Next Digital Health (A Wi4 Initiative)’s Post

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

🌟 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 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

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

📢 #HighlyCitedPapers 1. Antioxidant and Antibacterial Activity of Extracts from Selected Plant Material    https://lnkd.in/dcjCapfw 2. A Linear Discriminant Analysis and Classification Model for Breast Cancer Diagnosis    https://lnkd.in/dZGZdrEA 3. Iterative Annotation of Biomedical NER Corpora with Deep Neural Networks and Knowledge Bases    https://lnkd.in/dxhnbMwV 4. Shape-Based Breast Lesion Classification Using Digital Tomosynthesis Images: The Role of Explainable Artificial Intelligence    https://lnkd.in/dQ9N7rME MDPI Encyclopedia MDPI

It is quite important not only to develop and implement AI tech into clinical processes. It’s crucial to measure actual effects. Our solution “Clinical decision support system for pathologist in colorectal cancer” based on AI/computer vision showed 25% increase in speed of work of pathologists and increased their sensitivity in finding metastasis in lymph nodes - one of the necessary routine procedures to diagnose stage of cancer. The next step is to measure economic effect based on these findings. That’s what I presented at Russian Diagnostic Summit 2024. We welcome AI researchers and pathologists who are keen to research economic effects of AI in pathology. Join us in crafting the future of AI in healthcare. #digitalpathology #cancer #histology #pathology #ai #rds #russiandiagnosticsummit

New publication We designed and evaluated an AI model using convolutional neural networks (CNNs) to automatically analyze computed tomography urography images for identifying urinary bladder cancer in patients experiencing macroscopic hematuria. Our model demonstrated encouraging outcomes, exhibiting a high detection rate and significant negative predictive value. Continued advancements in this area could potentially reduce the necessity for invasive procedures, enabling more efficient prioritization of patients with significant tumors for expedited examination. https://lnkd.in/esBtaMcT

Check out this timely article from Health Imaging summarizing a recent study on multi-parametric MRI for prostate cancer screening. The study suggests that machine learning techniques can decrease costs and increase access to high-quality memory and fusion biopsy outside the academic and subspecialty clinical setting. This could ultimately improve care equity. The full article can be found here: https://lnkd.in/ebYgSUiw. #aiinhealthcare #medicine #innovation

Improving breast cancer prognosis with AI: SimTech scientists have trained an AI with genetic and clinical data and developed a model that is able to predict a favorable or unfavorable prognosis using deep learning algorithms. Read more in the SimTech Magazine: https://shorturl.at/ctuBZ

As a Pathologist with a Master’s in AI, I am excited by the potential of AI models like CancerLLM that are advancing cancer diagnosis and phenotyping. This is why I strongly support the integration of AI in healthcare. I urge prominent healthcare institutes like TATA MEMORIAL HOSPITAL, Kasturba Medical College Manipal, MAHATMA GANDHI UNIVERSITY OF MEDICAL SCIENCES AND TECHNOLOGY, JAIPUR etc along with senior government officials such as Health Secretaries, Directors of Medical Education, National Health Mission, Ministry of Health & Family Welfare, Govt of Rajasthan, National Health Authority (NHA), and Heads of AI Initiatives to take part in AI-driven research. Their leadership and these vast digital repositories can play a key role in driving innovations that benefit patients across the country and beyond. 💡 Let’s collaborate to push the boundaries of AI in healthcare! #AI #Healthcare #CancerResearch #Pathology #ArtificialIntelligence #MedicalInnovation #CancerLLM #FutureOfMedicine #DigitalHealth