI experts neglected CT and Ultrasound, favoring X-Ray) and performed tasks (71.9% of AI papers centered on diagnosis). The vast majority of manuscripts were found deficient regarding potential use in clinical practice, but 2.7% (N 12) publications were assigned a high maturity level and are summarized in greater detail.
"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. We developed a convolutional neural network (CNN) to triage head CTs (HCTs) and investigated the impact of upstream medical image processing on the CNN's performance. We retrospectively collected 9,776 HCTs (2001 – 2014) and trained a CNN to triage them as normal or abnormal.
Pocket-size ultrasound devices that cost 50 times less than the machines in hospitals (and connect to your phone). These are just some of the innovations now transforming medicine at a remarkable pace. No one can predict the future, but it can at least be glimpsed in the dozen inventions and concepts below. Like the people behind them, they stand at the vanguard of health care. Neither exhaustive nor exclusive, the list is, rather, representative of the recasting of public health and medical science likely to come in the 2020s.
Artificial intelligence (AI) at the edge is changing healthcare, retail and Audi cars, as Intel's IoT Group vice president, John Healy tells Jeremy Cowan and George Malim. Plus we learn how chipmakers globally are tackling supply problems that have halted vehicle production. The semiconductor industry is facing an "awakening", says Healy, as it shape-shifts to meet "insatiable demand" for silicone. Finally, we hear which African country is a leader in satellite cartography, and how Amazon is playing games with its warehouse staff. Hi, and welcome to the latest Trending Tech Podcast brought to you by The Evolving Enterprise, IoT Now, and VanillaPlus.com. This is Jeremy Cowan, and I want to thank you for joining the latest, sometimes serious, sometimes light-hearted look at enterprise digital transformation. I am delighted to welcome today two guests, who are John Healy, from California-based international technology company, Intel, known among other things, for the processors that power so many of our devices. John is vice president of the IoT Group. John, thank you very much for making the time to be here. Good to have you on again, George. Okay, today, we'll be looking at some key tech news stories that deserve a bit of a deeper dive.