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< PreviousOver the past several years, Enlitic has been focused on the development of highly intelligent AI models that are designed to create value across multiple systems and introduce clinical and operational standardization and efficiencies. According to the company, upstream standardization of data eliminates many of the downstream challenges that occur at the point of care, the most important part of a patient’s healthcare journey. That is why Enlitic has developed the industry’s first intelligent enterprise healthcare AI platform. “Enlitic’s technology first and foremost, is specifically designed to address inefficiencies and capacity issues throughout the clinical workflow. Enlitic also builds solutions that include more advanced detection and triage algorithms focused on full-body X-ray,” explains Jim Conyers, CEO, Enlitic. The Intelligent Healthcare Platform The company’s Curie Platform is an intelligent framework that improves the operationalization of AI within the clinical environment. Curie’s delivery and management framework is powered by advanced expandable AI technology. It is an advanced management, delivery, analytic, intelligent, interoperability framework that promotes the adoption and automatic provisioning of AI models throughout any clinical specialty within a healthcare environment. The Curie Platform builds on data standardization by applying smart AI models, as well as retrospective analysis, on archived data, to provide real-time insights and clinical recommendations that supporting research, billing analysis, and generation of real-world historical case evidence. The addition of Curie’s database and de-identification tools make healthcare real- world evidence more accessible than ever before with population health research and drug and device discovery benefitting enormously. “With our expandable AI technology inside the Curie platform, I believe we maintain a very good distance ahead of the competition and, the value proposition of our solution has a real return on investment,” adds Conyers. Curie allows for true enterprise AI to be applied throughout the healthcare organization. Standardize is the core model in Curie’s advanced AI framework. This model “standardizes” medical image data at the time of acquisition, creating a normalized organizational ontology standard that is consistent from the time of acquisition, through the entire continuum of care workflow. This technology opens the doors to downstream effectiveness early in the clinical workflow. It allows for improved capacity and efficiency through the reduction of mundane, repetitive clinical tasks that erode away the time front-line workers must focus on the patient and patient outcomes. This core Curie technology expands its benefit to downstream critical care systems and healthcare organizations’ ability to operationalize AI and earn a return on investment. Curie’s framework allows for any AI application to be uploaded to the Curie platform where it can be utilized for real-time detection and triage or retrospectively. Moreover, the company’s innovative technology allows Curie to increase the value of third-party AI solutions, with the utilization of Curie’s Enform solution. This AI-centric solution allows third-party AI models to easily process decades of archived clinical images through our expandable AI Technology and store that relevant real-world evidence in our Curie database. Enform generates a historical accounting of previous outcomes gathered from previous studies and reports to provide clinicians with insights through real-time clinical recommendations, improving the quality of diagnosis and treatment plans, helping to drive down errors, misses, and the overall reduction of risk. Curie’s Endex solution provides healthcare organizations with the industry’s first AI workflow- driven billing and coding clinical recommendation solution. As the patient’s continuum of care progresses, Endex is providing standardized data to systems such as the EMR/RIS, billing and coding systems, analytics and dashboards, and other information systems within the enterprise. Curie is a full-scale, behind-the-scenes intelligent AI powered solution designed to enhance the existing healthcare ecosystem. Innovations that Re-Invent Healthcare Unlike most AI companies creating solutions that detect and triage the same diseases, Enlitic is entirely different with its innovative solutions. Several years ago, Enlitic realized that AI models designed to detect and triage diseases have a lesser impact on healthcare than models that address problems with data and workflow. The company started off focusing on X-rays of the full body, identifying 120 plus findings and noting when there were unremarkable findings as a way of triage. During that time, just like every other AI company and most drug discovery and device discovery organizations, finding enough information to create an intelligent AI algorithm is not an easy task. Over time, the team started using AI to build products to ensure a high-quality result for de-identification and anonymization. Since then, the team has built a research platform that allows for the creation of cohorts and tools specifically for healthcare and healthcare-based AI models, allowing multiple types of detection and triage, identification, reporting, and a labeling, quality assurance process. This has ensured that each study was properly curated so that the algorithms are being taught with certified and accurate clinical data. “What we had created was a skeleton key that unlocks doors to potential advances in medicine like nothing we had seen before. We built a product that started to solve the inherent problem at its core. A key that opened the door to possibilities that we have never seen before in healthcare. We realized that these solutions would change healthcare and drive real value and solve real challenges,” explains Conyers. A Mission to Better Healthcare Enlitic has pivoted towards data standardization and indexing to support research, new workflows, improve existing system functionality, and eliminate many downstream inefficiencies. Briefly, Enlitic’s solutions improve the investments that healthcare organizations have already made with their Radiology PACS, 3rd party AI models, Vendor Neutral Archives, and much more. Standardization is the keystone technology that Enlitic is using to build a world-class healthcare platform. “The reason Enlitic is miles ahead of the competition is that we are not strictly focused on point solutions, such as detection and triage algorithms. We have spent years developing intelligent AI algorithms designed to look at multiple aspects of the clinical workflow from technological, financial, clinical, and operational areas of the organization. We are looking at data workflow optimization and orchestration to improve all areas of workflow and to operationalize AI, turn net new and historical diagnostic images into valuable assets for a healthcare organization,” says Conyers. Today, Enlitic is on a mission to build high-value artificial intelligence solutions that would have the most significant impact on healthcare operations. The future for Enlitic is bright and full of incredible possibilities. The ability to focus on the entire clinical workflow from beginning to end and create synergies between Enlitic and other healthcare IT vendors ensures that the best possible solution for an enterprise healthcare organization is being implemented and deployed. “We’re going to continue to develop on our flagship platform, Curie Endex (Standardize), expanding into such areas as auto protocoling, order standardization, billing, and coding, drug, and device discovery. We will be developing a new advanced peer review and learning technology that focuses on creating an interruption free workflow for Radiologists. Therefore, we have a mission to unlock the value of decades of in-accessible clinical data and securely provide insights to all healthcare providers across the country,” concludes Conyers. Enlitic’s technology first and foremost, is specifically designed to address inefficiencies and capacity issues throughout the clinical workflow. Enlitic also builds solutions that include more advanced detection and triage algorithms focused on full- body X-rayThe secret to success is finding someone else to do all the hard work. Medical billers, say hello to Inbox Health. If you’d like to collect more while spending less, it’s time we got to know each other. Inbox Health is a patient engagement platform that can help you reduce costs, including paper statements and patient phone calls. We can also increase patient payment percentages and speed to payment. inboxhealth.com © 2021, Inbox Health, Inc. T he healthcare industry is striving to make patient care more streamlined and effective. When it comes to the medical imaging space, this translates to improving diagnosis while keeping dose as low as possible; and increasing efficiencies to minimize costs. Artificial intelligence has dominated the titles at imaging conferences and industry headlines for several years. While it has the potential in the long term to dramatically alter medical imaging, currently due to the tight regulatory guidelines, there are only limited FDA-cleared applications for the use of AI medical imaging. Meanwhile, machine learning solutions are also becoming game-changers in the industry. Today’s advanced machine learning aspires to provide computational methods for accumulating and changing knowledge in intelligent systems. This also includes learning mechanisms that assist to induce knowledge from the data. Machine learning solutions are also being adopted to help image analysis devices to better learn the changes in patterns and graphs to deliver results with better quality. Based on the above-said trends, the Image Analysis Solutions space is all set for a new level of transformation. However, healthcare facilities are finding it a tough time to adopt the right technology and to partner with the right solution provider. That’s why Medhealth Outlook Magazine has developed this special edition on Top 10 Image Analysis Solution Providers 2022. The companies included in the list stand out from the crowd with an array of advanced and innovative solutions that could redefine the way today’s image analysis space works. Innovators Medhealth Outlook 2022 IMAGE ANALYSIS aivia-software.com Website Bellevue, WA Headquarters Luciano Lucas Management Director Designation Based on 20 years of in-house R&D, Aivia is an innovative and complete 2-to-5D image visualization, analysis and interpretation platform. Using state-of-the-art algorithm and software architecture, Aivia delivers top performance on critical tasks such as display of large images and analysis of complex biological phenomena. Aivia is powered by a range of machine learning technology for both image segmentation, object classification and novelty detection. Aivia Software Description crowdai.com Website San Francisco, CA Headquarters Devaki Raj Management Founder & CEO Designation CrowdAI is on a mission to democratize vision AI and unlock billions in enterprise value by automating key visual workflows. By bringing together the best of human and computer vision, they empower companies of all sizes to unlock the value hidden in their growing amount of images and video. CrowdAI Descriptiondyadmed.com Website Boston, Massachusetts Headquarters Ronny Management Co-Founder & CEO Designation Dyad Medical, Inc. develops software which automatically analyzes the content of cardiac and cardiovascular images. Their core focus is MRI (heart characterization), CT (aortic valve sizing), Echo (real-time heart characterization for patient triage) and intravascular using optical coherence tomography (IVOCT). Dyad Medical Description enlitic.com Website San Francisco, CA Headquarters Jim Conyers Management CEO Designation Enlitic is a medical intelligence company that believes in evolving patient care. Since 2014, the company has developed technologies that improve how intelligence is used by eliminating inefficiencies in every stage of the clinical workflow Enlitic Description mach7t.com Website South Burlington, Vermont Headquarters Mike Lampron Management CEO Designation The purpose of Mach7 is simple: to deliver to healthcare professionals the tools they need to help their patients achieve better health outcomes. Every day, medical practitioners face the challenge of bringing together an immense amount of patient data from multiple disparate sources while also finding a way to make sense of it. Mach7 Technologies Description dia-analysis.com Website Be’er Sheva, Israel Headquarters Hila Goldman - Aslan Management Co-Founder & CEO Designation DiA Imaging Analysis is the world’s leading provider of advanced AI-based solutions for ultrasound analysis, making the use and analysis of ultrasound images smarter, faster, and more accessible. The company’s LVivo product line for cardiac and abdominal automated analysis allows clinicians with various levels of ultrasound experience to use and analyse ultrasound images on their ultrasound devices or healthcare IT systems with increased speed, efficiency and accuracy. DiA Imaging Analysis DescriptionImaris was founded in 1992 and operates out of two offices: one in Zurich, Switzerland and one in South Windsor, CT, USA. They serve customers in all parts of the world with direct representation in the US, Canada, China and Europe and through partner organizations in Asia and Australia. Through constant innovation and a clear focus on 3D & 4D imaging Imaris actively shapes the way scientists process microscopic images. Oxford Instruments Description radpartners.com imaris.oxinst.com Website Website El Segundo, CA South Windsor, CT Headquarters Headquarters Rich Whitney Ian Barkshire FReng Management Management Chairman CEO Designation Designation Radiology Partners is the largest radiology practice in the U.S., serving hospitals and other healthcare facilities across the nation. As a physician-led and physician-owned practice, they advance their bold mission by innovating across clinical value, technology, service and economics, while elevating the role of radiology. Radiology Partners Description subtlemedical.com vareximaging.com Website Website Menlo Park, CA Salt Lake City, UT Headquarters Headquarters Enhao Gong Sunny Sanyal Management Management Founder & CEO Co-Founder & CEO Designation Designation Subtle, Inc., is a medical imaging software company. Their goal is to improve the quality, value, and accessibility of medical imaging by significantly reducing cost, imaging time, and radiation dose. They use the state-of-art proprietary deep learning AI algorithms to renovate the radiology workflow to deliver faster, safer and smarter solutions for imaging exams. Varex Imaging Corporation is the world’s largest independent supplier of medical X-ray tubes and image processing solutions. From medical imaging to cargo screening and border security, their components are used by X-ray imaging system manufacturers everywhere to detect, diagnose, and protect. Their products are designed to harness the power of X-ray energy to pioneer advances in any application. Subtle Medical Varex imaging Description DescriptionPAGE NO 16 Innovators Medhealth Outlook 2022 IMAGE ANALYSIS We are the only solution that provides cardiologists with insights on every scan they perform, regardless of the modality used and what part of the heart they scan. We are clear on our goal to provide universal access to expert-level observations by teaching computers to automatically analyze medical images MAKING MEDICAL IMAGING EASY! DYAD MEDICAL : I n the world of medical tests where physicians and medical professionals rely on scans to provide the correct diagnosis, it becomes important to come up with solutions that will make their work easy. Like everything else medical professionals also rely on applications that will help them to optimize observations and give proper treatment to their patients. Some of the advantages of using advanced machine learning-based algorithms are designed to help reduce human error and misdiagnosis, reduce costs and improve the workflow and to help all the experts to be on the same page! The AI-based platform of Dyad medical helps to come up with automated cardiac and other image analyses. The amalgamation of machine learning and big data analytics helps medical professionals and experts to collaborate and sort data in an easy way to come up with clear decisions. It saves everybody’s time and makes it easy for people to collaborate and teach others thereby improving the efficiency of healthcare workflow and administration. Lifestyle diseases are a common factor that affects the lives of people all around the world. The CEO of Dyad Medical Ronny Shalev a Ph.D. himself understands the complexities of medical imaging and the challenges associated with it. Dyad Medical is the pioneer solution provider for cardiologists which gives valuable insights on each and every scan regardless of the method used and where the scan comes from. “We are the only solution that provides cardiologists with insights on every scan they perform, regardless of the modality used and what part of the heart they scan. We are clear on our goal to provide universal access to expert- level observations by teaching computers to automatically analyze medical images. The Dyad platform, will provide instantaneous cardiac image interpretations globally via the web, accessible by any device, which for a clinician is like having 1000’s of expert second opinions for them to consider in their diagnoses – all in real-time,” adds Shalev. People all over the world are now realizing the importance of having healthcare and insurance plans which Ronny Shalev, CEO17 PAGE NO will help them to access the best facilities. Dyad medical teams provide exceptional analysis of the medical images, especially for cardiac images which are easily accessible using any device over the internet. Once an image has been obtained one can get opinions of experts from any part of the world and all this is happening in real-time so the service is transparent, efficient, and reliable. Dyad medicals help to reduce costs and make things smooth by integrating the different aspects of imaging services and applications while ensuring that the data is enhanced easily and visibility is clear for all. Medical professionals often have to handle administrative and other duties also along with the diagnostics of patients in such instances it is better to double-check and rely on AI analytics of the scans to reach proper conclusions. Dyad Medical is using deep learning techniques to develop accurate medical image analysis making it easier for medical professionals to share the correct interpretation. The team of machine learning experts, medical experts has helped Dyad medical to come up with algorithms that improve the diagnostic accuracy of complicated procedures. People are often reluctant to rely on machines alone for diagnosis but it is essential to understand that data along with the results of the lab will help physicians to come up with new methods of treating ailments and with the ever- evolving technology more and more procedures in the future will depend on machine learning or AI to come up with non-invasive, quick and easy solutions in real-time. Dyad medical also provides access to best-in-class training and has been a part of the NVIDIA Inception program, which supports making image analysis more accessible, for all. The research team of dyad medicals makes it an ideal platform for research professionals and scientists to come up with protocols and deploy methods that will help to define images accurately and easily. Some of the techniques which Dyad medical specializes in are Echocardiogram Video and Still Image Analysis: It aids in the physiologic assessment of the heart, its valves enabling quick diagnosis and triage of patients. The company also has an Intravascular Optical Coherence Tomography (IVOCT) solution which is pending FDA approval but will aid in analyzing the plaque images and will make stent deployment easy. PAGE NO 18 THE PROMISE OF VIRTUAL REALITY IN HEALTHCARE By Todd Maddox, Vice President Research And Development, AppliedVR G iven that learning is defined as any structural or functional change in the brain, this is a powerful quote that explains why virtual reality (VR), an experiential learning tool, is so effective in so many aspects of healthcare. The human brain is comprised of at least four distinct learning systems, one of which is the experiential learning system that represents the sensory aspects of an experience, whether visual, auditory, tactile or olfactory. This system is complemented by the cognitive system (the “information” system Einstein alludes to) that processes and stores knowledge and facts using working memory and attention. Critically, working memory and attention are limited capacity resources and form a bottleneck that slows learning, with more information coming in and available to the learner. The brain also includes the behavioral learning system that has evolved to learn motor skills and to build the “muscle memory” needed to achieve goals. Processing in this system is optimized when behavior is interactive and is followed in real-time (literally within milliseconds) by corrective feedback. Finally, we have the emotional learning system in the brain that provides rich motivational and emotional context and trains situational awareness. Situational awareness is about nuance, but nuance that is vital to success. Whereas one can have all of the facts and figures available, and can have a strong behavioral repertoire, in the end one has to extract the appropriate information and engage the appropriate behavior in each distinct healthcare situation. One needs to know what to do, and when. Although each of the four learning systems in the brain are distinct, they all reside within the same brain with massive, dependent interconnections. In nearly MED19 PAGE NO all healthcare situations information needs to be stored and retained (cognitive), motor skills must be perfected (behavior), situational awareness must be strong (emotional), and all of these must be present within the relevant work context (experiential). In other words, ideally all four learning and performance systems in the brain should be activated in synchrony. The number of uses cases for VR in healthcare is many and is growing on a daily basis as the technology advances. We briefly review a few. VR Applications in Patient and Healthcare Provider Education and Training: Unfortunately, the overwhelming majority of both patient education and provider training is done through reading text, viewing Powerpoints, or watching videos. These load only on the cognitive learning system in the brain when a better approach would be to broadly engage experiential, cognitive, emotional and behavioral learning systems in the brain in synchrony. VR meets this need. Immersive VR experiences can be developed to educate patients and providers on particular medical conditions such as diabetes, high cholesterol, or congestive heart failure, using 3d dynamic representations of these bodily systems and condition, as opposed to using 2d static images that must be converted into 3d dynamic mental representations in the brain. Patients and providers can “virtually” see the heart in action or see the kidney and its role in the renal system. They can be guided through the steps needed to care and maintain a colostomy bag or insulin pump first-hand. VR can also be used to facilitate behavioral skills training such as venipuncture or surgery, and the care and maintenance of a kidney dialysis machine. VR Applications in Mental Health and Wellness: Mental health and wellness issues are a serious problem in the U.S. costing $100s billions in lost earnings and productivity each year. Although anyone suffering from mental health disorders or addiction, or in need of therapy should seek professional help, tools like VR show great promise for mitigating mental health problems, facilitating therapy, and for “unlearning” addictive behaviors. VR can complement therapy in many positive ways. Applications of VR for PTSD and anxiety disorders are growing. For example, a PTSD patient can be slowly habituated to anxiety and stress provoking environments but within a safe environment in VR. VR offers a perfect tool to address the need for multiple exposures because it is available 24/7 in almost any location. The number of mindfulness, relaxation, and mediation related VR experiences is also growing. VR also holds great potential for addressing addiction. By incorporating VR environments that share many contextual cues with the using environment into the rehabilitation setting, true unlearning is more likely to occur. VR Applications Pain Management: Chronic pain affects 100 million Americans and costs $800 billion annually to treat. There is an urgent need for effective, accessible, low-risk (non- opioid) treatments for chronic pain. VR has been shown to address this need. VR programs are being developed and validated that bring psychological treatments involving self-regulatory pain management skills into the headset. Patients have shown clinically meaningful reduction in perceived pain following an 8-week VR therapeutic program with these reductions remaining clinically meaningful several months post treatment. Summary and Future Directions The brain has evolved to learn best through immersive experience. Immersive experience is at the core of VR. Given the fact that learning involves any structural or functional change in the brain, immersive learning has numerous applications in healthcare. VR broadly engages multiple learning and performance centers in the brain, spreading the wealth of learning while reducing the cognitive load. VR applications in healthcare are many including patient and provider education and training, mental health and wellness, as well as pain management. Todd Maddox, Vice President Research And DevelopmentNext >