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New Research Confirms iCAD’s ProFound AI Aids Breast Cancer Detection with Digital Breast Tomosynthesis, Improves Radiologists’ Workflow

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NASHUA, N.H., April 19, 2021 (GLOBE NEWSWIRE) — iCAD, Inc. (NASDAQ: ICAD), a global medical technology leader providing innovative cancer detection and therapy solutions, today announced that new research supporting the clinical value of ProFound AI® for Digital Breast Tomosynthesis (DBT) was presented at the Society of Breast Imaging (SBI) Symposium, April 9-11, and at the National Consortium of Breast Centers (NCBC) Annual Interdisciplinary Breast Center Conference (NCoBC), April 16-19.

Emily Conant, MD, Professor and Division Chief of Breast Imaging at the University of Pennsylvania Medical Center, presented findings from a retrospective analysis involving ProFound AI for DBT in a presentation titled “Feasibility of automated identification of low-likelihood of cancer cases in digital breast tomosynthesis screening,” at the SBI Symposium. At the NCoBC Interdisciplinary Breast Center Conference, Mark Traill, MD, University of Michigan Health, presented findings from a study titled “Correlation between BI-RADS Assessment Categories and Artificial Intelligence Case Scores,” which was a winner in the “Breast Disease Diagnosis and Management” category.

“These two studies both suggest that ProFound AI Case Scores provide valuable insights that can help clinicians more efficiently identify normal mammograms, which may directly translate to time-savings benefits,” said Michael Klein, Chairman and CEO of iCAD. “In addition, ProFound AI is clinically proven to improve radiologists’ sensitivity while simultaneously improving their specificity, which is a huge performance achievement in breast care. With the addition of these two important abstracts, research now shows how Case Scores can be used in the clinical setting to help radiologists feel more confident in their decisions about when a mammogram is normal.”

According to study findings presented by Dr. Conant at the SBI Symposium, ProFound AI for DBT accurately identified 33.4 percent of normal screening DBT exams with no cancers being missed, based solely on the ProFound AI Case Score. When researchers also factored in breast density and age, ProFound AI identified 58.6 percent of normal cases with no false negatives.

“Our retrospective study demonstrates the feasibility that clinical algorithms have the potential to triage and reduce screening DBT workload by flagging normal mammograms using an AI system, and also prioritizing complex cases that are more likely to require additional review or evaluation,” said Dr. Conant. “We are pleased to have our research add to the important growing body of evidence supporting the significance and value of AI in breast screening.”

The study was conducted to evaluate the thresholds at which the ProFound AI system could be used for triaging DBT exams to reach a minimum rate of false negatives per 1,000 screened in an enriched dataset of 506 biopsy-proven cancer cases and 1,293 non-cancer cases with 320 days of negative follow-up. A consecutive series of cases were collected from 18 sites in the United States and three sites in France.

In addition, new data presented by Dr. Mark Traill at the NCoBC Interdisciplinary Breast Center Conference highlights the comparison of ProFound AI Case Scores to BI-RADS assessment categories determined by a single radiologist without using AI in a retrospective analysis. Researchers used ProFound AI on 890 consecutive DBT studies and 50 consecutive cases with biopsy-proven breast cancer detected with DBT. Results showed a strong positive correlation between a ProFound AI Case Score of less than 60 percent and patients assessed as likely to be normal (BI-RADS 1 or 2), while most of the biopsy-proven cancers had a Case Score of greater than 60 percent.

“We wanted to describe the Case Score distribution in a screening population to better understand the significance of score value as a clinical decision tool,” said Dr. Traill. “We found a very strong correlation between a Case Score of less than 60 percent and a BI-RADS score assessment of 1 or 2. Also, only 15 percent of the Case Scores were greater than 60 percent, but this group contained most of the detected cancers. As a clinical decision tool, a Case Score above 60 percent is an independent indicator of higher chance of underlying malignancy. This is very helpful in guiding the intensity of the cancer search, while improving workflow functionality and reducing stress for the reading radiologist.”

ProFound AI for DBT is a high-performance, deep-learning workflow solution trained to detect malignant soft-tissue densities and calcifications. It became the first 3D tomosynthesis software using artificial intelligence (AI) to be FDA cleared in December 2018. Built with the latest in deep-learning technology, ProFound AI for DBT rapidly analyzes each tomosynthesis image, detecting malignant soft tissue densities. Certainty of Finding and Case Scores are relative scores computed by the ProFound AI algorithm and represent its confidence that a detection or case is malignant. The Certainty of Finding scores help radiologists by aiding in clinical decision making. Case Scores, which are assigned to each case by the algorithm, help clinicians to gain a sense of case complexity, which may be useful for prioritizing the reading worklist. In a reader study published in Radiology: Artificial Intelligence, ProFound AI for DBT Version 2.0 was clinically proven to reduce reading time for radiologists by 52.7 percent, improve radiologists’ sensitivity by 8 percent, and reduce the rate of false positives and unnecessary patient recalls by 7.2 percent.1

The latest version of ProFound AI for DBT, version 3.0, was recently cleared by the FDA in March 2021. Compared to previous versions of the software, the ProFound AI 3.0 algorithm offers up to an additional 10 percent improvement in specificity performance and up to an additional 1 percent improvement in sensitivity over its previous deep-learning AI software generation (ProFound AI Version 2.1).2 ProFound AI version 3.0 also offers up to 40 percent faster processing on the new PowerLook platform.2 ProFound AI version 3.0 was developed using over five million images from 30,000 cases, including almost 8,000 biopsy-proven cancers, and validated on approximately one million images from 3,500 cases that included 1,200 biopsy-proven cancers.

iCAD’s Breast Health Solutions suite also includes software to evaluate breast density, ProFound AI for 2D Mammography, and ProFound AI Risk, the world’s first and only clinical decision support tool that provides an accurate two-year breast cancer risk estimation that is truly personalized for each woman, based only on a screening mammogram.3

About iCAD, Inc.

Headquartered in Nashua, NH, iCAD is a global medical technology leader providing innovative cancer detection and therapy solutions. For more information, visit www.icadmed.com and www.xoftinc.com.

Forward-Looking Statements

Certain statements contained in this News Release constitute “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements about the Company’s technology platforms and products. Such forward-looking statements involve a number of known and unknown risks, uncertainties and other factors which may cause the actual results, performance, or achievements of the Company to be materially different from any future results, performance, or achievements expressed or implied by such forward-looking statements. Such factors include, but are not limited, to the Company’s ability to achieve business and strategic objectives, the willingness of patients to undergo mammography screening in light of risks of potential exposure to Covid-19, whether mammography screening will be treated as an essential procedure, whether ProFound AI will improve reading efficiency, improve specificity and sensitivity, reduce false positives and otherwise prove to be more beneficial for patients and clinicians, the impact of supply and manufacturing constraints or difficulties on our ability to fulfill our orders, uncertainty of future sales levels, to defend itself in litigation matters, protection of patents and other proprietary rights, product market acceptance, possible technological obsolescence of products, increased competition, government regulation, changes in Medicare or other reimbursement policies, risks relating to our existing and future debt obligations, competitive factors, the effects of a decline in the economy or markets served by the Company; and other risks detailed in the Company’s filings with the Securities and Exchange Commission. The words “believe,” “demonstrate,” “intend,” “expect,” “estimate,” “will,” “continue,” “anticipate,” “likely,” “seek,” and similar expressions identify forward-looking statements. Readers are cautioned not to place undue reliance on those forward-looking statements, which speak only as of the date the statement was made. The Company is under no obligation to provide any updates to any information contained in this release. For additional disclosure regarding these and other risks faced by iCAD, please see the disclosure contained in our public filings with the Securities and Exchange Commission, available on the Investors section of our website at http://www.icadmed.com and on the SEC’s website at http://www.sec.gov. 

Contacts:
Media inquiries:
Jessica Burns, iCAD
+1-201-423-4492
[email protected]

Investor Relations:
Jeremy Feffer, LifeSci Advisors
+1-212-915-2568
[email protected]

1 Conant, E et al. (2019). Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis. Radiology: Artificial Intelligence. 1 (4). Accessed via https://pubs.rsna.org/doi/10.1148/ryai.2019180096
2 iCAD data on file. Standalone performance varies by vendor. FDA Cleared.
3 Eriksson M, Czene K, Strand F, et al. Identification of Women at High Risk of Breast Cancer Who Need Supplemental Screening. [published online ahead of print September 8, 2020]. Radiology. Accessed via https://doi.org/10.1148/radiol.2020201620

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Artificial Intelligence

Rainbow Robotics begins pre-orders of Bimanual Mobile Manipulator RB-Y1, the world’s first research platform for AI experts for $80,000 USD

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DAEJEON, South Korea, May 9, 2024 /PRNewswire/ — Rainbow Robotics(CEO Jungho Lee), a robot platform specialized company, will begin pre-orders for the Bimanual Mobile Manipulator RB-Y1 from May 8.

During the pre-order period, the research platform is sold for $80,000 USD and the commercial platform is sold for $120,000 USD (VAT excluded). Products are scheduled to be delivered sequentially starting in October.
RB-Y1 is a research platform that has both arms with 7 degrees of freedom per arm for smooth movements similar to human movements. It is a humanoid-like robot with a single leg with 6 degrees of freedom on a mobile platform for a wide work radius. The LiDAR system is adopted for autonomous movement, and a high-performance 3D recognition sensor and master ARM are provided as options to increase usability. In line with the recent trend of the AI era, Rainbow Robotics plans to provide various APIs and options so that AI developers can easily utilize them for research purposes.
Recently, various organizations are introducing humanoid robots. However, they are only used for their own purposes and there is no standard platform for various AI robot researchers. Rainbow Robotics’ RB-Y1 is the first to commercially sell such a research platform.
Unlike existing simple industrial robots, a Bimanual Mobile Manipulator is a humanoid robot that uses both arms and is suitable for advanced manufacturing sites and services. It is a next-generation robot platform that can be used for complex assembly, manufacturing, and collaboration beyond existing simple automation processes.
If you would like to pre-order RB-Y1, please contact us through enquiry page or email us at [email protected].
Meanwhile, Rainbow Robotics will participate as a bronze sponsor in the IEEE International Conference on Robotics and Automation (ICRA 2024), which will be held at Pacifico Yokohama, Japan on May 13.
During the exhibition, various demonstrations will be shown of controlling RB-Y1 with real-time remote operation technology, which links the data arm and simulation system. Additionally, Rainbow Robotics plans to exhibit the small, high-precision collaborative robot RB3-730 and the quadruped robot RBQ-10.
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Artificial Intelligence

AgriBusiness Global™ Announces 2024 Event Line-Up: Connecting Crop Input Leaders Worldwide

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WILLOUGHBY, Ohio, May 8, 2024 /PRNewswire/ — AgriBusiness Global, the premier business source for leaders in the global crop input value chain, is thrilled to announce its lineup of events for 2024. For 37 years, AgriBusiness Global has been the go-to resource for quality, trustworthy information and analysis, leading the industry in providing the next generation of crop solutions covering synthetic crop protection, biologicals, and plant health.

In 2024, AgriBusiness Global will host three events, each designed to connect industry leaders, promote innovation, and drive business growth:
AgriBusiness Global℠ LATAM Conference Date: 14-15 MayLocation: Panama City, Panama
Capitalizing on Emerging Technologies in LATAM
The ABG LATAM Conference will bring together industry experts and influencers to discuss the latest trends and developments in crop protection, plant health, biologicals, and ag technology specific to the Latin American region. The Latin-American market offers new opportunities for business growth and partnerships with leading players in the region. Learn More>
AgriBusiness Global℠ Trade Summit Date: 7-8 AugustLocation: Orlando, Florida, USA
The #1 Global Agribusiness Event- Dedicated to Worldwide Networking and New Business Development               
The ABG Trade Summit is the trusted forum for advancing development in the rapidly emerging global crop protection, ag tech, plant health, and biological sectors. Attendees can expect to meet with the world’s leading manufacturers, exporters, trading companies, sellers, formulators, and consultants.  Trade Summit facilitates global trade by offering educational sessions, a robust exhibit floor, private meeting rooms, and dedicated networking opportunities for the world market to connect, engage, and build business. Learn More>
AgriBusiness Global℠ SE Asia ConferenceDate: 6-7 NovemberLocation: Jakarta, Indonesia
Empowering Southeast Asia’s AgriBusiness for Global Impact
The ABG Southeast Asia Conference, produced in cooperation with the Indonesian CropCare Association, will showcase cutting-edge technologies and innovations in crop production, addressing the unique challenges and opportunities in the Southeast Asian market. Attendees will gain unique insights to prepare for the future and navigate the present in the rapidly evolving agricultural market. Learn More>
“Our events are dynamic platforms for industry leaders to connect, collaborate, and drive innovation,” said Eric Davis, Group Director at AgriBusiness Global. “We are excited to bring together the brightest minds in the industry to explore new ideas, foster partnerships, and shape the future of agriculture.”
For information about the 2024 events and how to participate, visit AgriBusinessGlobal.com.
About Meister Media Worldwide
For media inquiries, please contact:Amy Reddington, Show Director
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Artificial Intelligence

Economic Shifts Ahead as AI Integrates Deeply into Work and Society, Fueling $4.4 Trillion Growth

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USA News Group News Commentary
Issued on behalf of Scope AI Corp.
VANCOUVER, May 8, 2024 /PRNewswire/ —  USA News Group News Commentary – New developments in AI technology are currently changing the face of work, economies, and society as we know it, according to analysts at McKinsey & Company who are projecting generative AI (gen AI) could add $4.4 trillion annually to the global economy. Between January and March of this year alone, the world’s largest cloud-computing giants have collectively invested $40 billion mostly into data centres equipped to deal with growing AI workloads, according to The Economist. The shift is leading experts to witness how AI companies are leading a transition from Software-as-a-Service to Service-as-Software, turning the table on the very essence of SaaS, representing a $4.6 trillion opportunity. A variety of tech companies have recently advanced the integration of AI, providing swift, safe, and cost-effective solutions for businesses to adopt artificial intelligence technology this past week, including: Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), Meta Platforms, Inc. (NASDAQ: META), Amazon.com, Inc. (NASDAQ: AMZN), Apple Inc. (NASDAQ: AAPL), and C3.ai, Inc. (NYSE: AI).

The article continued: Seeing the extraordinary speed of AI’s advancements and impacts, combined with surging private- and public-sector demand, is causing regulators in the USA and EU to issue legislation calling for action. Now analysts are trying to determine whether the GenAI boom is setting up to be another bubble, or a legitimate long-term investment opportunity.
SCOPE AI PROVIDES CORPORATE UPDATE
Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) (FSE: VN8) (“Scope” or the “Company”) today provided an update  on new developments of Scope’s artificial intelligence driven recognition technology called GEM (General Enterprise Machine Learning) system. Built on advanced visual recognition and neural network technology, GEM could advance industries, including Advertising and Gaming, by providing them with new insights and capabilities.
Advertising: GEM aims to enable advertising businesses to personalize ad content based on real-time user behavior analysis. By leveraging visual recognition technology, companies can create highly targeted and engaging ads, maximizing return on ad spend and driving customer engagement to new heights.
Gaming:  In the gaming industry, GEM aims to enhance user experiences by customizing gameplay and recommendations. By analyzing player behavior using neural networks, GEM provides customers and developers with invaluable insights with the intention of optimizing game design, increasing user retention, and maximizing revenue potential.
Unveiling Neural Networks: Neural networks are the foundation of GEM’s technology. These complex algorithms mimic the structure and functionality of the human brain, enabling machines to learn from vast amounts of data and make intelligent predictions and decisions. By harnessing the power of neural networks, GEM offers comprehensive capabilities in advanced pattern recognition, data analysis, and decision-making across industries.
“We’re very pleased at how seamless we were able to streamline, enhance, and strengthen our platform with the latest performance and security upgrades made to our infrastructure”, said Sean Prescott, Founder and Non-Executive Chairman of Scope AI. “The next generation of our platform will set us apart in the kind and sensitivity of data we can process and store. It’s a potential game-changer for the industry.”
Scope’s GEM platform includes advanced features designed to enhance user experience and security, all while streamlining operations. Built-in customer support and user management modules allow for seamless assistance, while the native referral system fosters user engagement and growth. Along with the full admin suite for comprehensive analysis and reporting, businesses are fully empowered with unparalleled capabilities and insights.
CONTINUED… Read this and more news for Scope AI at:  https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
In other industry developments and happenings in the market this week include:
Meta Platforms, Inc. (NASDAQ: META), the parent company of Facebook, Instagram, and WhatsApp, recently teamed up with the Georgia Institute of Technology to create a massive open dataset to advance AI solutions for carbon capture, a technology with promising potential to address global climate concerns. As per the collaboration, Georgia Tech and Meta say their massive database could potentially make it easier and faster to design and implement new direct air capture technologies.
“The open-source database enabled the team to train an AI model that is orders of magnitude faster than existing chemistry simulations,” said Georgia Tech in a press release. “The project, named OpenDAC, could accelerate climate solutions the planet desperately needs.”
Researchers at Meta’s Fundamental AI Research (FAIR) team were already looking for ways to harness their machine-learning prowess to address climate concerns. They ultimately landed on direct air capture as what they believed to be a promising technology, and immediately reached out to Georgia Tech. FAIR’s lead authors generated the database by running quantum chemistry computations on inputs provided by Georgia Tech’s team, using about 400 million CPU hours along the way, and surpassing several hundreds of times more computing than the average academic computing lab can do in a year.
Amazon.com, Inc. (NASDAQ: AMZN) through its global Amazon Web Services (AWS) cloud system subsidiary recently rolled out its new AI system called Q, which it has dubbed as “the most capable generative artificial intelligence (AI)-powered assistant for accelerating software development and leveraging companies’ internal data.”
As well, Amazon also recently launched its Custom Model Import for Bedrock tool, which CEO Andy Jassy called a “sneak big launch as it satisfies a customer request we’ve heard frequently and that nobody has yet met.” The tool allows customers to import custom models they’ve built in Amazon SageMaker into tits Amazon Bedrock platform. Doing so lets enterprises utilize AI investments they’ve already made, while also leveraging Bedrock’s capabilities to scale their models and applications.
“Customers are excited about this, and as more companies find they’re employing a mix of custom-built models along with leveraging existing LLMs,” said Jassey. “The prospect of these two linchpin services in SageMaker and Bedrock working well together is quite appealing.”
Apple Inc. (NASDAQ: AAPL), whose iPhones currently hold the Top 4 (and 5 of the Top 10) best-selling smartphone models by sales, recently reported an all-time revenue record in sales in its most recent financial results. While being seen as potentially late to the game on AI, several reports in recent weeks has suggested that Apple is not only talking to OpenAI and/or Google about powering some of its AI features, it’s also been reportedly spending “millions of dollars a day” training its own AI model, called Ajax.
Now industry experts are saying the iPhone is about to become an “AI phone”, in anticipation of Apple’s upcoming iOS 18. A key anticipated feature of iOS 18 is Apple’s own large language model (LLM), similar to the technology behind AI chatbots like ChatGPT. It’s widely speculated that this Apple-developed LLM will be integrated with Siri, enhancing the capabilities of the iPhone’s digital assistant. As indicated by Bloomberg in late April, it’s suggested that Apple’s  LLM will be entirely on-device, meaning the tech will be powered inside by the iPhone’s processor, rather than in the cloud—which may be a bit less powerful and knowledgeable, but with far quicker response times.
C3.ai, Inc. (NYSE: AI), an Enterprise AI application software company, is actively working to enhance the petroleum industry in Houston, through a cooperative effort that allows oil and gas companies to share AI technology and applications with each other. This effort is meant to curb companies from withholding information from competitors, with the goal of collaboration instead.
“We’re building the applications that are, you know, monitoring every device on every offshore oil rig in real time so that they can see with 18 hours in advance before something fails and just shut it down,” said Tom Siebel, CEO of C3.ai. Siebel has explained that AI is at work in oil and gas, diagnosing issues and assisting with maintenance, giving the example of a giant like Shell uses AI to track their half a million valves around the world.
“They can see what’s going on,” said Siebel. “They can predict when a valve is going to be stuck open or closed before it happens, and if one of these valves gets stuck open or closed, things go real bad, real fast, right? And so, they’ve decided to make these applications available to Aramco, Eni, Chevron, Phillips.”
A recent report from Research and Markets predicted that the global AI in oil and gas market is expected to surge to an impressive $5.96 billion by 2028, growing at a CAGR of 13.3%.
Article Source: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
 CONTACT:USA NEWS [email protected](604) 265-2873
DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. USA News Group is a wholly-owned subsidiary of Market IQ Media Group, Inc. (“MIQ”). MIQ has been paid a fee for Scope AI Corp. advertising and digital media from the company directly. There may be 3rd parties who may have shares Scope AI Corp., and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. The owner/operator of MIQ own shares of Scope AI Corp. which were purchased as a part of a private placement. MIQ reserves the right to buy and sell, and will buy and sell shares of Scope AI Corp. at any time thereafter without any further notice. We also expect further compensation as an ongoing digital media effort to increase visibility for the company, no further notice will be given, but let this disclaimer serve as notice that all material disseminated by MIQ has been approved by the above mentioned company; this is a paid advertisement, and we own shares of the mentioned company that we will sell, and we also reserve the right to buy shares of the company in the open market, or through further private placements and/or investment vehicles. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Also, because events and circumstances frequently do not occur as expected, there will likely be differences between any predictions and actual results. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.

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