Latest updates for Radiomics

Fresh curated links around radiomics are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • AI Reads Routine Mammograms to Predict Breast Cancer HER2 Status Without Biopsy
  • Integrating Lymph Node Metastasis and Programmed Death-Ligand 1 Prediction in Non–Small Cell Lung Cancer From a Single P
  • A Multi-Model, Pixel-Native Framework for Automated Computed Tomography Series Labeling and Characterization: Proof-of-C

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bioengineer.org /1 week ago

AI Reads Routine Mammograms to Predict Breast Cancer HER2 Status Without Biopsy

A dual-center study shows that a deep learning radiomics model applied to routine mammograms can noninvasively predict HER2-positive and HER2-low breast cancer status, offering a p...

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medinform.jmir.org /1 month ago

Integrating Lymph Node Metastasis and Programmed Death-Ligand 1 Prediction in Non–Small Cell Lung Cancer From a Single P...

Background: Preoperative stratification for non–small cell lung cancer (NSCLC) necessitates separate evaluations of lymph node metastasis (LNM) to guide surgical decisions and of p...

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medinform.jmir.org /3 weeks ago

A Multi-Model, Pixel-Native Framework for Automated Computed Tomography Series Labeling and Characterization: Proof-of-C...

Background: Although Digital Imaging and Communications in Medicine (DICOM) metadata are widely used to manage medical imaging data and support clinical workflows, their suitabilit...

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lifespan.io /2 days ago

AI Extracts Broader Health Insights From Routine CT Scans

A new study suggests that CT scans can provide information about a wide range of conditions, including some not typically diagnosed through imaging. Direct comparison with human ra...

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bioengineer.org /1 month ago

New Prediction Model Forecasts High-Grade Glioma Progression Using Radiomics and Pathomics

For patients diagnosed with high-grade gliomas, the most aggressive form of primary brain cancer, one of the most urgent clinical questions is deceptively simple: who will progress...

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philstockworld.com /1 month ago

Alibaba Radiology AI Outperforms 23 of 26 Radiologists Across 146 Diseases in Science

Alibaba CT scan AI called DAMO RADAR outperformed 23 of 26 specialist radiologists across eight independent centers and screens 146 abdominal … Source

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bioengineer.org /12 hours ago

Deep Learning Breast DWI Preferred in Retrospective Imaging Study

A retrospective study of 77 breast cancer cases found that single-shot breast diffusion-weighted MRI with deep learning reconstruction received higher image-quality ratings, strong...

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rna-seqblog.com /4 weeks ago

RNA variant imaging for cancer diagnosis

RNA Variant Imaging is attracting attention because it addresses a persistent blind spot in cancer diagnostics: many clinically relevant RNA isoforms, splice events, and fusion tra...

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thehealthcareblog.com /2 weeks ago

Comment on The Rural Radiologist Who Already Exists by Diagnopein Diagnostics

Looking for the best radiologist in Pune? Diagnopein offers expert radiology services with advanced imaging technology. Visit our trusted radiology center near you for accurate res...

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techmeme.com /1 month ago

Alibaba's Damo Academy open sources RADAR, a medical vision-language model it says can read CT scans and identify ~150 a...

Ann Cao / South China Morning Post: Alibaba's Damo Academy open sources RADAR, a medical vision-language model it says can read CT scans and identify ~150 abdominal conditions, inc...

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medinform.jmir.org /1 month ago

Automated Renal Tumor Segmentation in Computed Tomography Images Using a Global Attention–Based DeepLabV3+ Model: Algori...

Background: The rising global incidence of renal tumors necessitates precise diagnostic interventions. Accurate segmentation of computed tomography (CT) scans is essential for neph...

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pandaily.com /1 month ago

Alibaba DAMO Academy Open-Sources Expert-Level Abdominal CT Model DAMO RADAR in Science

DAMO RADAR, an open-weight abdominal CT AI from Alibaba DAMO Academy published in Science, flags 146 findings across 18 organs with AUC ~0.913 and expert-level reader-study results...

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habr.com /1 week ago

ИИ расширяет возможности компьютерной томографии: дайджест недели Smart Tomo Engine

Сегодня компьютерная томография решает гораздо больше задач, чем просто визуализация внутренней структуры объекта. В медицине важно снижать лучевую нагрузку и получать больше инфор...

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thehealthcareblog.com /2 weeks ago

Comment on The Rural Radiologist Who Already Exists by radiology services

Looking for the best radiologist in Pune? Diagnopein offers expert radiology services with advanced imaging technology. Visit our trusted radiology center near you for accurate res...

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bioengineer.org /4 weeks ago

AI Moves to the Heart of Radiotherapy as Digital Twins Loom

Radiation therapy has always been a discipline of exquisite precision, a practice in which millimeters and milligrays separate cure from complication. Now, according to a comprehen...

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bioengineer.org /1 week ago

AI Fuses PET and MRI Scans to Predict Prostate Cancer Aggressiveness Before Surgery

A new study shows that an interpretable AI model fusing 18F-PSMA-1007 PET/CT and multiparametric MRI can predict prostate cancer aggressiveness before surgery with high accuracy.

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thehealthcareblog.com /2 weeks ago

Comment on The Rural Radiologist Who Already Exists by radiology services

Looking for the best radiologist in Pune? Diagnopein offers expert <a href="https://www.diagnopein.com/radiology-scans/Pune" rel="nofollow ugc">radiology services</a> w...

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medinform.jmir.org /1 month ago

Automated Extraction of Postoperative Cancer Recurrence and Metastasis From Computed Tomography (CT) Reports: Semisuperv...

Background: Perioperative computed tomography (CT) imaging is essential for detecting postoperative recurrence and metastasis in cancer patients. However, large-scale automated ext...

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bioengineer.org /1 month ago

Variational autoencoders detect coronary artery disease in SPECT images

In a development that could reshape how nuclear cardiology is practiced worldwide, researchers in Japan have shown that a type of artificial intelligence called a variational autoe...

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medicalxpress.com /1 month ago

Researchers identify medulloblastoma molecular groups using noninvasive MRI spectroscopy

Research by Stefan Blüml, Ph.D., and colleagues investigates the use of in vivo proton magnetic resonance spectroscopy (¹H-MRS) to identify medulloblastoma molecular subgroups befo...

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journals.plos.org /1 month ago

SmartHisto: Bayesian active learning for histology images

by Sriram Vijendran, Bailey Arruda, Tavis K. Anderson, Oliver Eulenstein Accurate and efficient characterization of biological images is crucial for advancing systems biology and...

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healio.com /1 week ago

AI ‘may offer an efficient way’ to detect colorectal neoplasia

NASHVILLE, Tenn. — Two machine learning models demonstrated high accuracy in identifying adenomas and sessile serrated lesions, although more research is needed to determine their...

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bioengineer.org /1 month ago

HisToSpatialCNV Predicts Spatial Copy-Number Variations from Pathology Images Using Interpretable Deep Learning

Cancer’s genetic chaos may soon be readable in the ordinary stained images pathologists already examine under a microscope. A new study published in Nature Biomedical Engineering i...

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bioengineer.org /1 week ago

Automated CT Scans Give Doctors a New Window Into a Rare Cystic Lung Disease

A French pilot study shows automated quantitative CT analysis can objectively measure lung damage in pulmonary Langerhans cell histiocytosis, matching expert radiologists and revea...

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Sources covering Radiomics

bioengineer.org

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feeds.feedburner.com

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habr.com

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journals.plos.org

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medicalxpress.com

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medinform.jmir.org

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