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< PreviousPatients are at the core of everything we do. By creating better workflows that support minimally invasive procedures through robotics and imaging, we enable healthcare professionals to improve patient outcomes as collaboration between healthcare professionals, medical technology companies, and other stakeholders in the healthcare industry. This is where Synaptive Medical comes into the picture. Synaptive Medical is a Toronto-based medical device and technology company that collaborates with leading clinicians and healthcare systems to integrate revolutionary products and services that cross traditional barriers and information silos in and beyond the operating room. The company’s Synaptive’s BrightMatter™ solution includes surgical planning and navigation, robotic digital microscopy and informatics that gives clinicians the right information where and when they need it to ensure the best possible outcomes for their patients. A Portfolio that Stands Out Founded in 2012, the company is focused on developing and delivering advanced solutions for surgical and imaging needs of healthcare professionals. Their products are designed to enable better patient outcomes through improved visualization, automation, and connectivity in surgical and imaging workflows. Designed through interdisciplinary collaboration to support healthcare professionals and systems, the Synaptive Integrated Suite enables precision care through the synergy of high-quality information and cutting-edge automation at all stages of clinical intervention. “Patients are at the core of everything we do. By creating better workflows that support minimally invasive procedures through robotics and imaging, we enable healthcare professionals to improve patient outcomes. And by helping them see the brain and body in ways they never have before, they can even perform procedures that might otherwise be impossible.” Synaptive Medical has developed an impressive portfolio of products that are used by healthcare professionals worldwide. These products include surgical robotic systems, advanced imaging solutions, and software platforms that help healthcare professionals in diagnosing and treating various medical conditions. One of the flagship products of Synaptive Medical is the Modus V™ robotic system. This robotic system is designed to assist surgeons during complex brain and spine surgeries. The Modus V™ system provides real-time intraoperative imaging and visualization, which helps surgeons to perform surgeries with more precision and accuracy. The system also includes a robotic arm that can hold and move surgical instruments, further increasing the precision of surgical procedures.The company’s ImageDrive™ is a web-based artificial intelligence and machine- learning platform for users in the research sector. ImageDrive collects, organizes and shares data and digital images among research groups to optimize collaboration efforts while protecting data integrity. It connects with external applications to easily aggregate data, enabling sharing among research collaborators and secure peer review for clinical trials and research. The solution also uses customized automated HIPAA-compliant de-identification tools to formulaically de-identify subject data for research or clinical trials. While enabling collaboration and data sharing, it helps to control access to data through workgroups and user privileges to protect data integrity. It comes with customized tagging and classification systems that help find what the need faster. “Synaptive Medical’s solution provides a zero-footprint HTML5 image viewer, eliminating the need for researchers to use an external viewing program.” A Comprehensive View of Patient Data A key product in the Synaptive Medical portfolio is the BrightMatter platform. This platform provides advanced imaging solutions for neurosurgeons and neurologists. The platform includes an MRI scanner that can capture high-resolution images of the brain and spine, as well as software tools that help healthcare professionals to analyze and interpret these images. The BrightMatter platform can also integrate data from other imaging modalities such as CT and PET scans. The company’s Synapse™ platform is a software solution that provides healthcare professionals with a comprehensive view of patient data. The platform can integrate data from multiple sources, including electronic medical records, imaging data, and other clinical information. This integrated approach to data management enables healthcare professionals to make more informed decisions and provide better care for their patients. In addition to their products, Synaptive Medical also offers a range of services to support healthcare professionals in the use of their technologies. These services include training, installation, and maintenance of their products. The company also provides customer support services to ensure that healthcare professionals have access to the help they need when using Synaptive Medical’s products. It has received several awards and recognitions for their innovative products and solutions. In 2021, the company was named one of Canada’s Best Managed Companies by Deloitte. This award recognizes companies that demonstrate excellence in business performance, innovation, and sustainable growth. Synaptive Medical has also been recognized by Fast Company as one of the most innovative companies in healthcare. The company has established partnerships with several leading healthcare institutions around the world. These partnerships help to ensure that Synaptive Medical’s products are developed and tested in collaboration with some of the most respected healthcare professionals in the industry. The company has also established partnerships with other medical technology companies to develop and integrate complementary products and solutions.As a company, Synaptive Medical is one of the fastest growing technology company that is focused on developing innovative solutions for surgical and imaging needs of healthcare professionals. Their products are designed to improve patient outcomes through better visualization, automation, and connectivity. With a strong portfolio of products and services, as well as partnerships with leading healthcare institutions and medical technology companies, Synaptive Medical is well-positioned to continue to drive innovation in the healthcare industry. A Global Specialty Pharmacy & Healthcare Services Provider Serving Patients, Payers, Life Sciences Manufacturers, and Providers • Financial & Copay Assistance Programs • Group Purchasing Organization • Drug Rebate Programs • SpecialtyMedicalandPharmacyBenefit Management Customizable Specialty Pharmacy solutions for improving medication access, optimizing cost savings, and enhancing the patient journey. • Pre-Commercialization & Market Access • Distribution, Wholesale, 3PL Services • NationalSpecialtyPharmacyFulfillment • Patient Support/ HUB Services 1055 Westlakes Dr. Suite 175 | Berwyn, PA 19312 | Phone: (877) 389-9040 |AscellaHealth.com TMI mage analysis is a rapidly growing field of study that involves the use of various techniques and algorithms to extract meaningful information from digital images. With the increasing availability of high-quality digital imaging devices and the vast amounts of data they generate, image analysis has become an essential tool for a wide range of applications, including medical diagnosis, surveillance, remote sensing, and scientific research. Image analysis techniques range from basic image processing operations, such as filtering and thresholding, to more advanced machine learning approaches, such as deep learning and computer vision. These techniques allow for the extraction of valuable information from images, such as the detection of objects, the recognition of patterns, and the measurement of properties like size, shape, and color. The future of image analysis is bright, with a range of advancements and developments on the horizon. One of the key drivers of this progress is the continued evolution of machine learning techniques, including deep learning algorithms, which are revolutionizing the field of image analysis. These methods can accurately and quickly identify patterns, objects, and other features in images, making them invaluable for applications ranging from medical imaging to surveillance and security. To help healthcare facilities adapt and align with the changing industry and keep track of the trendsetters, Medhealth Outlook Magazine has prepared a list of some of the most innovative Image Analysis solution providers. The companies included in the list are the ones with some of the most outstanding solutions that could redefine the way the industry works today. Innovators Medhealth Outlook 2023 IMAGE ANALYSIS deepcell.com Website Menlo Park, CA Headquarters Maddison Mahdokht Masaeli Management CEO Designation Deepcell is a healthcare technology company that develops AI-powered cell classification and analysis tools to help improve disease diagnosis and treatment. The company’s mission is to revolutionize diagnostics and drug discovery by leveraging cutting-edge machine learning algorithms and deep learning technology. Deepcell’s platform uses high-resolution imaging techniques and proprietary algorithms to analyze individual cells and generate detailed molecular profiles. Deepcell Description dia-analysis.com Website Beer-Sheva, Israel Headquarters Hila Goldman Management CEO Designation DiA Imaging Analysis is a global leading provider of FDA cleared and CE marked cardiac ultrasound AI software solutions that automate the way clinicians use and analyze ultrasound images. The company’s LVivo product line for cardiac and abdominal automated analysis allows clinicians with varying levels of ultrasound experience to automatically analyze ultrasound images on their ultrasound devices near bedside and on healthcare IT system workstations remotely, with increased speed, efficiency, and accuracy. Today, DiA serves thousands of end-users worldwide. DiA Imaging Analysis Descriptiongleamer.ai Website Cambridge, MA Headquarters Christian Allouche Management CEO Designation Gleamer is a healthcare technology company that specializes in developing AI-powered medical imaging software. The company was founded in 2018 and is headquartered in Paris, France. Gleamer’s software uses deep learning algorithms to analyze medical images, such as X-rays, CT scans, and MRIs and automatically detect abnormalities or potential issues. GLEAMER Description intelligentultrasound.com Website Alpharetta, GA Headquarters Stuart Gall Management CEO Designation Designation Intelligent Ultrasound is a healthcare technology company that develops and commercializes advanced ultrasound simulation and AI-based image analysis software.Intelligent Ultrasound’s technology is designed to improve medical education and training for healthcare professionals. Its ultrasound simulation software, ScanTrainer, provides realistic training for ultrasound scanning skills, allowing healthcare professionals to gain practical experience without the need for real patients. Intelligent Ultrasound Description medicvision.com Website Orlando, FL Headquarters Eyal Aharon Management CEO MedicVision is a medical imaging technology company that specializes in developing software solutions for image processing and analysis. MedicVision’s technology is designed to help healthcare professionals make more accurate diagnoses and improve patient outcomes. Its software solutions are used in a variety of medical specialties, including radiology, cardiology, and oncology. Medic Vision Imaging Solutions Description encord.com Website London, UK Headquarters Eric Landau Management CEO Designation Encord empowers leading medical institutions and companies to address some of the hardest challenges in computer vision for healthcare. The company provides Purpose-built software tools to accelerate computer vision in healthcare. Encord DescriptionMirada Medical is a healthcare technology company that develops advanced imaging software solutions. Mirada Medical’s software solutions are used in a variety of medical specialties, including radiation oncology, nuclear medicine, and diagnostic radiology. The company’s technology is designed to help healthcare professionals make more accurate diagnoses, plan and deliver treatments more effectively, and monitor patient outcomes. Mirada Medical Description qure.ai mirada-medical.com Website Website New York, NY Denver, CO Headquarters Headquarters Prashant Warier Jon DeVries Management Management CEO CEO Designation Designation Qure.ai is a healthcare technology company that specializes in developing AI-powered software solutions for medical imaging analysis. Qure.ai’s software uses deep learning algorithms to analyze medical images, such as X-rays and CT scans, and automatically detects abnormalities or potential issues. The technology is designed to help healthcare professionals make more accurate diagnoses and improve patient outcomes. Qure.ai Description synaptivemedical.com ultrasight.com Website Website Toronto, ON Newyork, NY Headquarters Headquarters Cameron Piron Davidi Vortman Management Management President CEO Designation Designation Synaptive Medical is a healthcare technology company that develops and markets integrated surgical technologies and medical imaging solutions. Synaptive Medical’s technology is designed to improve surgical precision and efficiency, with a focus on neurosurgery. The company’s flagship product, Modus V, is a robotic arm system that can be integrated with advanced imaging technologies to assist neurosurgeons during procedures. Ultrasight’s software uses deep learning algorithms to analyze medical images, such as echocardiograms and ultrasounds, and provide insights to healthcare professionals. The technology is designed to help improve the accuracy and speed of diagnoses, enabling earlier and more effective treatment for patients. Synaptive Medical Ultrasight Description DescriptionOPENING NEW POSSIBILITIES FOR DIAGNOSTIC AND THERAPEUTIC DISCOVERIES DEEPCELL : Innovators Medhealth Outlook 2023 IMAGE ANALYSIS M orpholomics is a relatively new field in healthcare that combines morphological analysis, imaging, and computational biology to study and understand the structure and function of biological systems at a high level of detail. In fact, this innovative tech enables to analyze complex biological structures and systems in a way that was not possible before. Compared to molecular analysis, the assessment of deep morphological properties of cells is still either manual or limited and has not been integrated into big data and atlassing initiatives as seamlessly as genomics and transcriptomics data. This is where Deepcell, a life sciences company that harnesses the potential of artificial intelligence (AI) to identify and isolate single cells 17 PAGE NO based on their morphology, is creating a difference. Deepcell is a platform that is providing a novel and unique capability for broad biological sample analysis and processing. “At Deepcell, through standardization of imaging, and using advances in AI and machine learning we aim to cross this chasm of manual and complicated morphological analysis,” Maddison Masaeli, Co-Founder & CEO, Deepcell. Analyzing biological sample images is challenging due to the complexity of these images. Usually, the analysis is either performed by human experts or is limited to a limited number of rudimentary parameters, like size and granulation. Deepcell has integrated foundation models and self-supervised methods into its offerings. In microfluidics, improving speed, flexibility, precision, and mass production are always in demand. Deepcell’s approach to using self-supervised Deep learning models to interpret images is redefining biological image analysis, by creating a comprehensive quantitative measurement of morphology, which is impossible to achieve with feature engineering approaches. “Given that our immediate customers are scientists and researchers who would develop applications on top of Deepcell’s platform, scientific rigor, and commercial viability are very well aligned. Of course, we have products in our R&D pipelines that are being optimized for commercial viability and scalability, and they will be released once this is achieved,” adds Maddison. An important aspect that highlights Deepcell’s value proposition is the ability to sort which would allow collecting beyond ground truth. It would enable to connect morphology to other omes and learn the “gold” truth. That is the type of ground truth that is not subject to human knowledge (and its limitations) and also human error. In addition, it can scale much better than ground truth. Another angle that makes Deepcell stand out is the tight integration of hardware, software, and data which would allow it to break the problem into different areas. The team also has an unwavering focus on collecting the highest quality of data. “We see some of the platforms that position themselves as imaging are not truly imaging but they reconstruct an image like data from other signal readouts. We do believe that it is important to see the cells for what they are,” explains Maddison. While explaining the success story of Deepcell, Maddison recalls an instance that portrays the company’s position in the industry. Deepcell worked with a client who was primarily interested in running molecular analyses on melanoma tissue samples. One of the challenges they were We are proud to offer our cross-platform, vendor-neutral solutions to healthcare providers in the IBM Watson Health’s ecosystem, leading the change to help transform ultrasound analysis with AI facing was the fact that highly pigmented cells were interfering with their readout. The Deepcell platform provided solutions where the client could easily select these cells and deliver a sample that was more suitable for their molecular analysis. Since opening its doors, Deepcell has been a pioneer in delivering outstanding solutions that could redefine the way healthcare works. The space of Deepcell’s application spans diagnostic, therapeutic, and discovery applications. As a company, Deepcell’s main goal is to make these capabilities widely accessible and empower the development of applications on top of its platform. “Our mission is to “Empower scientists through the intelligence of data, community, and technology. We will continue to develop more solutions and expand our offerings to see our mission through. Moreover, through our solutions in the hardware and software space, we are establishing a new standard for imaging and image analysis across various biological samples. Our goal is for the rich signal of morphology to transform the same way that genomics has transformed, and open new possibilities for novel diagnostic and therapeutic discoveries,” concludes Maddison. By Craig A. Stevens LSS-MBB, PMP, AEC, S(F/D/M/PO)C, SCT, SC(MS,MD,CS)-P, ACS, President, Westbrook Stevens, LLC I once read that every time you think, read, hear music, or any other audible message from a child, entertainer, business stakeholder, scientist, newscaster, to even an animal or alarm – your brain interprets those sounds, stories, and information as pictures. To dive deeper, every picture is made up of information that can be reproduced using mathematical sequences. Furthermore, every molecule and every atom have their own vibrational fingerprint also represented with mathematical information. Today, we can instantly detect the chemical and biological makeup of samples by exciting these vibrations and visually interpreting the atomic fingerprints. Based on this, Artificial Intelligence (AI) has the unique potential to revolutionize image analysis in healthcare and every other industry from agriculture, business and finance, manufacturing, science and engineering, to law enforcement, and trades like plumbing welding, and electrical. AI will improve the accuracy and efficiency of interpretating the elements, symptoms, and root causes as well as the messages in images. It will recognize undetectable changes or irregular patterns in information to a point of foretelling the future based on instant probabilistic risk assessments. AI is disrupting current healthcare applications as AI algorithms can: 1. Reveal cardiovascular abnormalities by analyzing cardiac images such as echocardiograms, electrocardiograms, and angiograms to detect anomalies such as arrhythmias, coronary artery disease, and heart failure . MED NSIGHTS IN IMAGE ANALYSIS: BENEFITS, CHALLENGES, AND CHANGE:Abstract: AI is transforming healthcare and other industries by improving image analysis for accurate and efficient symptom interpretation and future outcome predictions. AI can detect cardiovascular abnormalities, cancers, segment organs and tissues, classify diseases, and predict outcomes based on image analysis. Ethical and privacy concerns need to be addressed. AI can aid in the implementation as well. It can ease project management and provide guidance while reducing employee workload.Next >