Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,901 to 1,910 of 213,633 articles

Machine learning-based electrofacies characterization of the Asmari reservoir in the Ahvaz oil field (SW Iran) using multi-resolution graph-based clustering (MRGC) and hydraulic flow unit (HFU) analysis.

Scientific reports
Electrofacies (EF) analysis has become an effective approach for reservoir characterization, particularly in heterogeneous reservoirs where core data are limited or unavailable. This study presents an integrated Artificial Intelligence (AI) and Machi... read more 

Two-stage deep learning for circular landmark detection in hip radiographs.

Scientific reports
This study develops a high-resolution anatomical landmark detection method for hip anteroposterior radiographs, designed to enhance the accuracy of femoral head and acetabulum localization in both native and prosthetic joints. A two-stage deep learni... read more 

RCAF for patient-level thyroid ultrasound malignancy prediction under leakage-free evaluation and calibration.

Scientific reports
Accurate differentiation between benign and malignant thyroid nodules on ultrasound remains clinically important, yet interpretation is operator-dependent and subject to inter-observer variability. Recent deep learning studies report strong performan... read more 

An efficient framework for real-time colorectal polyp detection using local outlier factor-based preprocessing and YOLOv11n.

Scientific reports
Timely and accurate detection of colorectal polyps plays an important role in the prevention and early diagnosis of colorectal cancer. Despite the advancement of deep learning-based methods, automatic polyp detection remains a challenging problem due... read more 

Improved hybrid islanding detection using data fusion, adaptive back propagation neural network and support vector machine with ROCPAD and IBRPV.

Scientific reports
A new hybrid islanding detection method (IDM) is proposed in this study to enhance the precision and effectiveness of islanding detection in hybrid microgrids (HMGs), especially in light of the increasing integration of renewable energy sources (RES)... read more 

Temporal shifts and relationships of emotions in social and mass media: A case study of the "Reiwa Rice Riot" in Japan.

Scientific reports
In Japan, severe rice shortages in 2024 sparked widespread public controversy across both news media and social platforms, culminating in what has been termed the "Reiwa Rice Riot." This study proposes a framework to analyze the temporal dynamics and... read more 

Thrust prediction for hybrid rocket motors with aerodynamic throats based on radial basis function neural networks.

Scientific reports
Hybrid rocket motors with aerodynamic-throat nozzles can mitigate the chamber-pressure drop during deep throttling by using secondary injection to modify the effective throat area, without moving mechanical parts. However, rapid thrust prediction rem... read more 

Intelligent identification of dolphin whistle in acoustic signals via deep learning.

Scientific reports
Deep learning has been increasingly employed for identifying dolphin vocalizations. Specifically, convolutional neural networks (CNNs) proved effective in detecting dolphin whistles. The aim of the study is to introduce a novel method based on CNNs a... read more 

Prognostic survival models for diffuse large B-cell lymphoma using statistical and machine learning approaches.

NPJ precision oncology
Although diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease, existing prognostic tools, including the revised International Prognostic Index (R-IPI) and the National Comprehensive Cancer Network (NCCN-IPI), do not fully capture the hete... read more 

Reversing cancer cell behavior using AI-guided CRISPR and quantum nanobiology: a systems-based approach to epigenetic reprogramming.

Gene therapy
Treatment effectiveness is hindered by the phenotypic plasticity of cancer and the genetic complexity of tumors. However, CRISPR-Cas-based medicines face challenges with specificity, off-target effects, and tumor heterogeneity adaptability. This work... read more