Verana Health’s Post

Our latest paper: Histopathology in focus: a review on explainable multi-modal approaches for breast cancer diagnosis

🚀 New Article Published: "A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination" 🚀 Our team developed a multi-modal machine learning approach to classify solitary pulmonary nodules (SPNs) linked to non-small cell lung cancer (NSCLC).  📄 Check the full article https://lnkd.in/dZiVFH5Q #MedicalAI #NSCLC #MachineLearning #VGG19 #XGBoost #HealthcareInnovation #ResearchAndDevelopment

🚀🩺 Big news from the NHS! An AI-powered diagnostic system is now aiding in the early detection of breast cancer, marking a significant advancement in healthcare. This leap forward is improving both diagnostic precision and patient care. Dive into the full story here: https://lnkd.in/eQqvYGSB #NHS #BreastCancerDetection #AIInHealthcare #ArtificialIntelligence #AI

GPT-4 for Information Retrieval and Comparison of Medical Oncology Guidelines - Authors evaluated the use of the large language model generative pretrained transformer 4 (GPT-4) to interpret guidelines from the American Society of Clinical Oncology and the European Society for Medical Oncology. The ability of GPT-4 to answer clinically relevant questions regarding the management of patients with pancreatic cancer, metastatic colorectal cancer, and hepatocellular carcinoma was assessed. - GPT-4, when enhanced with additional clinical information through RAG, can accurately identify detailed similarities and disparities in diagnostic and treatment proposals across different authoritative sources

CancerLLM is a model with 7 billion parameters and a Mistral-style architecture, pre-trained on 2,676,642 clinical notes and 515,524 pathology reports covering 17 cancer types, followed by fine-tuning on three cancer-relevant tasks, including cancer phenotypes extraction, and cancer diagnosis generation.

📃 Deep learning for early diagnosis of oral cancer via smartphone and DSLR image analysis: a systematic review. AI tools are revolutionizing oral cancer diagnosis. 📱🦷 A systematic review highlights their accuracy and potential in healthcare. https://lnkd.in/du87Np8Q

Multiview deep learning networks based on automated breast volume scanner images for identifying breast cancer in BI-RADS 4 Frontiers https://lnkd.in/gmbdCjeq

#ClinicalPractice #BiomedicalResearch #AI Comparative Evaluation of LLMs in Clinical Oncology NEJM AI Published April 16, 2024 DOI: 10.1056/AIoa2300151 💠 Of the models tested on a standardized set of #oncology questions, #GPT4 was observed to have the highest performance. 💠Although this performance is impressive, all #LLMs continue to have clinically significant #error rates, including examples of #overconfidence and consistent #inaccuracies. 💠Given the enthusiasm to integrate these new implementations of #AI into #clinicalpractice, continued #standardized #evaluations of the strengths and limitations of these products will be critical to guide both patients and medical professionals."

🩺Check out this #highlycited #article by Xia Jiang and Chuhan Xu. Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data 🔎More details: https://brnw.ch/21wNenT #clinical #medicine #openaccess #deeplearning #breastcancer #metastasis

This excerpt sums up the sentiment of this article to me: 'Imagine a world where artificial intelligence lightens the burden for cancer patients and eases the hearts of their loved ones! This is why we strive for technology to be more patient-focused.' #mammography #gehealthcare #patientfocusedcare #AI