Artificial Intelligence Medical Compendium

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

Showing 69,951 to 69,960 of 234,067 articles

ERANet: Edge replacement augmentation for semi-supervised meniscus segmentation with prototype consistency alignment and conditional self-training.

Neural networks : the official journal of the International Neural Network Society Nov 15, 2025
The meniscus, a fibrocartilaginous structure within the knee joint, plays an essential role in joint stability and the prevention of knee osteoarthritis (OA). Accurate segmentation of the meniscus from magnetic resonance imaging (MRI) is crucial for ... read more 

Feasibility of deep learning-based cancer detection in ultrasound microvascular images.

Ultrasonics Nov 15, 2025
Acoustic angiography is a superharmonic contrast-enhanced ultrasound modality that maps 3-D microvasculature with fine spatial resolutions and has demonstrated potential to improve disease detection. However, the application of acoustic angiography f... read more 

Breast cancer early detection and molecular subtype prediction by combination of Raman spectroscopy with deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 15, 2025
Breast cancer is one of the most common tumors in women, and early screening can significantly reduce mortality rates. Meanwhile, accurately identifying HER2-positive and HER2-negative subtypes of breast cancer is critical for helping doctors determi... read more 
Humans Neural Networks, Computer Female Adult Breast Neoplasms Biomarkers, Tumor Middle Aged Deep Learning Spectrum Analysis, Raman Early Detection of Cancer Receptor, ErbB-2

Novel reliable model by integrating the discrete wavelet transform with fuzzy intelligent systems for the simultaneous spectrophotometric determination of anticancer drug and anti-acquired resistance drug in biological samples.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 15, 2025
Simultaneous measurement of drugs used to treat cancer and medications prescribed to overcome resistance to these drugs is important in pharmaceutical formulations and biological samples. In this study, a spectrophotometric method with a hybrid of di... read more 
Humans Antineoplastic Agents Fuzzy Logic Principal Component Analysis Drug Resistance, Neoplasm Wavelet Analysis Spectrophotometry Intelligent Systems Erlotinib Hydrochloride

Predicting the composition of aroma components in Baijiu using hyperspectral imaging combined with a replication allocation strategy-enhanced stacked ensemble learning model.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 15, 2025
Ester and acid aroma compounds are crucial components affecting the fragrance of Baijiu, and their composition can endow the Baijiu with a fruity, acidic, floral, or roasted aroma. This study aims to quantitatively detect the ester and acid content i... read more 
Machine Learning Odorants Esters Hyperspectral Imaging Soy Foods Ensemble Learning Acids

Sensitive discrimination of hazardous explosives by a sensor array based on siloles with aggregate-induced emission.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 15, 2025
The utilization of cationic amidinourea as side chain of fluorophore has rarely been reported, which might be an efficient and feasible strategy for detecting hazardous explosives. In this work, we present an organic sensor bearing a cationic amidino... read more 

ChatGPT-polished scientific writing and AI detection: Cohorts, baselines, fairness.

JAAD international Nov 15, 2025
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Artificial intelligence: why we need it and what it means for the future of oral medicine.

Oral surgery, oral medicine, oral pathology and oral radiology Nov 15, 2025
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AI-Driven Recipient Recognition System for Corneal Transplantation.

Cornea Nov 14, 2025
PURPOSE: The objective of this study is to enhance the efficiency and expediency of the corneal recipient selection process from extensive recipient lists by developing an interactive program that simulates the authorized operator with an artificial ... read more 

Opt Deep CSSAN: Optimized Deep Convolutional Spectral-Spatial Attention Network for hyperspectral image classification.

Computational biology and chemistry Nov 14, 2025
Hyperspectral technology contains the most basic and accurate data in topography through taking hundreds of finely categorized spectral bands at the same time, which serves very useful places, like the surveillance of agriculture, geological explorat... read more 
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