AI Diagnoses Brain Tumors in Twelve Minutes
A new computational pathology model exposes the limits of human sight in oncology, diagnosing complex brain tumors in minutes rather than weeks.
June 11, 2026
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Discover the newest research about AI innovations in π§ͺ Pathology.
EMA Accepts AI Clinical Trial Evidence
Regulators just crossed a digital rubicon by accepting AI-generated pathology data to evaluate metabolic liver disease treatments.
June 10, 2026
AI Models Excel in Summarizing Complex Cancer Pathology Reports
AI models outperform physicians in summarizing complex cancer pathology reports, according to a recent study. ππ©Ί
May 10, 2026
Philips Enhances Digital Pathology with Cloud-Enabled IntelliSite Solution
Philips expands digital pathology with cloud-enabled IntelliSite, enhancing diagnostics and productivity in healthcare organizations. π₯π»
April 25, 2026
Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol.
Deep learning in radiation oncology: promising AI for pelvic malignancies. ππ€ Systematic review protocol registered on PROSPERO. π
April 24, 2026
Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses.
Revolutionary AI framework boosts biomedical data analysis success to 77%! π€π Explore BioMedAgent’s capabilities!
April 8, 2026
High diagnostic accuracy of a resnet50-based deep learning model for osteochondral lesions of the talus on magnetic resonance imaging.
ResNet50 model achieves 94.1% accuracy for detecting talus lesions on MRI. T1 sequences outperform T2. ππ¦΄
March 30, 2026
Classification of Osteoporosis and Detection of Compression Fractures by Implementing Real-Time Object Detection System Upon Medical Radiographs.
AI in Osteoporosis Detection: YOLOv4 achieves 78.1% accuracy for osteoporosis classification and 68.3% for fractures. ππ¦΄
March 21, 2026
Patients Can Enroll in Cancer Trials Through NHS App
NHS App now allows patients to enroll in cancer trials. This aims to improve treatment access and outcomes. π±ποΈ
February 4, 2026
[A new paradigm for precision diagnosis and treatment of colorectal cancer in the era of artificial intelligence–From foundation models to multi-agent collaboration].
AI transforms colorectal cancer diagnosis and treatment through multi-agent collaboration, addressing data silos and enhancing precision. π€π
February 1, 2026