MediFormatica’s Post

In the current era of artificial intelligence, it is important and often difficult to distinguish hype versus substantive impact. This is very true in our field of acute stroke as well. When every minute counts until the artery in the brain is opened up and blood flow restored, we are always searching for ways to optimize workflow. Most of the delays to stroke thrombectomy that exist today are due to pre-cath lab bottlenecks and process inefficiencies. It is critical that we continue to work with EMS to streamline pre-hospital assessment and triage of suspected large vessel occlusion stroke patients. Take, for example, an EMS stroke alert patient that arrived by Pembroke Pines Fire Rescue last week highlighting the essence of parallel process. Patient in his 50s with left gaze preference, aphasia, right hemiplegia who arrived during after work hours: 1) Due to high RACE score on paramedic assessment our hospital was notified in advance of ambulance arrival 2) Neurointerventional team was alerted by phone call from ER prior to imaging based on high RACE score and dense MCA syndrome - a clinical presentation with high pre-test probability for LVO 3) Imaging confirmed LVO - with alert from our AI app a few minutes later; NIR physician reviewed the source imaging, due to false positives from AI 4) NeuroInterventional physician communicated the findings to ER physician - clinical judgment for patient selection is key 5) Patient transferred immediately from CT scanner in ER to cath lab as the team was ready due to early activation Outcome: Full reperfusion achieved - patient talking, lifting right arm/leg on the table Workflow Metrics: Door to puncture - 57 minutes Puncture to vessel open - 25 minutes If we had waited until our AI app alerted us with LVO detection to activate the cath lab, the sequential process would have delayed all of the steps downstream which would have significantly reduced the chance of this patient having a good outcome. An AI app is only as good as the process within which it is implemented. Memorial Healthcare System Randy Katz, DO, MBA, FACEP Peter Antevy MD Maritza Alvarez SVIN - Society of Vascular and Interventional Neurology Society of NeuroInterventional Surgery American Heart Association EMS World Kaiz S. Asif, MD, FAHA, FSVIN Shashvat Desai MD Dileep R. Yavagal, MD Tudor Jovin Ashutosh Jadhav Radoslav Raychev, MD, FAHA, FSVIN May Nour MD PhD

#medical_doctor #radiologist #pathologist #hospital_ceo #ainerd This is my amazed-by-AI-face 😊 but read to the end! Quite incredible what AI for healthcare applications are capable of today... and it's still only very early days in AI. I've been mostly working in the field of radiotherapy for the past 20 years and have seen the rapid evolution of technology around treatment planning, patient imaging (or as it's referred to in radiotherapy: simulation) and treatment delivery. For example, various companies tried to automate contouring of avoidance organs for the last two decades. A multitude of approaches have been used and although for some volumes results have been quite decent, using technologies like model-based or multi-atlas segmentation, overall every vendor failed thus auto-contouring wasn't really mainstream in the past. However, the real breakthrough came just a few years ago when the first AI auto-contouring solutions came on the market resulting in a step-change in the clinical utility of the results. Human Bytes, the company I work for has been blessed to partner since 2022 with what I'm convinced is the best AI in radiotherapy supplier: TheraPanacea. I don't say that necessarily because their AI auto-contouring performance is consistently ranked as the best in recent multi-vendor comparisons, but because their speed and utility of innovation is unlike anything I've seen in my career. I like this pace a lot. But that's actually not the main reason of my post. What I was very recently also amazed by is our new partner at Human Bytes: Corti.ai. Corti understands ambient (freeform) patient conversations and clinical reporting, and transcribes it on-the-fly into a documented report including ICD-10 codes or your equivalent local codes. Oh, and it corrects the report as you correct yourself speaking. Have a look: https://lnkd.in/daqxDNtK It does that for 10+ languages and 30+ specialties such as oncology, radiology, pathology, psychiatry, etc.! 🤯 Imagine if you could really focus on the patient conversation, or, interpretation of the medical images / tissue samples, rather than typing up the report and making sure to not forget all the right codes for the correct reimbursement. At least, as a patient, I would love that from my provider. 🤔 Because it's such an amazing AI for various aspects of healthcare including also telehealth or even emergency responders, we teamed up with Corti and will have a webinar on November 11th about it's uses and demo in multiple languages. ⏰ If you're around on November 11th at 3pm CET for the in-depth webinar or want the replay, then make sure to register at https://lnkd.in/dug_49Jk. Appreciate 🙏 if you let colleagues know about this opportunity to learn about how Corti's AI could make the life's easier. Thanks for reading and see you hopefully soon on November 11th.

As AI #technology continues to evolve, researchers and #physicians are finding ways of integrating it into the care and management of patients. Read more about #AI and medicine here: https://bit.ly/3NyCfNP #MedEd #Cardiology

NUH AI interprets spinal stenosis in ’47 seconds’ and more AI briefs - Healthcare IT news Title: NUH AI interprets spinal stenosis in '47 seconds' and more AI briefs #NUHAIinterpretsSpinalStenosis #AIbriefs Summary: National University Hospital (NUH) in Singapore has developed an artificial intelligence (AI) system that can interpret spinal stenosis in just 47 seconds. This innovative technology is part of a series of AI briefs that aim to revolutionize healthcare IT. The AI system uses deep learning algorithms to analyze medical images and provide accurate diagnoses quickly and efficiently. Other AI briefs include tools for detecting pneumonia and predicting patient outcomes. These advancements in AI have the potential to greatly improve patient care and streamline healthcare processes. Healthcare IT professionals should stay informed about these ai.mediformatica.com #hospital #spine #patients #study #technology #healthcare #news #surgery #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3TsNaf4)

Asian gastro docs generally trust and accept AI 🗒 ✨ The survey conducted by Nanyang Technological University Singapore reveals a generally positive reception of AI among gastroenterologists and gastrointestinal surgeons in Asia. The majority of the 165 professionals surveyed expressed trust and acceptance of AI in diagnosing and assessing colorectal polyps, with about 80% in favor of AI for detection and characterization, and 70% for AI-assisted removal. Interestingly, the survey also found that less experienced gastroenterologists perceived more risks associated with AI tools compared to their more seasoned counterparts. This suggests that confidence in AI may grow with clinical experience, and highlights the importance of familiarizing young medical professionals with AI technologies. The study underscores the potential of AI to enhance medical practices and patient care, particularly in specialties that rely heavily on image-based diagnosis and interventions, such as gastroenterology. As AI tools become more prevalent, their acceptance by healthcare professionals will be crucial for their successful integration into clinical settings. The findings from this survey are promising and indicate a readiness to embrace AI within the medical community in Asia. Source: https://lnkd.in/dh-SZYDm #AIGastroenterology #HealthcareAI #MedicalInnovation #AITrustInHealth #AIAdoption

Are we already in the era of being replaced by AI?  Many are opting out of radiology for fear of being left without a job in the near future. Meanwhile, the number of examinations is increasing, there aren't enough professionals to deliver quality results and those who are up to the challenge are overloaded with work. Radiology is a fascinating and very important medical speciality that allows for extensive clinical, teaching and research activity. May the next generations realise that AI is important, but it remains a tool that does not dispense the critical sense of experts. "With lengthened read times for falsely flagged examinations, system inefficiencies may outweigh the potential benefits of using the tool in a high volume, low prevalence environment." https://lnkd.in/ewdby2nW #neurorad #neurology

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

The Expanding Reach of AI The medical imaging AI market has seen significant steady growth in recent years. Currently there are four subspecialties— cardiology, neurology, pulmonology and breast— that dominate the medical imaging AI market. But what about Women’s Health? Exciting improvements are also shaking up routine processes in obstetrics and gynaecology. AI tools can simplify and improve vital workflows for providers such as fetal heart exams, pelvic floor assessments, fetal anatomy identification and 3D fibroid mapping. At GE HealthCare, we are proud to offer innovative AI imaging technology in Women’s Health and will continue to set our focus on further development. Despite the rising demand, there are also some challenges facing the industry: especially in Europe stringent CE mark regulations are slowing down the implementation of AI technology, with only 11 CE mark approvals in Europe compared to 55 new FDA approvals in the US between July 2023 and June 2024. But even within Europe, AI medical imaging technology is successfully applied, and interest in AI imaging has also grown in the Middle East, mainly in Saudi Arabia. What makes AI particularly useful, are comprehensive AI solutions for entire subspecialties, which are also expected to be the future of the industry. #Voluson #Ultrasound #GEHealthCare #VolusonSignature #obstetrics #ultrasoundtechnology #sonography #innovation #AI #AIimaging

The Expanding Reach of AI The medical imaging AI market has seen significant steady growth in recent years. Currently there are four subspecialties— cardiology, neurology, pulmonology and breast— that dominate the medical imaging AI market. But what about Women’s Health? Exciting improvements are also shaking up routine processes in obstetrics and gynaecology. AI tools can simplify and improve vital workflows for providers such as fetal heart exams, pelvic floor assessments, fetal anatomy identification and 3D fibroid mapping. At GE HealthCare, we are proud to offer innovative AI imaging technology in Women’s Health and will continue to set our focus on further development. Despite the rising demand, there are also some challenges facing the industry: especially in Europe stringent CE mark regulations are slowing down the implementation of AI technology, with only 11 CE mark approvals in Europe compared to 55 new FDA approvals in the US between July 2023 and June 2024. But even within Europe, AI medical imaging technology is successfully applied, and interest in AI imaging has also grown in the Middle East, mainly in Saudi Arabia. What makes AI particularly useful, are comprehensive AI solutions for entire subspecialties, which are also expected to be the future of the industry. #Voluson #Ultrasound #GEHealthCare #VolusonSignature #obstetrics #ultrasoundtechnology #sonography #innovation #AI #AIimaging