Armando Javier Colón Aponte MSCJ, CBMA, COC, CASCC, CPPM,CFWAP, CWHBP, PCAP™’s Post

AI Advancement in Urology Medical Care. The impact of #AI in detecting prostate cancer is significant and continues to evolve. AI technologies, such as machine learning algorithms, have shown promise in analyzing medical imaging data (such as MRI or ultrasound images) to assist radiologists and clinicians in identifying potential signs of prostate cancer at an early stage. #AugmentedIntelligence refers to the collaboration between human healthcare professionals and advanced technology like #AI. In the context of medicine, Augmented Intelligence can enhance decision-making processes by providing insights from vast amounts of patient data that may not be readily apparent through traditional methods alone. Harvey Castro, MD, MBA. discussion likely emphasizes how these advancements can lead to more accurate diagnoses, personalized treatment plans, improved patient outcomes, and overall efficiency within healthcare systems. Additionally, he might explore the ethical considerations surrounding the use of AI in medicine while highlighting its potential for transforming various aspects of clinical practice. https://lnkd.in/eqzxytCN

mlangles's Predictive AI unlocks the highest degree of accuracy in detecting and classifying brain tumors!    mlangles identifies and classifies brain tumors achieving 99% accuracy, resulting in more precise and prompt treatment. Connect with us to learn more about how mlangles elevates the Predictive AI game for brain tumor classification and advances healthcare! Visit our website @ mlangles.ai #mlangles #AI #innovation #healthcare #braintumor #cancerawareness

Accurate brain tumor diagnosis with new AI diagnostic tool. #MedicalTechnology 🤝 Follow us on Discord 🔜: https://lnkd.in/gt823Zd3 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: The DISCERN tool, developed by VHIO and Bellvitge University Hospital, uses deep learning to accurately diagnose brain tumors from MRI scans. It outperforms conventional methods, with 78% accuracy in classifying tumors. The tool automates diagnostic classification and aids in treatment decisions. It was developed through collaboration with various institutions and is available as an open-access application for clinical use. This study demonstrates the feasibility and accuracy of DISCERN in differentiating between various brain malignancies. Hashtags: #chatGPT #AIbrainTumorDiagnosis #NonInvasiveTumorDetection

ANU researchers create AI tool for precise brain tumor classification #medicalAI 🤝 Download 1 Million Logo Prompt Generator 🔜 https://wapia.in/1mlogo 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Researchers at The Australian National University have developed a new AI tool called DEPLOY to classify brain tumors more quickly and accurately. DEPLOY predicts DNA methylation and categorizes tumors into 10 subtypes using histopathology images. The tool achieved a 95% accuracy rate and outperformed pathologists in diagnosing difficult cases. DEPLOY could potentially be used to classify other types of cancer as well. The research has been published in Nature Medicine, highlighting the tool's potential impact on patient treatment and diagnosis. Hashtags: #chatGPT #AIbrainTumorClassification #ANUresearchersAI

A Milestone in Oncology: New AI Diagnostic System Identifies 13 Cancers with 98% Accuracy Researchers have unveiled a new AI system that can detect 13 cancers from tissue samples with 98% accuracy. According to a news report by The Indian Express, Researchers from the University of Cambridge achieved the ground-breaking feat by developing binary and multiclass machine learning models. These models were then used to identify several types of cancers from non-cancerous tissue samples. Read more: https://lnkd.in/gzdGu5BC #HealthcareNews #healthcareinnovation #HealthcareTechnology #Ai #medicalTechnology #5CNetwork #KalyanKalyan Sivasailam #nextdigitalhealth #vineetagrawal #Wi4

✨ Exciting News! ✨ I'm thrilled to share that one of our research articles titled "TransResUNet: Revolutionizing Glioma Brain Tumor Segmentation through Transformer-Enhanced Residual UNet" has been accepted for publication in IEEE Access, with an Impact Factor of 3.4. This work dives into the potential of Transformer-based architectures combined with Residual UNet for more accurate and efficient segmentation of glioma brain tumors, pushing the boundaries of AI in healthcare and contributing to the advancement of medical imaging. #AI #Healthcare #Research #IEEEAccess #BrainTumorSegmentation #MedicalImaging #Transformers #UNet #DeepLearning #AIinHealthcare #GliomaResearch

How Doctors Could Soon Use AI to Detect Brain Cancer : #aiinhealthcareresearch - Recent advancements in artificial intelligence (AI) have significantly enhanced the detection of brain tumors, offering accuracy levels comparable to human radiologists. A notable study published in Biology Methods and Protocols by Oxford University Press demonstrates that AI models can effectively distinguish between cancerous and healthy brain tissue in MRI scans. Using innovative techniques like transfer learning from camouflage detection, these AI systems can identify cancerous tissues with high precision while offering explainable insights to foster trust among medical professionals. MEDPULSE AI Read More ▶️ https://buff.ly/3B20PUI 💡 #aibraincancer #aicancerdetection #MedPulseAI #AIinHealthcare #AIinMedicine

📰 News: 📰 --- 🚀 AI vs. Radiologists: The Prostate Cancer Showdown 🔍 Ever imagined a world where artificial intelligence steps up to the diagnostic plate and hits home runs just like radiologists? Buckle up because that's exactly what's happening! A recent study, highlighted by Radiology Business, shows an AI model matching experienced radiologists at detecting clinically significant prostate cancer using MRI scans. This breakthrough could be a game-changer in the world of medical diagnostics. Here are some jaw-dropping figures: - The study reviewed --5,735 MRI exams--, finding --1,514 cases-- of clinically significant prostate cancer. - Using just --400 test exams-- and an additional --200 external datasets--, the AI matched the performance of seasoned abdominal radiologists. - The Mayo Clinic is doubling its dataset to further fine-tune this AI model, aiming for even greater accuracy in future trials. The goal is to use AI as a powerful assistant, not a standalone diagnostic tool, enhancing radiologists' efforts and boosting detection rates—while keeping those pesky false positives at bay. 👩⚕️👨⚕️ Curious about how this tech could transform medical diagnostics? Share your thoughts and let’s start a conversation! Follow Bernier Group for more jaw-dropping innovations. 🔗 -Read the full article--https://lnkd.in/eRamaaUu -AI -Radiology -ProstateCancer -HealthcareInnovation -DigitalTransformation #AIDriven #Digital #AI #Data #SMB #SME #Strategy #Innovation #Business #ArtificialIntelligence #AnniQ https://lnkd.in/eyKDk_c4

ARM:The technologies like the augmented reality microscope having the potential to increase both diagnostic accuracy and efficiency of cancer detection. Pathologists assisted by AI and  machine learning (ML) have been found to have higher accuracy, sensitivity, and speed of diagnosis, than those unassisted in identifying micrometastases on digitized slides of lymph node biopsies. #AI  #digitalpathology#pathology #virtualreality 

Exciting advancements from Phedias Diamandis at University Health Network ! His work combines AI and neuropathology to revolutionize glioblastoma research and patient care. Tools like HAVOC and PHARAOH personalize medicine using AI innovations. #AIHealthcare #Neuropathology #Innovation #medtech #patientcare #diagnostics #pathology #cancer