Any-Edge Inc.’s Post

🚀 Samsung Medison has acquired the French AI #medtech startup Sonio for €86 million, marking a significant step in expanding its AI-powered #healthcare solutions. #Sonio specializes in #AI for diagnostic reporting in obstetrics and gynecology ultrasound, with its FDA-approved Sonio Detect solution automating prenatal screening. 🔗 This acquisition is expected to create strong synergies between Sonio's #AItechnology and #Samsung's medical expertise, improving efficiency and helping bridge the global healthcare gap. Sonio will continue to operate independently in #France, maintaining compatibility with all ultrasound device makers. 🌍 #Samsung's strategy is to strengthen its #leadership in cutting-edge #medical devices, with this #collaboration expected to drive a paradigm shift in prenatal ultrasound exams. Source: Tech Funding News #AI #MedTech #HealthcareInnovation #SamsungMedison #Sonio #PrenatalCare #UltrasoundTechnology #MedicalDevices #FutureTechly

New medical AI launches, from India to Korea - MobiHealthNews #NewMedicalAILaunches #India #Korea A recent wave of new medical AI launches has been observed in India and Korea, showcasing the growing influence of artificial intelligence in healthcare technology. #InnovativeSolutionsFromIndia In India, innovative AI solutions are being developed to revolutionize healthcare delivery and improve patient outcomes. #CuttingEdgeTechnologyInKorea Meanwhile, Korea is at the forefront of cutting-edge technology in the medical AI space, with new launches that are set to transform the healthcare landscape. #ImpactOnHealthcare These new medical AI launches are expected to have a significant impact on healthcare systems in both countries, paving the way for more efficient and effective patient care. #CollaborationOp ai.mediformatica.com #brain #medical #this #imaging #india #medicalimaging #patients #technology #clinicians #decisionsupport #neurosurgery #radiologists #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3SO1q0Y)

𝐔𝐥𝐭𝐫𝐚𝐬𝐨𝐮𝐧𝐝 𝐁𝐨𝐧𝐞 𝐃𝐞𝐧𝐬𝐢𝐭𝐲 𝐃𝐞𝐭𝐞𝐜𝐭𝐨𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐢𝐳𝐞, 𝐓𝐫𝐞𝐧𝐝𝐬, 𝐋𝐚𝐭𝐞𝐬𝐭 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬, 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐚𝐧𝐝 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭 𝟐𝟎𝟐𝟒-𝟐𝟎𝟑𝟎 𝗥𝗲𝗾𝘂𝗲𝘀𝘁 𝗙𝗼𝗿 𝗙𝗿𝗲𝗲 𝗦𝗮𝗺𝗽𝗹𝗲 𝗥𝗲𝗽𝗼𝗿𝘁, https://lnkd.in/gem6JseT 𝑻𝒉𝒆 𝑼𝒍𝒕𝒓𝒂𝒔𝒐𝒖𝒏𝒅 𝑩𝒐𝒏𝒆 𝑫𝒆𝒏𝒔𝒊𝒕𝒚 𝑫𝒆𝒕𝒆𝒄𝒕𝒐𝒓 𝑴𝒂𝒓𝒌𝒆𝒕 𝒊𝒔 𝒑𝒓𝒐𝒋𝒆𝒄𝒕𝒆𝒅 𝒕𝒐 𝒈𝒓𝒐𝒘 𝒂𝒕 𝒂 𝑪𝑨𝑮𝑹 𝒐𝒇 6.8% 𝒇𝒓𝒐𝒎 2024 𝒕𝒐 2030. 𝑻𝒉𝒆 𝒎𝒂𝒓𝒌𝒆𝒕 𝒔𝒊𝒛𝒆 𝒘𝒂𝒔 𝒗𝒂𝒍𝒖𝒆𝒅 𝒂𝒕 𝒂𝒑𝒑𝒓𝒐𝒙𝒊𝒎𝒂𝒕𝒆𝒍𝒚 𝑼𝑺𝑫 450 𝒎𝒊𝒍𝒍𝒊𝒐𝒏 𝒊𝒏 2023 𝒂𝒏𝒅 𝒊𝒔 𝒆𝒙𝒑𝒆𝒄𝒕𝒆𝒅 𝒕𝒐 𝒓𝒆𝒂𝒄𝒉 𝒂𝒓𝒐𝒖𝒏𝒅 𝑼𝑺𝑫 720 𝒎𝒊𝒍𝒍𝒊𝒐𝒏 𝒃𝒚 2030. An #UltrasoundBoneDensityDetector is a non-invasive medical device that uses ultrasound technology to measure bone mineral density (BMD). It assesses the quality and strength of bones, particularly in the heel or finger, to identify potential bone loss or osteoporosis. This device is often used as a screening tool for osteoporosis, especially in individuals at high risk, such as postmenopausal women and older adults. 𝗠𝗮𝗿𝗸𝗲𝘁 𝗗𝗿𝗶𝘃𝗲𝗿𝘀: • Rising prevalence of osteoporosis and osteopenia: Aging populations and sedentary lifestyles are contributing to an increase in bone-related diseases. • Early detection and prevention: Early diagnosis of bone density issues allows for timely intervention and preventive measures. • Non-invasive and painless procedure: Ultrasound bone density detectors offer a safe and comfortable alternative to traditional methods like DEXA scans. 𝗠𝗮𝗿𝗸𝗲𝘁 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀: • Expanding applications: Beyond osteoporosis screening, ultrasound bone density detectors can be used to monitor bone health in various populations, including athletes, post-menopausal women, and individuals with specific medical conditions. • Integration with telemedicine: Remote monitoring of bone health using portable ultrasound devices can improve accessibility and convenience. • Development of advanced algorithms: Improved data analysis and interpretation techniques can enhance the accuracy and clinical utility of ultrasound bone density measurements. 𝗠𝗮𝗿𝗸𝗲𝘁 𝘀𝗲𝗴𝗺𝗲𝗻𝘁 𝗯𝘆 𝗽𝗹𝗮𝘆𝗲𝗿𝘀, 𝘁𝗵𝗶𝘀 𝗿𝗲𝗽𝗼𝗿𝘁 𝗰𝗼𝘃𝗲𝗿𝘀 pinyuan medical Furuno USA, Inc. GE HealthCare BeamMed Aarna Systems Pvt Ltd. STEMart Inc. BM Tech OSTEOSYS CO., LTD Hologic, Inc. 𝗘𝗻𝗾𝘂𝗶𝗿𝗲 𝗯𝗲𝗳𝗼𝗿𝗲 𝗽𝘂𝗿𝗰𝗵𝗮𝘀𝗶𝗻𝗴 𝘁𝗵𝗶𝘀 𝗿𝗲𝗽𝗼𝗿𝘁, https://lnkd.in/gVDxt_DJ Market intelliX Market Pulse Updates #UltrasoundTechnology #BoneDensity #MedicalDevices #ClinicalDiagnostics #HealthcareInnovation #Diagnostics #MedicalImaging #DiagnosticTools #BoneHealth #HealthTech #InnovationInMedicine #HealthcareIndustry #OsteoporosisPrevention #TechInHealthcare #MedicalAdvancements

Embracing the AI-Led Future of Cardiology in India India is on the brink of a #groundbreaking transformation in the realm of cardiology, propelled by the rapid advancements in #machinelearning (ML) and #artificialintelligence (#AI). This wave of innovation, led by pioneering start-ups primarily from Israel and the #USA, promises to revolutionize the detection and #treatment of #heartproblems across the nation. At the forefront of this revolution are #AI algorithms designed to detect and assess the risk of heart abnormalities such as #arrhythmia and irregular heart rates. Already undergoing trials and #implementation in various centers, these algorithms hold the potential to predict and preemptively identify conditions that could lead to stroke, paralysis attacks, or sudden cardiac death. Moreover, #AI is making its way into everyday medical devices, notably stethoscopes, enhancing their diagnostic #capabilities. While human ears might miss subtle indicators, AI-enhanced stethoscopes excel at detecting issues such as valve problems or congestion in heart chambers, ensuring a more comprehensive diagnosis for patients. AI's integration into the interpretation of heart #CTscans and #MRIs is also reshaping cardiology diagnostics. With access to vast repositories of images, AI algorithms can discern minute details in scans, aiding in the early detection of #diseases that might otherwise go unnoticed. The ramifications of these advancements are profound. By facilitating early detection and treatment, AI has the potential to prevent numerous heart issues, thereby saving lives and enhancing patient outcomes. As we progress into 2024 and beyond, AI's role in #cardiology is poised to expand further, heralding a new era in Indian #healthcare. In India, where nearly thirty lakh heart attacks occur annually and approximately three crore people suffer from coronary diseases, diagnosing cardiac ailments during routine health check-ups remains a challenge for medical practitioners. Indian start-ups are stepping up to address these challenges, offering innovative solutions that leverage AI. Cloud-connected devices capable of interpreting and analyzing #echocardiogram (ECG) reports within minutes are empowering physicians with timely and accurate diagnoses, thereby improving #patientcare and outcomes. AI isn't just a game-changer; it's a lifesaver in the field of cardiology. As we peer into the future, it's evident that the #integration of AI will continue to evolve, ushering in a paradigm shift in the detection and treatment of heart diseases in India. With collaborative efforts between innovators, healthcare professionals, and policymakers, the AI-led future of #cardiology promises to make significant strides towards a healthier nation. #News #Medlr #Healthnews #Healthcare #Health

Attention #Healthcare Providers! Dive into the Future of Healthcare with NextGen Invent, an INC.5000 company! Harness the power of AI to supercharge your #business and transform #patientcare!  In a recent Harvard University HBS article, Catherine Cote emphasized the critical impact of quick data analysis in healthcare decisions. Imagine having the ability to make life-altering choices, predict large-scale health events, and plan for the long term—all through the lens of complete, accurate data!  According to a McKinsey & Company report, integrated medical records not only improved cardiovascular outcomes but also saved a staggering $1 billion in reduced office visits and lab tests. Increased patient satisfaction and engagement scores were an added bonus! 📈💊 The healthcare landscape is evolving, with over 95% of US hospitals adopting Electronic Health Records #EHR and 60% using IoT devices. In the UK, over 90% of people are willing to share healthcare data for the greater good. Now, imagine taking this accessibility and transforming raw intel into actionable insights using #dataanalytics! 📊💻  Ready to unlock the potential of AI in #healthcare?  https://lnkd.in/dmmx_ExR Let's embark on a journey to revolutionize patient care together!     #d2c #HIPAA #PCP #telepractice #genericdrug #publichealth #medical #AMC #neurology #cardiology #rheumatology #dermatology #oncology #orthopaedics #ophthalmology #cms #cqi #doctors #surgeons

What’s your definition of marketing? The simplest, most effective way to describe it? In healthcare, I’m finding that most practices want to broadcast a wide, shallow net to catch any and every patient with any and every problem while using the same language. Looks something like this: “At XYZ orthopedics we use the most advanced technology and state of the art equipment offered by top doctors to revolutionize the way back pain is treated.” 😣 😣 😣 Rather, they should be going narrow and deep. Identify first, the solution you have for a particular problem Secondly, identify who would want that solution. Lastly, identify where they hang out and put your message there. Here’s what that looks like: “At XYZ orthopedics we know you can’t stay at the top of your golf game if you’re dealing with nagging back pain. The problem is most treatments for back pain only offer temporary relief because they address the pain NOT the direct cause of the pain. While being pain free is great, we offer an approach using stem cell therapy that can help you be rid of the pain for good. [insert short testimonial from a golfer here for social proof] Click to schedule your consultation with one of our doctors that specialize in helping you stay pain free without the use addictive medicines, more steroids or surgery.” ☝️ ☝️ This language is specific to one person (golfer) with one problem (back pain) using one solution (stem cell therapy) using simple to understand language. And because stem cell therapy is a cash based service, we would need to make sure this message is delivered to golf clubs in our local market that are affluent in nature. This type of marketing message and tactic brought hundreds of thousands to my private practice on a regular basis. It works. So, what’s your definition of marketing? #healthcare #healthcaremarketing #marketingmessage #doctors #healthcareproviders

🚀 Cutting-Edge Lesion Detection with YOLOR and SAHI 🚀 At Artelus, we're pushing the boundaries of AI in healthcare by implementing advanced detection techniques to identify retinal lesions in fundus images accurately. Here’s a deep dive into the tech behind it and how we’re making a difference in retinal disease diagnostics. 👇 🔍 What is YOLOR? YOLOR (You Only Learn One Representation) is a next-gen object detection model that combines explicit and implicit knowledge to boost accuracy. It’s unique because it: ✅ Integrates a blend of traditional object detection and knowledge distillation. ✅ Leverages a multi-task learning framework that enhances both speed and precision. ✅ Is optimized for various tasks, from image segmentation to object detection. 🔍 What is SAHI? SAHI (Slicing Aided Hyper Inference) is a framework designed to enhance object detection on large images by: ✅ Slicing large images into smaller tiles to ensure no detail goes unnoticed. ✅ Enabling efficient inference on high-resolution images without compromising on speed. ✅ Increasing accuracy, especially for small objects and dense lesion areas. SAHI HAIN BHAI! 🤣 🔬 How Artelus is Using YOLOR + SAHI for Retinal Lesion Detection: Our advanced AI pipeline harnesses the power of YOLOR and SAHI to detect and classify retinal lesions, helping healthcare professionals achieve early and accurate diagnoses. Here’s what we’re detecting: 🔹 Microaneurysms (MA): Small, round lesions that can be the first sign of diabetic retinopathy. Early detection is critical! 🔹 Exudates (EX): Hard exudates that indicate fluid leakage often associated with diabetic retinopathy. 🔹 Hemorrhages (HE): Small blood leaks in the retina – another indicator of retinopathy. 🔹 Soft Exudates (SE): Cotton wool spots that can signify blood supply issues. 💡 By localizing each lesion type with high precision, Artelus is making strides toward a future where retinal diseases can be detected faster, more accurately, and at earlier stages. Our technology brings high confidence in every detection, ensuring each diagnosis is backed by data-driven insights. 📊✨ Blog Post Coming Soon! Meanwhile, you can check the latest innovations we are doing in the field of Ophthalmology by visiting: https://artelus.ai/ #DeepLearning #ObjectDetection #MedicalImaging #RetinalHealth #AI #Artelus #DiabeticRetinopathy #HealthcareInnovation #YOLOR #SAHI #MachineLearning #Artelus #ArtelusAI

Check out the latest report from IMIR Market Research Pvt. Ltd. on the 𝟯𝗱 𝗮𝗻𝗱 𝟰𝗱 𝘂𝗹𝘁𝗿𝗮𝘀𝗼𝘂𝗻𝗱 𝗱𝗲𝘃𝗶𝗰𝗲𝘀 𝗺𝗮𝗿𝗸𝗲𝘁 Outlook and Geography Forecast till 2028 Don't miss out on this opportunity to stay informed about the latest trends in the industry. 3d And 4d Ultrasound Devices Market Size, Share & Trends Analysis Report By Type (Stationary 3D and 4D Ultrasound Devices, Portable 3D and 4D Ultrasound Devices), Global Economy Insights, Regional Outlook, Growth Potential, Price Trends, Competitive Market Share & Forecast, 2023 - 2031 Global 3d And 4d Ultrasound Devices Market size was valued at USD XX Million in 2022 and is projected to reach USD 3932 Million by 2031, growing at a CAGR of 4.4% from 2022 to 2031 according to a new report by Intellectual Market Insights Research. 📚 𝗥𝗲𝗾𝘂𝗲𝘀𝘁 𝗳𝗼𝗿 𝗳𝗿𝗲𝗲 𝘀𝗮𝗺𝗽𝗹𝗲 𝗥𝗲𝗽𝗼𝗿𝘁:👇 https://lnkd.in/dNQygx8j ADVANCED IMAGING CENTERS Advanced Radiology Center and Clinical Laboratories AL-HAYAT MEDICAL CENTER Alnoor Diagnostic Centre Alpinion Medical Systems Analogic. Athreya Hospital Bankstown Lidcombe Medical Imaging Barstow Community Hospital Butterfly Network, Inc. Canada Diagnostic Centres Canon Medical Systems Corporation. Capitol Imaging Services C-Tech Labs Edwar Technology Dawei Medical (Jiangsu) Co., Ltd. Dr. Sumait Hospital FOCUS IMAGING SYSTEMS Fostr Healthcare GE HealthCare GE Hitachi Integrity Medical Service, Inc. Lifecare Diagnostics MacroBaby Motherhood Women's & Childcare Hospital Pvt. Ltd Onsite Imaging Services, LLC Pancita's Pregnancy Spa PH DIAGNOSTICS LLC Primer Cherang Clinic Johor Bahru Professional Radiology Pulsenmore. Pyramids Diagnostic Services Ltd Rongtao Medical Tech Ltd Samsung Medison  Shared Medical Technology, LLC.

AI Technology & Ophthalmology In 2024 In the United States, people over the age of 65 are expected to grow to 23% of the population by 2050, which is a 47% increase from our current demographic. In Delaware, just like the U.S., people are living longer. In addition, many retirees are choosing Delaware as a place to relocate due to the beach and low taxes! Hence, our health system will be filled with an increasing population of elderly patients to care for. Perhaps you already notice the difficulty in finding a primary care doctor. With the increase in the aging population, the need for doctors is going up.  In Ophthalmology, we care for many elderly patients as diabetes, macular degeneration, cataracts and glaucoma become more prevalent as we age. As the demand goes up, we are continuing to find ways to provide access to great eye care for all Delawareans. Medicine is finding ways to help harness AI’s power, all while keeping the ever-important doctor-patient relationship intact. AI technology in medicine is still young but growing more powerful every day.  In Ophthalmology, we are seeing AI technology take off in diagnosing diabetic retinopathy and referring patients to specialists who can treat diabetic retinopathy. In addition, AI technology is being developed to diagnose Glaucoma and Age-related macular degeneration. All three are leading causes of blindness in the United States. Last, the eye has been known to hold some clues in diagnosing Alzheimer’s Disease. Studies are being done, via photographs of the retina, to non-invasively diagnose early Alzheimer’s Disease using AI technology. Use this link to continue reading this article https://lnkd.in/e3jrAv79 follow @eyephysiciansandsurgeons on facebook & @eyephysiciansandsurgeons on instagram

👉🏼 The efficacy of artificial intelligence in urology: a detailed analysis of kidney stone-related queries 🤓 Gökhan Cil 👇🏻 https://lnkd.in/ecefQNuv 🔍 Focus on data insights: - ChatGPT demonstrated commendable accuracy, correctly answering 80% of binary questions and 93.3% of descriptive questions. - The model's performance showed no significant variation across different question difficulty levels. - ChatGPT's accuracy significantly improved upon reassessment of initially incorrect responses after two weeks. 💡 Main outcomes and implications: - Highlighted the potential of ChatGPT in urological diagnostics. - Identified areas for enhancement, especially in the completeness of responses to complex queries. - Endorsed the incorporation of AI into healthcare with a call for prudence and professional supervision. 📚 Field significance: - Artificial Intelligence - Urology - Healthcare - ChatGPT - Diagnostics