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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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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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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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bioengineer.org /1 month ago

Feature-weighted PCNN classifies big medical data efficiently using MapReduce

Researchers in India have unveiled a new hybrid artificial intelligence framework designed to classify massive medical datasets with unprecedented accuracy, combining bio-inspired...

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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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bioengineer.org /2 days 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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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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bioengineer.org /19 hours ago

Super-resolution GAN and swarm-optimized transfer learning sharpen Alzheimer’s MRI classification

A new deep learning framework that pairs super-resolution image enhancement with swarm-optimized transfer learning classified Alzheimer's disease stages from MRI scans with up to 9...

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bioengineer.org /2 weeks 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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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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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 /1 month ago

Automatic Kidney Image Segmentation During Robot-Assisted Partial Nephrectomy Using a Deep Learning Model Based on a Mul...

Background: Augmented reality (AR) has emerged as a promising tool to enhance surgical precision during robot-assisted partial nephrectomy (RAPN), particularly by enabling the intr...

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deccanchronicle.com /2 weeks ago

AI May Spot Disease but Mark Wrong Area: IIIT-H Study

Radiologists’ ratings differ from computer-based assessment (

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bioengineer.org /4 weeks ago

AI Learns to Read Cancer Slides Like a Pathologist by Watching the Neighborhood

Every day, pathologists around the world peer through microscopes at glass slides no bigger than a postage stamp, yet each one can contain billions of pixels when digitized. These...

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electronicsforu.com /1 month ago

Raspberry Pi 3 Runs Offline Skin Lesion Classifier

A Heriot-Watt researcher has built a Raspberry Pi 3-based skin lesion screening device that classifies images offline with reported accuracy of 85 per cent. Tess Watt, a PhD candid...

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bioengineer.org /2 weeks ago

Data-Efficient AI Transformer Hits Near-Perfect Accuracy in Lung Cancer Diagnosis

Researchers report that a data-efficient vision transformer classified lung cancer histopathology images with 98.64 percent accuracy and near-perfect AUC while outpacing rival mode...

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bioengineer.org /1 week ago

AI Trained Only on Adult Biopsies Accurately Diagnoses Coeliac Disease in Children

A deep learning model trained exclusively on adult duodenal biopsy images has achieved pathologist-level accuracy in diagnosing coeliac disease in children across independent hospi...

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qchron.com /1 month ago

Aignostics Launches PathoSearch, a Visual Search Engine for Pathology Cases

Now available via early access: image-based search retrieves real, diagnosed reference cases from world-class centers, spanning 300+ diagnostic entities.

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lifespan.io /4 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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healio.com /1 month ago

Study: AI-based cartilage imaging predicts knee replacement

Fully automated, AI-based cartilage segmentation with MRI identified knees requiring replacement with the same degree of success as manual human analysis, according to published re...

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medinform.jmir.org /2 days ago

Cross-Domain Chest Radiograph Report Generation Under Dataset Shift: Bidirectional Audit Study

Background: Cross-domain chest radiograph report generation may produce formally valid reports that are nevertheless repetitive, weakly case-specific, or missing clinically relevan...

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medinform.jmir.org /1 week ago

Automated Lewis Score Estimation for Small Bowel Crohn Disease Using Capsule Endoscopy: Retrospective Cohort Study

Background: Small bowel capsule endoscopy (SBCE) is widely used to evaluate small bowel involvement in Crohn disease (CD); however, manual Lewis score calculation is time-consuming...

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medicalxpress.com /2 weeks ago

A new AI tool distinguishes Ewing sarcoma from similar tumors

A team from the Universitat Politècnica de València (UPV) and the University of Valencia (UV) has developed and validated an artificial intelligence (AI) system capable of distingu...

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blog.adafruit.com /1 month ago

Detect Skin Cancer with Raspberry Pi #piday #raspberrypi

A photograph is taken of a skin lesion using an interface designed to be as user-friendly as possible. The system is a demonstration of TinyM, image via Raspberry Pi LesionIQ is a...

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