AIMC Topic: Deep Learning
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A CT-based deep learning-driven tool for automatic liver tumor detection and delineation in patients with cancer.
Cell reports. Medicine
Mar 20, 2025
Liver tumors, whether primary or metastatic, significantly impact the outcomes of patients with cancer. Accurate identification and quantification are crucial for effective patient management, including precise diagnosis, prognosis, and therapy evalu...
Deep Learning-Assisted SERS for Therapeutic Drug Monitoring of Clozapine in Serum on Plasmonic Metasurfaces.
Nano letters
Mar 20, 2025
Clozapine is widely regarded as one of the most effective therapeutics for treatment-resistant schizophrenia. Despite its proven efficacy, the therapeutic use of clozapine is complicated by its narrow therapeutic index, which necessitates rapid and p...
Generating accurate sex estimation from hand X-ray images using AI deep-learning techniques: A study of limited bone regions.
Legal medicine (Tokyo, Japan)
Mar 20, 2025
Hand bone structure provides valuable features for sex estimation. This research introduces a novel approach using Artificial Intelligence (AI), specifically Convolutional Neural Networks (CNNs), to classify sex from hand X-ray images, focusing on th...
Psychedelic Drugs in Mental Disorders: Current Clinical Scope and Deep Learning-Based Advanced Perspectives.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Mar 20, 2025
Mental disorders are a representative type of brain disorder, including anxiety, major depressive depression (MDD), and autism spectrum disorder (ASD), that are caused by multiple etiologies, including genetic heterogeneity, epigenetic dysregulation,...
Comparison of MRI and CT based deep learning radiomics analyses and their combination for diagnosing intrahepatic cholangiocarcinoma.
Scientific reports
Mar 20, 2025
Intrahepatic cholangiocarcinoma (iCCA) and other subtypes of primary liver cancer (PLC) have overlapping clinical manifestations and radiological characteristics. The objective of this study was to evaluate the efficacy of deep learning (DL) radiomic...
A hybrid object detection approach for visually impaired persons using pigeon-inspired optimization and deep learning models.
Scientific reports
Mar 20, 2025
Visually challenged persons include a significant part of the population, and they exist all over the globe. Recently, technology has demonstrated its occurrence in each field, and state-of-the-art devices aid humans in their everyday lives. However,...
Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism.
Scientific reports
Mar 20, 2025
The outbreak of infectious diseases can have profound impacts on socio-economic balances globally. Accurate short-term forecasting of infectious diseases is crucial for policymakers and healthcare systems. This study proposes a novel deep learning ap...
A fusion model to predict the survival of colorectal cancer based on histopathological image and gene mutation.
Scientific reports
Mar 20, 2025
Colorectal cancer (CRC) is a prevalent gastrointestinal tumor worldwide with high morbidity and mortality. Predicting the survival of CRC patients not only enhances understanding of their life expectancies but also aids clinicians in making informed ...
Artificial intelligence to enhance the diagnosis of ocular surface squamous neoplasia.
Scientific reports
Mar 20, 2025
To provide an artificial intelligence (AI) method using in vivo confocal microscopy (IVCM) to differentiate ocular surface squamous neoplasia (OSSN) from other lesions and compare the performance of well-known AI-related solutions. A dataset of 2,774...
Robust enzyme discovery and engineering with deep learning using CataPro.
Nature communications
Mar 20, 2025
Accurate prediction of enzyme kinetic parameters is crucial for enzyme exploration and modification. Existing models face the problem of either low accuracy or poor generalization ability due to overfitting. In this work, we first developed unbiased ...
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