Developments in diagnosis and treatment of early hypopharyngeal carcinoma and precancerous lesions: A review.
Early hypopharyngeal carcinoma: AI and ME-NBI enhance detection; minimally invasive surgery improves outcomes. ππ
November 9, 2025
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Discover the newest research about AI innovations in π Oncology.
Modeling Pain Dynamics and Opioid Response in Oncology Inpatients: A Retrospective Study with Application to AI-Guided Analgesic Strategies in Colorectal Cancer.
AI models predict pain relief in colorectal cancer patients: 73.8% improved, AUC 0.9167. Key insights from PubMed study. ππ
October 30, 2025
AI Model Suggests 40% of Breast Cancer Patients May Skip Axillary Surgery
AI model suggests 40% of breast cancer patients may avoid axillary surgery. This could reduce unnecessary procedures. π€π
October 19, 2025
Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification.
Automated CT analysis reveals Sarcopenia Index as a key prognostic factor for overall survival in cancer patients. ππͺ
October 16, 2025
AI Tool Accurately Differentiates Glioblastoma from Similar Brain Tumors During Surgery
AI tool PICTURE accurately differentiates glioblastoma from similar brain tumors during surgery, aiding timely treatment decisions. π§ π
October 13, 2025
The Role of Immune Checkpoint Inhibitors in Cancer Therapy: Mechanism and Therapeutic Advances.
Immune checkpoint inhibitors revolutionize cancer therapy, yet challenges like efficacy variability and adverse events persist. ππ
October 9, 2025
Development of Machine Learning Systems to Predict Cancer-Related Symptoms With Validation Across a Health Care System.
Machine learning predicts cancer symptoms effectively, with AUROCs from 0.66 to 0.73 across 82 centers. ππ€
September 26, 2025
Detection and score grading for prostate adenocarcinoma using semantic segmentation.
Prostate cancer detection improved: 92% accuracy using deep learning on 100 biopsy images. ππ¬
September 20, 2025
A comprehensive review of techniques, algorithms, advancements, challenges, and clinical applications of multi-modal medical image fusion for improved diagnosis.
Exploring multi-modal medical image fusion: Enhancing diagnostic accuracy through advanced algorithms and clinical applications. π©Ίπ
September 15, 2025
The Impact of Artificial Intelligence on Lung Cancer Diagnosis and Personalized Treatment.
AI Revolutionizes Lung Cancer Diagnosis & Treatment: Promising Early Detection & Personalized Care Insights! π«π€
September 15, 2025