Khanh Nhi Nguyen’s Post

China to Test AI Assistant for Neurosurgeons: A Revolutionary Leap in Healthcare. In a groundbreaking move, China is set to embark on testing a custom AI assistant tailored explicitly for neurosurgeons. This initiative, scheduled to take place at seven hospitals across Beijing and other cities in the coming months, marks a significant stride in the integration of artificial intelligence in the medical field. The project aligns with the broader agenda of leveraging AI technology to revolutionize healthcare practices and enhance patient outcomes. The AI assistant, dubbed the CARES Copilot 1.0, has been developed by a Hong Kong-based agency affiliated with the prestigious Chinese Academy of Sciences. Drawing its foundation from Meta's Llama 2.0 model, the AI has undergone rigorous training and refinement using a vast array of medical literature, including papers, journals, and manuals. This comprehensive training enables the AI to serve as a knowledgeable surgical consultant for neurosurgeons. One of the most remarkable features of the CARES Copilot 1.0 is its ability to respond to queries by referencing a database containing over a million academic records. This wealth of information empowers neurosurgeons with instant access to a broad spectrum of medical knowledge, thereby aiding in decision-making processes during complex surgical procedures. Moreover, the AI assistant is equipped to analyze diagnostic data derived from various imaging modalities such as MRI, ultrasound, and CT scans. It can proficiently process diverse forms of media, including images, text, and audio, thereby providing comprehensive support to medical professionals. Looking ahead, researchers envision the AI playing a more proactive role in assisting neurosurgeons. Beyond merely responding to queries, the CARES Copilot 1.0 is expected to alert doctors about potential risks associated with specific procedures. By leveraging advanced algorithms and real-time data analysis, the AI can identify subtle indicators and patterns that may elude human perception. This proactive approach holds immense promise in preempting complications and optimizing patient care. The introduction of the CARES Copilot 1.0 represents a paradigm shift in the field of neurosurgery. By harnessing the power of AI, healthcare providers can augment their expertise, streamline workflows, and ultimately elevate the standard of care. Furthermore, initiatives like these underscore China's commitment to embracing technological innovation to address pressing healthcare challenges. However, amid the enthusiasm surrounding AI integration in healthcare, ethical considerations and regulatory frameworks must not be overlooked. Ensuring patient privacy, safeguarding against biases, and maintaining transparency in AI algorithms are paramount to fostering trust and accountability within the medical community.

Artificial Intelligence in Healthcare: Revolutionizing Patient Care In today's world, artificial intelligence is revolutionizing various industries, including healthcare. The quest for AI applications is to analyze between clinical data and patient outcomes. Much work has been done in the realm of AI and patient prognosis. The AI model is advantageous in the automated grading of diabetic retinopathy leading to increased efficiency in diagnosing many patients in a shorter time. By leveraging artificial intelligence in hospital settings and clinics, healthcare systems can become smarter, faster, and more efficient in providing care to millions of people worldwide. There is speculation about AI eventually replacing physicians, particularly in fields like radiology, pathology and dermatology, where AI's diagnostic ability can match or even exceed that of clinicians. The drug development industry is bogged down by skyrocketing development costs and research takes thousands of human hours. AI and automation can help perform many of those mundane tasks, freeing up employee time for other activities and giving them more face-to-face time with patients. As renowned technologists and futurist Ray Kurzweil once said, "Healthcare has always been a space where technology has made a huge difference. With AI, we are entering a new era of possibilities, where every patient can receive the personalized care they deserve."

**Unlocking AI’s Potential in Ophthalmology—The Game-Changer for Patient Care** I’ve been diving deep into MIT xPro’s AI modules, and here's the bottom line: AI is about to revolutionize how we approach ophthalmology and healthcare. Think diagnosis at scale, proactive care, and no wasted steps—exactly what clinics need to maximize efficiency and impact. Here’s how AI is changing the game: 🔹 **Real-Time Diagnostics & Prediction**: Imagine using advanced models (like SVMs and regression analysis) to identify early signs of presbyopia or glaucoma. It’s not just diagnosis; it’s proactive patient care, reducing complications and freeing up clinical time for the high-touch work that matters most. 🔹 **Human-Centered AI**: AI isn’t a one-size-fits-all tool—it’s about enhancing human expertise and fitting seamlessly into clinical workflows. HCI frameworks ensure that AI tools are intuitive and actually useful, making the experience better for both clinicians and patients. Bottom line: smarter diagnostics, better experiences. 🔹 **Generative AI for Imaging**: Think quality imaging and enhanced accuracy with GANs. This isn’t just “cool tech”—this is about using cutting-edge tools to spot issues before they become problems. That’s the kind of care that builds trust and reputation. This isn’t hype. It’s the future of patient care. AI is a competitive advantage that’s here to stay, and in ophthalmology, it could be the difference between “business as usual” and a clinic that’s unstoppable. Let’s go beyond standard practice and make this the best in healthcare. #AI #Ophthalmology #HealthcareTransformation #FutureOfMedicine #GameChanger

An interesting insight into how AI is shaping healthcare and its operations with its deep learning MLs, analytics, predictive and diagnostics capabilities!

When Tech Meets Healing: Real-Life Stories 🏥 In the heart of bustling hospitals and quiet clinics, technology whispers its magic. It's not just about wires and screens; it's about lives transformed. Let's dive into real-world tales where tech donned its white coat and danced alongside doctors, nurses, and patients. Real life scenarios where technology can be applied in Healthcare: 1️⃣ Precision in Patient Positioning: CT Imaging Case Study: ⭕Radiology departments juggled patient volumes and image quality. Enter the world of AI-enabled camera technology; It detects anatomical landmarks, ensuring accurate patient positioning for CT scans. ✔ Result? Less radiation, sharper images, and confident diagnoses¹. 2️⃣ Accelerating MR Exams: The Art of Speed Case Study: ⭕ MR scans—essential for precision diagnosis—often took time. ✔ AI-based image reconstruction stepped in, It accelerated exams, reduced costs, and improved patient experience. Less scanner time, more healing vibes¹. 3️⃣ Ultrasound Simplified: Less Manual Labor Case Study: ⭕Cardiac care leans on ultrasound. But some measurements were time-consuming and user-dependent. ✔ AI stepped up, automating repetitive tasks. Now, hearts reveal their secrets faster, and doctors smile¹. 4️⃣ Telehealth: Bridging Distances, Healing Hearts Case Study: ⭕ Grandma, snug at home, chats with her doctor via video call. ✔ Telehealth shrinks distances, making healthcare a Wi-Fi-powered hug. Diagnosis, prescriptions, and reassurance—delivered virtually. 5️⃣ AI in Cancer Communication: A Lifeline Case Study: ⭕ Patients with advanced cancer need clear communication. ✔ AI steps in, supporting clinicians. From treatment options to emotional support, tech bridges gaps. Patients breathe easier, knowing they're heard⁴. 6️⃣ Data Analytics: Sepsis Alerts and Timely Antibiotics Case Study: ⭕ Clinical data analytics saves lives. Digital sepsis alerts, test bundles, and treatment plans—central to an initiative. ✔ Result? A 71% increase in timely antibiotics. Tech whispers, "Heal faster!". In Conclusion: The Digital Oath Dear medics, embrace tech's symphony. Learn, adapt, and keep empathy alive. For in this binary ballet, lives find hope, and medicine evolves—one algorithm at a time. 🌟👩⚕️👨⚕️ Do you want to get ahead by understanding the revolution in Healthcare and learn alongside other healthcare practitioners? Join our community already; https://lnkd.in/dS-CNkse #medicsintech #healthtech #aiinhealthcare #telemedicine

Artificial intelligence is revolutionizing healthcare—from improving surgical training and procedures to equipping healthcare providers with insights and personalizing care for patients around the world. “In the next few years AI is going to play an even bigger role,” says Jim Swanson, Executive Vice President and Chief Information Officer, Johnson & Johnson. That’s especially true at Johnson & Johnson, where “the technology is currently being used to help our employees detect disease at earlier stages, accelerate drug discovery, assist with clinical trial recruitment, map a patient’s anatomy before a procedure and help surgeons predict the best tool for surgery,” he says Here are six ways Johnson & Johnson is using AI to help advance healthcare: 1. Analyzing the operating room for efficiency and physician learning 2. Improving surgical procedures 3. Speeding up the process of discovering new medicines 4. Enabling more targeted clinical trial recruitment 5. Enabling more personalized care 6. Helping treatments reach patients faster “It’s our responsibility to make sure patients and customers have reliable access to the transformational therapies our company creates,” says VISHAL VARMA, Supply Chain Digital & Data Science and Operations Research, Johnson & Johnson Services, Inc. “AI is helping us build a stable, efficient and resilient supply chain so we can deliver on that obligation.” “Another way Johnson & Johnson is using ML is to improve our understanding of disease progression, which allows us to anticipate when a patient may benefit from one of our medicines,” says Jeff Headd, Vice President and Head of Technology, Innovative Medicine Global Commercial Strategy Organization. This application is part of a Johnson & Johnson global capability known as Engagement.ai, designed to guide the company’s engagement with healthcare professionals.

SaMD in Healthcare is breaking silos & encouraging Integrated Systems! Noteworthy Integrated Systems statistics: 👉 More than 950 AI-enabled Software as Medical Devices (SaMD) are already approved/cleared by the FDA till 2024! 👉 Companies connecting with multiple EHRs exhibit higher FHIR adoption (73%) compared to those with single EHR integrations (27%) While dental, cardiovascular & digital imaging are some of the popular branches of healthcare where SaMD platforms are growing exponentially, one other trend is disrupting the SaMD space. SaMD platforms are growing their AI capabilities either vertically or horizontally to ensure better provider adaptation. This means, there are SaMD platforms that serve different departments or have linear growth in terms of a practice. For instance, there are SaMD solutions with: 👉Predictive, analytical, imaging & diagnostic solutions for Cardiology/Dentristry/ObGyn 👉3D imaging for Cardiovascular, Neurology, Orthopedic, Dentistry   👉Clinical Deterioration prediction across all chronic conditions   👉Patient Journey automation & other analytics across patient journeys of consulting, labs, hospitalizations, medications etc. Some of such FDA-approved/cleared SaMD platforms that are successfully marketed in the healthcare provider space are: VideaHealth: AI platform helping dental clinicians provide better care, deepen patient relationships & accelerate practice performance Imagen Technologies: Proprietary FDA-cleared AI detection & diagnosis software that provides world-class image interpretation services directly in primary care settings AgileMD: FDA-cleared AI combined with actionable, embedded decision support for all-cause clinical deterioration EnsoData: Designed for Sleep Disorders, Enso provides Waveform Artificial Intelligence (AI) powered cloud platform that provides solutions for viewing, scoring, editing & reporting of PSGs and HSATs Ceevra, Inc.: AI-powered 3D imaging software platform that supports numerous surgical specialties – including Urology, Thoracic, OB/GYN, General/HPB surgery & others Pearl: A Dental AI platform with leading capabilities in 3D dental imagery that are developed on top of trained deep-learn ML commercialized for Fortune 100 clients Luma Health: AI-powered Patient Success Platform that delivers better outcomes for healthcare providers & patients All the #SaMD players that are expanding their AI capabilities; data consumption from multiple EHRs becomes essential to train & commercialize their ML models. This suggests that there is a dire need for FHIR adoption & interoperable healthcare solutions Shout out to: Florian Hillen Joe Cuccinelli Dan Bachiochi Zack Liston Jonathan Allan Garrison Goodman Ajay Shrestha Jeremy Humbert Fred Turkington Brock Hensen Justin Mortara, Ph.D. Russ Yoshinaka Ken Koster Ophir Tanz Cambron Carter Ed Furlong Aditya Bansod Nick Lees, CISA Humair Burney Will Diepholz #HLTH2024 #FHIR #ai #integration #healthcare #hospitals

Imagine a future where healthcare decisions are powered by AI. NRC Health's Strategic Advisor Ryan Donohue recently sat down with Paul Coyne, Senior Vice President and Chief Nursing Executive at Hospital for Special Surgery in New York City, to discuss patient perceptions of AI and what this movement may mean for the future of healthcare. How are you currently talking about AI in your organization and are staff leaning into the conversation? #aiinhealthcare #digitalhealth https://lnkd.in/gPCW7K38

Couldn't agree more with the key take-home points. Leveraging AI both from the clinician- as well as the patient-facing sides holds the potential to not only improve our everyday work lives, but also enhance patient engagement and empowerment. The end goal is always promoting health in our communities and optimizing delivery of care to those who suffer. #aihealthcare #ai #healthcareinnovation #medicine #patientengagement #healthoutcomes

CINA-CSpine AI Tool Gains FDA Approval for Fractures - DistilINFO Hospital IT #CINA-CSpine AI Tool FDA Approval The blog post discusses the recent FDA approval of the CINA-CSpine AI tool for detecting fractures in the cervical spine. This approval marks a significant milestone in the use of artificial intelligence in healthcare. #Accuracy of CINA-CSpine AI Tool The CINA-CSpine AI tool has shown high accuracy in detecting fractures, outperforming traditional methods. This accuracy is crucial in ensuring timely and accurate diagnosis for patients with cervical spine injuries. #Benefits of CINA-CSpine AI Tool The use of the CINA-CSpine AI tool offers numerous benefits, including faster diagnosis, reduced errors, and improved patient outcomes. Healthcare providers can leverage this technology to enhance their diagnostic ai.mediformatica.com #spine #hospital #radiologists #imaging #this #medical #healthcare #algorithm #medicalimaging #aitools #tools #cinacspineaitool #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/4gG3x1Y)