​​​R​​​ob​ert S.’s Post

October is Breast Cancer Awareness Month – Let's Talk About the Future of Breast Cancer Care. With the growing role of AI in breast cancer detection and treatment, we're entering a new era of care where early detection and personalized treatment are more achievable than ever before. AI for Early Detection: AI-enhanced tools can analyze mammograms with unprecedented precision, helping detect cancer earlier, when it’s most treatable. Personalized Treatment: AI-powered systems analyze genomic data to design individualized treatment plans, targeting cancer at its core. Monitoring & Prognosis: AI models can predict outcomes and track responses to treatment, allowing for real-time adjustments that enhance effectiveness. As we continue to spread awareness about breast cancer, let’s also champion the cutting-edge technologies that are saving lives. We can empower patients and improve outcomes. 💪💗 #BreastCancerAwarenessMonth #AI #BreastCancer #HealthcareInnovation #CancerTreatment #EarlyDetection #PrecisionMedicine

Hi LinkedIn community! I'm coming to you with the big news, so grab your cup of tea or coffee and get ready! ☕ What's so great about it, you might ask? Because it's about the use of AI in healthcare, and it's also about women's breast cancer.   An AI tool called Mia has successfully identified tiny signs of breast cancer in 11 women that were missed by human doctors during mammograms. Mia was piloted alongside NHS clinicians and analysed the mammograms of more than 10,000 women. Early detection of breast cancer is crucial for successful treatment, as cancerous tumours smaller than 15mm have a 90% survival rate over the next five years. ❗   Barbara was one of 11 patients whose cancer was flagged by Mia, but had not been detected on her scan when it was reviewed by the hospital's radiologists. Without the help of the AI tool, Barbara's cancer may not have been detected until her next routine mammogram three years later.   This is how AI is revolutionising cancer care - not by replacing doctors, but by augmenting their capabilities. 🤝 #ArtificialIntelligence #RevolutionizingCancerCare #MedicalBreakthroughs https://lnkd.in/d_jVZkUp

In a recent healthcare breakthrough, AI was able to spot breast cancer four years before it developed. Researchers at MIT have developed a system that utilizes artificial intelligence to predict the likelihood of someone developing breast cancer. That's quite amazing, in my opinion. Radiologists' workload can be cut by almost 30% thanks to this AI technology. Not only that, but it can also reduce cancer detection rates by 13 percent! What's shocking is that the AI was put to the test on some of the most difficult cancer cases, where radiologists had missed the early breast cancer symptoms. And guess what? It was able to effectively diagnose the illness in those cases. Say what you want about AI, but you can't deny its potential benefits in healthcare. I would love to know your thoughts on this. Dana Brown Feyi Ayodele Navid Alipour Thomas Duke David Lindsay, MD, PhD #AI #cancer #cancerdetection #oncology #breastcancer #healthtech

October is #breastcancer Awareness Month! 🎗 Did you know that breast cancer is the most common #cancer among women worldwide? Globally we see: - Over 2.3 million women are diagnosed globally. - Breast cancer accounts for nearly 15% of all cancer deaths among women. - Early detection and personalized treatment can improve survival rates. At WSK Medical, we are committed to empowering pathologists with the latest in biomarker quantification technology utilizing Artificial Intelligence. Our advanced #AI digital pathology solutions provide: ✅ Faster analysis to support early detection and timely treatment. ✅ More accurate biomarker quantification to assist in personalized treatment plans. ✅ Integrated in the existing digial pathology workflow for optimal use. By combining technology and medical expertise, we aim to improve patient outcomes and streamline the diagnostic process, offering a vital tool in the fight against breast cancer. #breastcancerawareness #earlydetectionsaveslives #digitalpathology #breastcancerresearch #pathologyinnovation #biomarkerquantification

👉🏼 Utilizing large language models in breast cancer management: systematic review 🤓 Vera Sorin 👇🏻 https://lnkd.in/ePcCj-CG 🔍 Focus on data insights: - Large language models (LLMs) like ChatGPT show promise in breast cancer care. - Studies indicate varying accuracy levels, with higher accuracy in structured tasks. - Real patient data usage in some studies enhances clinical relevance. 💡 Main outcomes and implications: - LLMs offer potential in textual information extraction and guideline-driven clinical question-answering. - Inconsistent accuracy highlights the importance of model validation and ongoing supervision. 📚 Field significance: - Integration of LLMs can enhance efficiency in interpreting vast clinical data for personalized patient insights. - Validation and supervision are crucial for maximizing the benefits of LLMs in breast cancer management. 🗄️: #breastcancer #largeLanguageModels #ChatGPT #clinicalDataInsights

Another week, another breakthrough in transformative cancer care thanks to the power of #AIforGood. Say hello to Virchow2 and Virchow2G – the latest in advanced AI models revolutionising cancer diagnosis, from Paige and Microsoft. Trained on over three million pathology slides from diverse patients worldwide, these models cover more than 40 tissue types and various staining methods. Read more @ AI News ⇢ https://lnkd.in/eduWrsVT #SaveLivesWithAI #CancerResearch #AIinHealthcare #PrecisionMedicine #DigitalPathology #OncologyInnovation #HealthcareAI #MedicalAI #MicrosoftAI #CancerDiagnosis Muhammad Zulhusni TechForge Media Hugging Face [Image credit: National Cancer Institute (NCI)]

We’re excited to share our revolutionary AI-based pipeline for early lung cancer screening developed by the Amity team, now published in prestigious Lancet South East Asia. This technology could transform lung cancer diagnosis and treatment, especially in resource-limited settings. Our research analyzed data from over 2,200 lung cancer patients and developed an AI model, AIPS-N, for automated detection and characterization of lung nodules from CT scans. This was combined with clinical data in a second model, AIPS-M, to predict EGFR mutations with high accuracy. This could lead to early detection, improved survival rates, reduced healthcare costs, and more equitable access to quality lung cancer care. 📚 Read the full study here: https://lnkd.in/eqWmD9eb #lungcancer #ai #aiforhealthcare #aiforhealth #precisionmedicine #personalizedmedicine #medicalinnovation #healthcaretechnology #earlydetection #cancerresearch #cancerdiagnosis #healthcareequity #globalhealth #medtech #breakthrough #innovation #cancercare  

An AI tool called Mia is revolutionizing cancer detection by uncovering signs missed by radiologists. Mia demonstrated its potential to enhance early diagnosis and improve patient outcomes in a recent UK trial by identifying 11 additional breast cancer cases that doctors had missed. Trained on a vast dataset, Mia achieved impressive accuracy rates, offering personalized care insights and streamlining treatment processes. This breakthrough not only accelerates diagnosis but also promises to transform cancer care, underscoring the power of AI in revolutionizing healthcare. #AIinHealthcare #CancerDetection #MedicalInnovation

The future of cancer care is here! 🌟 AI and digital technologies are transforming how we screen, diagnose, and treat cancer. Geisinger Health System’s AI-driven colorectal cancer screening and Texas Oncology’s precision medicine programmes are leading the way, offering life-saving care to more patients. Learn how AI bridges gaps in screening, improves clinical trial recruitment, and brings cutting-edge care to underserved areas. Together, we can create a brighter future for cancer care. Read more: https://iii.hm/1sak #AIinHealthcare #CancerCare #PrecisionMedicine #DigitalHealth #HealthcareInnovation #ClinicalTrials #Oncology

🔬 Curious about how AI is transforming breast cancer diagnosis? AI continues to revolutionize breast cancer diagnosis with Mia, an innovative tool developed by the UK’s National Health Service. Mia boasts a remarkable 12% improvement in cancer diagnosis rates, assisting clinicians by identifying subtle signs of breast cancer. In a recent study, Mia analyzed over 10,000 mammograms, detecting breast cancer symptoms that human doctors overlooked, including 11 cases. Trained on millions of mammograms worldwide, Mia operates swiftly, slashing result waiting times from 14 days to just 3. What are your thoughts about these advancements in AI-powered healthcare? #AI #BreastCancerDiagnosis #HealthcareInnovation #HealthTech #StayInformed" 🌟👩⚕️👨💻