Annalise.ai’s Post

We are proud to share a pivotal advancement at HEALWELL AI: the validation of our Pentavere technology for preventative care through the use of generative AI. This marks a profound achievement in the landscape of healthcare technology, as detailed in our recently published landmark study. This validation underscores our commitment to pioneering early disease detection and patient management through innovative AI solutions. Aaron Leibtag, CEO of Pentavere, commented, “Pentavere is pushing the boundaries of innovation in healthcare and leveraging AI to address the most pressing challenges facing patients and healthcare providers. We have harnessed this capability into very productive work with world leading pharma and cancer centers to help optimize patient care in lung cancer. We’ve developed best in class AI that is core to our mission of preventative care. This paper highlights our ability to use generative AI in the real world to unlock key clinical and commercial value." This milestone is not just a testament to technological advancement but a beacon for improved patient care protocols. The study offers a glimpse into the future of healthcare, where AI plays a crucial role in prevention and well-being. We extend our gratitude to our dedicated team, our collaborators, and the healthcare community for their unwavering support. We remain steadfast in our mission to revolutionize healthcare through AI-driven innovation. For more information, please visit the link provided below: https://lnkd.in/efejJVtD

OpenAI and Color Health are collaborating to advance cancer care with a new AI tool powered by OpenAI’s GPT-4o model, aimed at enhancing cancer screening and treatment planning. This AI copilot assists doctors by generating personalized screening plans based on patient data and clinical guidelines, streamlining diagnostic workflows and reducing delays in treatment initiation. By automating administrative tasks and providing comprehensive patient insights, the tool supports oncologists in focusing on critical decision-making, potentially improving patient outcomes and reducing physician burnout. The partnership highlights AI’s potential to revolutionize healthcare by augmenting medical capabilities while emphasizing the importance of human oversight in clinical settings. Ready to leverage AI for transformative healthcare solutions? Contact us: https://lnkd.in/gxuF7sEe Click here for more: https://lnkd.in/gtx7K4AT Image Credits: The Wall Street Journal #OpenAI #ColorHealth #CancerCare #AIinHealthcare #GPT4 #AICopilot #MedicalInnovation #HealthTech #Oncology #PatientCare #DigitalTransformation #AIdevelopment #HealthcareSolutions #MedicalAI #PhysicianSupport #ClinicalAI #FutureOfHealthcare #Unitedstates #Unitedkingdom #UAE #Canada #Markovate

🎯 AI Use Case #1 I plan to write a series highlighting practical AI use cases with significant impact. 💡 What better way to kick-start this series than by highlighting the use of Mia (an AI tool) which has successfully demonstrated the ability to identify cancer signs overlooked by human radiologists? The AI tool was tested alongside NHS clinicians in the UK and analyzed over 10,000 mammograms. Despite most of the participants being cancer-free, Mia successfully flagged all cases with symptoms of breast cancer and even identified an additional 11 cases that doctors had missed. ✅ Training and Accuracy Mia was trained on a dataset of over 6000 previous breast cancer cases to learn patterns and imaging biomarkers associated with malignant tumours. Mia accurately predicted the presence of cancer with 81.6% accuracy and correctly ruled it out 72.9% of the time. (Both scenarios are important) ✅ What will be the impact of this AI tool? Globally, 2 million new cases of breast cancer are diagnosed annually. Early detection is crucial for improving survival rates and treatment outcomes. Researchers are focusing on leveraging AI to enhance the system to predict patients’ risk both from a diagnosis and treatment side effects perspective. The long-term goal is to develop an AI system that can comprehensively evaluate a patient’s prognosis and treatment needs. ✴ What's next? The research team plans to enrol 780 breast cancer patients in a clinical trial called Pre-Act to validate the AI risk prediction model over a 2-year follow-up period. This will enhance the system’s ability to personalize care and predict patient outcomes accurately. ✨ The healthcare system in most countries is already stretched, and having an AI tool that can expedite diagnosis and personalize care will be a much-needed boost for our medical professionals. ☘ I will be keenly following this space and bringing more use cases. Stay tuned. #AIinHealthcare #BreastCancerAwareness #MedicalTechnology #ArtificialIntelligence #HealthTech #CancerDetection #MiaAI #MedicalResearch #HealthcareInnovation #ClinicalTrials #PersonalizedMedicine #EarlyDetection #HealthcareTechnology #ResearchUpdates #MedicalAdvancements #HealthcareAI #PrecisionMedicine #CancerResearch #MedicalAI #LinkedIn #HealthcareIndustry #DigitalHealth #FutureofMedicine #StayInformed

𝗕𝗿𝗲𝗮𝘀𝘁 𝗖𝗮𝗻𝗰𝗲𝗿 𝗔𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀 𝗠𝗼𝗻𝘁𝗵: 𝗔𝗜 𝗮𝘀 𝗮 𝗟𝗲𝗮𝗽 𝗙𝗼𝗿𝘄𝗮𝗿𝗱 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲🎗️ As October is 𝗕𝗿𝗲𝗮𝘀𝘁 𝗖𝗮𝗻𝗰𝗲𝗿 𝗔𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀 𝗠𝗼𝗻𝘁𝗵, it is important to reflect on the advancements in early detection and treatment. With 𝗼𝘃𝗲𝗿 𝟮.𝟯 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝗻𝗲𝘄 𝗰𝗮𝘀𝗲𝘀 diagnosed globally each year, early detection is key to improving survival rates and outcomes. Artificial Intelligence (AI) is revolutionizing breast cancer screening, offering accuracy comparable to that of experienced radiologists. AI systems, like those developed by Google Health in partnership with iCAD, are integrated into mammography workflows to 𝗵𝗲𝗹𝗽 𝗿𝗮𝗱𝗶𝗼𝗹𝗼𝗴𝗶𝘀𝘁𝘀 𝗶𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝗯𝗿𝗲𝗮𝘀𝘁 𝗰𝗮𝗻𝗰𝗲𝗿 𝗺𝗼𝗿𝗲 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁𝗹𝘆 𝗮𝗻𝗱 𝗾𝘂𝗶𝗰𝗸𝗹𝘆. These systems are trained on thousands of mammograms, learning to detect complex features that may indicate cancer, potentially spotting early signs that the human eye might miss. At UMC Utrecht, AI is also being used to assist pathologists in 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗻𝗴 𝗺𝗲𝘁𝗮𝘀𝘁𝗮𝘀𝗲𝘀 earlier and more accurately. It is used to detect abnormalities and categorize them based on the level of risk of it being a cancer spot. This approach not only speeds up the diagnostic process but also reduces the burden on healthcare professionals. The impact of the technologies mentioned above is significant: • 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆: AI can detect breast cancer with precision similar or better than human radiologists, ensuring early detection & intervention. • 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗚𝗮𝗶𝗻𝘀: Pathologists can perform assessments faster and cheaper, saving valuable resources. • 𝗚𝗹𝗼𝗯𝗮𝗹 𝗥𝗲𝗮𝗰𝗵: By collaborating with international partners, AI tools are being made available worldwide, ensuring inclusivity across diverse demographics. As we mark Breast Cancer Awareness Month, it's crucial to support the innovative technologies transforming healthcare. AI in diagnostics is already advancing early breast cancer detection and treatment, and it's only going to improve, ultimately helping to save more lives. #BreastCancerAwareness #AI #Healthcare #EarlyDetection #InnovationInMedicine

AI Copilot Revolutionizing Cancer Care: A Game-Changer for Healthcare 🚀 Transforming Cancer Treatment with AI: 🔍 Enhanced Diagnosis: Color's AI Copilot, in partnership with OpenAI, brings top-tier oncologist expertise directly to doctors, nurses, and primary care physicians, enabling evidence-based decisions for cancer screening and treatment. 💡 Early Detection: Automates risk analysis and personalized screening plans, helping catch cancers earlier when survival rates exceed 90%. ⏱️ Speeding Up Treatment: Minimizes delays by equipping primary care doctors with the necessary pre-treatment workup, reducing the time between diagnosis and treatment initiation. 🌍 Healthcare Impact: This technology bridges gaps in cancer care, ensuring more immediate, high-quality reasoning and support, crucial for improving patient outcomes. What are your thoughts on this? #HealthcareInnovation #AI #Data #AIinHealthcare #CancerTreatment #DigitalHealth #HealthTech

#2024MOGA 🇦🇺🚨 This morning, we had a panoramic view of how AI is changing oncology practice, including its advantages and disadvantages. In one sentence, improved efficiency. The adoption of AI is happening globally at an unstoppable pace, decreasing the complexity and time consumed in data-driven decision-making processes or even simple tasks such as generating a summary note. Amazing talks and speakers: 1️⃣ Integrating Medical Images and Multi-modal Data Using AI for Cancer Applications - A/Prof Alexander Pearson 2️⃣Intelligence: The Next Generation of Precision in Oncology - Dr Frank Lin 3️⃣ Applications of Large Language Models to Cancer Health Information - A/Prof Ashley Hopkins We value the input of the Medical Oncology community and will continue to support them in the development of AI tools that can be implemented in practice. Massive Bio Bio Clinical Network offers powerful and flexible search capabilities tailored to your workflow: ✅ Utilise Dr. Arturo AI, your physician co-pilot, to interactively find the right trials and inquire about study protocols through text or speech. ✅ Upload your de-identified patient’s medical records to receive an AI-generated clinical summary note and matching trial results. ✅ Search all trials based on clinical parameters describing your patient’s condition and track their progress seamlessly. Join me for an enriching experience full of networking opportunities and collaboration as we prepare to launch the Massive Bio Clinical Network. Please send a DM if you want a one-on-one training session demonstrating how Clinical Network can reduce screening time and optimise resources and efforts to minimise screening rate failure. #Oncology #OncologyTrials #PrecisionOncology #TrialMatching #RightPatient #RightTime #GlobalTrials #GlobalExperts #AIyourway #ScientificMeeting #CancerCare #Innovation

Revolutionizing Breast Cancer Detection: AI Predicts Risk 5 Years in Advance In a groundbreaking development, a 3-year-old AI model has gone viral after accurately predicting breast cancer risk up to 5 years in advance. This trend is reshaping healthcare practices in 2024, as AI-powered early detection enables more proactive and personalized cancer prevention strategies. The challenge lies in ensuring that these AI models are developed and deployed ethically, with robust safeguards against algorithmic bias and data privacy concerns. By incorporating green AI principles, healthcare organizations can leverage the power of AI while minimizing the environmental impact. A practical tip for healthcare providers is to start by automating routine screening processes, freeing up clinicians to focus on high-risk patients and personalized care plans. AI-powered automation can also enhance this trend by integrating seamlessly with electronic health records, providing real-time insights to support clinical decision-making. To stay ahead of the curve, how are you planning to leverage AI in your healthcare practice this year to improve patient outcomes and deliver more sustainable, equitable care? #AI #2024AITrends #HealthcareTech #EthicalAI #GreenAI ☕ Buy me a coffee: https://lnkd.in/eRuDv8BV 💳 IndiePage: https://juliopessan.app/ 🤖 UKode Labs: https://ukodelabs.com/ 📝 Docspark: https://docspark.io/

#FoxNews Today: How #AI + Human Expertise Detected Breast Cancer Missed by Routine Screening A remarkable case from West Sussex demonstrates how artificial intelligence (AI) is transforming healthcare. Sheila Tooth, a 68-year-old woman, had her breast cancer missed by routine screening and even cleared by two radiologists. Yet, an AI system, Mammography Intelligent Assessment (MIA), detected early-stage cancer invisible to the human eye. This second opinion by AI allowed her to undergo a lumpectomy without additional treatment, giving her a new lease on life. Sheila said it best: “It’s extraordinary… I just feel so lucky.” AI is not here to replace doctors but to empower them. As Harvey Castro, MD, MBA. Castro shares, “The synergy between AI and human expertise can lead to earlier, more accurate diagnoses, offering patients a fighting chance.” This life-saving story aligns with the theme of my recent #TEDx talk, “AI and Us: Revolutionizing Medicine Together,” where I explore how human + AI collaboration can redefine healthcare. Watch the talk to learn how this powerful combination is shaping the future of medicine. While this case highlights the life-saving potential of AI, it also underscores the importance of broader adoption in healthcare systems. Challenges like cost barriers must be addressed to make AI accessible for all patients. Sheila’s story is proof of what’s possible when we embrace innovation. Together, AI and healthcare professionals can revolutionize early detection and redefine outcomes for millions. Let’s push for greater integration of AI in healthcare. Whether you’re a policymaker, provider, or patient, now is the time to champion this technology and unlock its full potential. #AIinHealthcare #BreastCancerAwareness #HumanPlusAI #TEDx #FoxNews #EarlyDetection #HealthTech #MedicalBreakthrough #PatientCare #CancerScreening #HealthcareInnovation

Innovation in technology has always benefited the #healthcare industry, and #AI is no exception.    In our latest blog we explore just how #AI and #deeplearning are helping to advance the field of #oncology including; precision medicine, treatment strategies and patient outcomes. 

In a significant development within healthcare, AI technology has demonstrated its potential beyond generative applications, offering life-saving capabilities. The NHS has recently implemented an AI test capable of identifying small cancers that could be overlooked by human doctors. This advancement highlights the critical role of AI in enhancing diagnostic accuracy and improving patient outcomes through early detection of cancer. It exemplifies the broader implications of AI in HealthTech, where its application can lead to significant improvements in treatment and diagnosis processes. Read the full story here: NHS AI test spots tiny cancers missed by doctors. NHS AI test spots tiny cancers missed by doctors https://lnkd.in/eJJYxTkC #AI #HealthcareInnovation #CancerDetection #NHS #HealthTech