Preeti Cholleti’s Post

AI Tool Quickly Classifies Tumors with Precision #MedicalTechnology 🤝 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 an AI tool called DEPLOY to classify brain tumors more accurately and quickly, with an unprecedented 95% accuracy rate. The tool uses histopathology images to predict DNA methylation and categorize tumors into ten subtypes. DEPLOY has the potential to complement pathologists' diagnoses and may be used for other types of cancer in the future. The research was published in Nature Medicine and could revolutionize tumor classification and patient care. Hashtags: #chatGPT #AIclassification #tumoranalysis

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

Researchers at Harvard Medical School have developed CHIEF, a highly versatile AI model that excels in diagnosing and predicting outcomes for multiple cancer types. Trained on millions of images, CHIEF can detect cancer cells, forecast tumour genetic profiles, and accurately predict patient survival, outperforming current AI systems.  It aligns with the growing trend of AI-powered approaches to enhance clinicians' ability to make faster, more accurate diagnoses and predictions, particularly in oncology. Read the complete story here: https://lnkd.in/d6xNEezj nasscom Ministry of Electronics and Information Technology Digital India Programme INDIAai #cancer #harvard #healthcare #aiforall

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

A new study just figured out a new potential target for Glioblastoma treatment, providing a new hope for treating one of the most aggressive brain tumor. To be specific, scientists found that Glioblastomas can co-opt the formation of new synapses to fuel its own growth, and, interesting It's said that protein TSP-1 playing crucial role in hijacking this process. For detailed information, please read here: https://lnkd.in/gMdm4fM3

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

🌟 Join Aiforia Technologies's upcoming webinar to discover how AI is revolutionizing the work of oncologists and pathologists in the #gastrointestinal field. The expert speakers will introduce an AI model that identifies key histological features of #colorectalcancer (CRC) and provides recurrence prediction estimates to aid in treatment decisions. Given the significant morphologic heterogeneity in CRC, accurate predictions can guide prognosis, uncover molecular alterations, and determine therapy responses. Learn about QuantCRC, a deep learning segmentation algorithm, that uses quantitative data from digitized H&E-stained slides on the Aiforia® Platform to improve tumor recurrence predictions. This AI model identifies clinically relevant prognostic risk groups, enhancing routine pathologic reporting of CRC. ➡️ Learn more + register here: https://buff.ly/4bLwndY Expert speakers: Thomas Westerling-Bui Rish Pai #Oncology #ColonCancer #Biomarkers #DigitalHealth #Pathology #MedicalImaging #ClinicalData #TherapeuticAreas #LaboratoryTechnology #DigitalPathology #

AI tool classifying brain tumours accurately and efficiently. #HealthcareTech 🤝 Download 1 Million Logo Prompt Generator 🔜 https://wapia.in/1mlogo 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Researchers at ANU have developed an AI tool called DEPLOY that can quickly and accurately classify brain tumors using DNA methylation-based profiling. The tool was able to achieve an accuracy of 95% and provide more clinically relevant diagnoses than pathologists in some cases. DEPLOY could potentially be used to classify other types of cancer as well. The research has been published in Nature Medicine. Hashtags: #chatGPT #BrainTumourClassification #AIToolBrainTumours

🧬💻 Welcome to this month's Mindshare! Scientists have developed an AI tool that outperforms pathologists in identifying the origins of metastatic cancer cells circulating in the body. This breakthrough could revolutionize late-stage cancer diagnosis and treatment, potentially extending patient lives. 📚🔬 In a study published in Nature Medicine, researchers trained an AI model on 30,000 images of cells from 21,000 individuals with known primary tumors. Testing it on 27,000 images, the AI achieved an impressive 83% accuracy rate in predicting the source of the tumor, with a 99% chance of including the correct origin within its top three predictions. Notably, the AI model surpassed human pathologists when tested on 500 images, demonstrating statistically significant improvement. 🔍💡 Moreover, the study found promising implications for patient outcomes. Retrospective analysis of 391 participants revealed that those whose treatment aligned with the AI's predictions had higher survival rates and longer lifespans. This suggests that integrating AI into clinical practice could lead to more personalized and effective treatments for metastatic cancers of unknown origins. 🌟🏥 This groundbreaking AI tool not only enhances diagnostic accuracy but also has the potential to streamline patient care by reducing the need for invasive tests. It showcases the power of artificial intelligence in healthcare, offering hope for improved outcomes in battling elusive cancers. 📰🔍 Curious to explore further? For more information, check this article by Tian et al.: https://lnkd.in/eFTr9UJJ #SwipeToDiscover #MonthlyMindshare #AIInHealthcare #MachineLearning #MOSAConference

We're making strides in our research!   1. Our study, "AI-Powered Thyroid Fine Needle Aspiration Cytology" was published in Thyroid, the official journal of the American Thyroid Association (ATA)! 📄   The study found that using AI for thyroid FNAC, a test to determine the malignancy of thyroid nodules, improved performance by more than 5%. It also improved diagnostic agreement between primary examiners (cytotechnologists) and pathologists from 0.64 to 0.84.   2. We won the Best Poster Award at the Korean Cancer Association (KCA 2024) for our work on enhancing the accuracy and efficiency of renal cell carcinoma diagnosis. 🏆   This poster explores the classification of renal cell carcinoma (RCC) using multiple instance learning (MIL). It involved training on over 7,000 whole slide images (WSIs) to enhance diagnostic accuracy and efficiency.   Stay tuned for more meaningful research from DEEPNOID! Thyroid Journal paper link in 👉 http://bit.ly/4eL5d9y KCA 2024 article link in 👉 http://bit.ly/3xpZUvs #DEEPNOID #MedicalAI #ATA #Thyroid #ThyroidCancer #FNAC #KCA #RCC