Manvitha Nadella’s Post

Will #AI replace doctors? This is a question close to my heart. In my latest video during my panel in Techne , I share insights on how Ayamedica is using AI to bridge gaps in healthcare—but not to replace the irreplaceable human touch of doctors. AI can be transformative, helping us access vital information faster, streamline communication, and ultimately support healthcare professionals in delivering the best care possible. But it’s important to remember that while technology can enhance, it cannot replicate the compassion and intuition of a doctor. With over 20 years, my commitment is to ensure that Ayamedica uses AI as a force for good strengthening the bond between technology and humanity in medicine. Join me in exploring this journey. #HealthcareInnovation #AIinHealthcare #Ayamedica #FutureOfMedicine #yourmedicalpassport #stayconnected #AI

Will #AI replace doctors? In his latest video, our CEO Mr. Hossam Shouman dives into the future of healthcare, discussing how AI and Ayamedica are shaping a new path in the industry. With over 20 years of experience, he shares his insights on how AI can support—but not replace—the essential role of doctors, bringing better, faster healthcare to all. Tune in to explore the powerful collaboration between tech and healthcare! #Ayamedica #HealthcareInnovation #AIInMedicine #FutureOfHealthcare #yourmedicalpassport #stayconnected #HealthcareInnovation #AIinHealthcare #Ayamedica #FutureOfMedicine

🤖 Healthcare AI 101 🤖 Don't let rapid AI advancements overwhelm you and then start integrating AI tools haphazardly. Instead, focus on understanding the ethical and regulatory landscape first. Then once you grasp these aspects, start applying AI to enhance patient care. This is always a better path forward. Share your thoughts on AI in healthcare or subscribe to our newsletter for insights! 🌟 #HealthcareAI #Innovation #AIGrandRounds #MedicalInnovation #DigitalHealth #HealthTech #PrecisionMedicine #AIinHealthcare #ClinicalAI #FutureOfHealthcare #MedicalTechnology #HealthAI #AIResearch #TechInMedicine #HealthcareInnovation Ankit Kansagra Jaimin Trivedi, MBBS, MPH, FACC

In health tech, trust and transparency in AI decisions are crucial. Local Interpretable Model-agnostic Explanations (LIME) is a useful tool that makes complex AI models easier to understand. What is LIME? LIME explains individual predictions by creating simple models that approximate complex AI models. This helps understand why the AI made a particular decision, which is very important in healthcare. How Does LIME Work? LIME works by perturbing the input data (making slight changes) and observing how the model's predictions change. It then fits a simple, interpretable model (like a linear model) to these changes to approximate the complex model's behavior locally. This process highlights which features are most influential in the decision-making process for a specific instance. Here are some of its applications in Health Tech: 1. Diagnostic Support: LIME can explain why an AI model predicts a condition like diabetes. It highlights essential factors such as glucose levels, age, and BMI, helping doctors trust and understand the AI's recommendations. 2. Personalized Treatment Plans: In personalized medicine, LIME can clarify why a specific treatment is recommended. This helps both patients and doctors understand and trust AI suggestions. 3. Fraud Detection in Medical Claims: LIME helps explain why a medical claim is flagged as suspicious, making detecting fraud more transparent and efficient. Using LIME in health tech makes AI decisions more transparent and reliable, leading to better patient care and more efficient operations. What do you think about this? Share your thoughts! #HealthTech #AI #MachineLearning #ExplainableAI #LIMe

With the rise of smart hospitals and smart healthcare, personalized medicine, improved diagnostics, and better patient outcomes have become realities. As AI is taking center stage here, there is another element that is crucial for trust: Explainable AI (XAI). Traditional AI algorithms/ models produce results without explaining the reasons behind them. This lack of transparency is disconcerting, especially in a healthcare setting. Doctors and patients must understand how AI has arrived at a recommendation or decision. Only then, the stakeholders in the ecosystem can make informed decisions without worrying about biases. Explainable AI (XAI) is the answer to this. It can help doctors in improving diagnosis by explaining the reasons behind its diagnosis. When patients understand the reasoning behind AI-driven decisions, it fosters shared decision-making. For example, when XAI is used in imaging analysis and it explains why the AI system flagged a particular abnormality in an X-ray or scan, doctors can prioritize areas of concern. In another example, if XAI can disclose the factors influencing an AI's drug recommendation, doctors can consider the patient's medical history and potential drug interactions. As XAI technology continues to develop, it has great potential to revolutionize healthcare. It can help in strengthening the human-AI partnership and can also ensure responsible AI development. #XAI #AI #SmartHealthcare #SmartHospital #HealthIT

Current IT trends -🚀 Artificial Intelligence (AI) is revolutionising healthcare AI's potential to analyse complex medical data is paving the way for more accurate diagnoses and personalised treatments. Did you know that AI can predict diseases like Alzheimer's years before symptoms appear? This is a game-changer for early intervention and treatment. 🔍 Fact: By 2025, AI in healthcare is expected to reach £28 billion in value. 💡 Embracing AI in healthcare not only improves patient outcomes but also reduces costs and enhances operational efficiency. How is your organisation leveraging AI? #AI #Healthcare #Innovation #FutureOfMedicine

"Can AI Replace Doctors? 🤖 vs 👩⚕️👨⚕️" With AI making strides in healthcare, from diagnostics to personalized treatment plans, it's tempting to wonder if it could eventually replace doctors. But is it realistic to think technology can fully take over such a human-centered profession? 💡 What are your thoughts on the future of AI in medicine?   - Will it complement doctors or replace them?   - What are the biggest opportunities and challenges?   - How can we ensure AI improves healthcare without losing the personal touch? Feel free to share your perspectives or experiences! #AI #HealthcareInnovation #FutureOfMedicine #ArtificialIntelligence

AI in Healthcare gets a benchmark for better diagnosis and care. Hugging Face, a key player in the AI space, released a valuable tool for the healthcare industry: Open Medical-LLM. This innovative benchmark provides a standardized testing ground for evaluating generative AI models designed for medical tasks. It's a leader board for comparing and evaluating various LLMs. Why this matters: 1. Standardized Testing, Improved Trust: Previously, assessing medical AI relied on subjective methods. Open Medical-LLM establishes a common evaluation ground, promoting more reliable and trustworthy deployments of AI in healthcare settings. 2. Benchmarking for Better Performance: This benchmark will push developers to create even more effective AI models for healthcare. By having a clear testing standard, developers can focus on areas where AI needs improvement in understanding and responding to complex medical inquiries. 3. Collaboration & Innovation Potential: Open Medical-LLM facilitates collaboration between AI researchers and medical professionals. This fosters a more unified approach to developing and integrating responsible AI tools that can ultimately improve patient care. Thoughts? The AI Entrepreneurs talks about everything AI, business and healthcare, subscribe while it's still free- https://lnkd.in/d5UrNVtT image creds: huggingface #AI #Healthcare #MachineLearning #GenerativeAI #medicalllm #medicalai #huggingface #healthcareai #aiinhealthcare #ainews #aitech #aitechnology #aidevelopments

, Artificial intelligence (AI) is transforming the medical field, empowering doctors with advanced tools to improve patient care. Pls don’t get left behind!!! This is exactly what happened when internet exploded in the 90s…and we ignored it before we realized that it’s here to stay!! By analyzing extensive medical data, AI algorithms aid doctors in making precise diagnoses and treatment plans. AI-powered chatbots provide patients with immediate access to healthcare information and answer common medical queries. Moreover, AI assists in identifying patterns and trends in patient data, enabling doctors to predict and prevent diseases. Nevertheless, it is crucial to view AI as a tool that complements doctors rather than replacing them. The human touch and expertise remain indispensable in delivering compassionate and individualized care to patients. AI for doctors is a game-changer, revolutionizing healthcare for the better. You better start embracing Ai one step at a time before it’s too late !!! #kingscollegedubai #burjeelholding #gemseducation #mediclinic #nmchealthcare #autismawareness #abatherapy #dubaihealthcare #dubaimoms

🚑 AI in Healthcare: Transforming Diagnosis and Treatment 🤖 Artificial Intelligence (AI) is revolutionizing healthcare, reshaping how we diagnose, treat, and manage diseases. From faster, more accurate diagnoses to personalized treatment plans, AI is driving a new era of medicine that’s more efficient and patient-centric. 💡 🔍 Medical Imaging is one area where AI is making a significant impact. Advanced AI algorithms can analyze medical images—like X-rays, MRIs, and CT scans—with astonishing precision, detecting patterns and abnormalities that might be missed by the human eye. This capability leads to earlier and more accurate diagnoses, potentially saving lives by catching conditions in their early stages. 🩺✨ 📊 Predictive Analytics is another game-changer. By analyzing vast amounts of patient data, AI can predict health outcomes, identify high-risk patients, and enable proactive interventions. Hospitals and clinics are using these predictive models to reduce readmission rates, optimize resources, and improve overall patient care. 🏥💻 🧬 Personalized Medicine is taking healthcare a step further by tailoring treatment plans to individual patients based on their genetic makeup, lifestyle, and health history. AI-powered tools are helping doctors choose the most effective treatments for each patient, reducing trial-and-error approaches and improving outcomes. 🧑⚕️💊 In short, AI is transforming healthcare by making it more precise, proactive, and personalized. As AI continues to evolve, its impact on diagnosis and treatment will drive us toward a future where healthcare is not just about treating diseases, but about preventing them altogether. 🌟 hashtag #KnowledgeSolutionsInstitute #AI #ArtificialIntelligence #AIGlobal #AIFuture #AITrends #MachineLearning #ML #MLAlgorithms #MLModels #MLApplications #DataScience #DataScientist #DataScienceLife #DataScienceCommunity #BigData #DeepLearning