AIMC Topic: Humans

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Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging.

Scientific reports Jul 2, 2025
Early diagnosis of Neurological Disorders (ND) such as Alzheimer's disease (AD) and Brain Tumors (BT) can be highly challenging since these diseases cause minor changes in the brain's anatomy. Magnetic Resonance Imaging (MRI) is a vital tool for diag...
Magnetic Resonance Imaging Machine Learning Alzheimer Disease Deep Learning Nervous System Diseases ROC Curve Early Diagnosis Humans Neural Networks, Computer
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A multi-modal graph-based framework for Alzheimer's disease detection.

Scientific reports Jul 2, 2025
We propose a compositional graph-based Machine Learning (ML) framework for Alzheimer's disease (AD) detection that constructs complex ML predictors from modular components. In our directed computational graph, datasets are represented as nodes [Formu...
Male Deep Learning Humans Image Processing, Computer-Assisted Machine Learning Algorithms Magnetic Resonance Imaging Female Alzheimer Disease
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A ubiquitous and interoperable deep learning model for automatic detection of pleomorphic gastroesophageal lesions.

Scientific reports Jul 2, 2025
In recent years, artificial intelligence (AI) has been widely explored to enhance capsule endoscopy (CE), with the goal of improving the efficiency of the reading process. While most AI models have been developed for small bowel and colon analysis, t...
Capsule Endoscopy Neural Networks, Computer Middle Aged Female Deep Learning Aged Esophageal Neoplasms Humans Sensitivity and Specificity Male
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Comparative study of five-year cervical cancer cause-specific survival prediction models based on SEER data.

Scientific reports Jul 2, 2025
Cervical cancer (CC) is a major cause of mortality in women, with stagnant survival rates, highlighting the need for improved prognostic models. This study aims to develop and compare machine learning models for predicting five-year cause-specific su...
Humans Machine Learning Prognosis Retrospective Studies Female Survival Analysis Uterine Cervical Neoplasms Proportional Hazards Models Middle Aged SEER Program Aged Adult Survival Rate
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A dual encoder network with multiscale feature fusion and multiple pooling channel spatial attention for skin scar image segmentation.

Scientific reports Jul 2, 2025
Skin scar is a prevalent dermatological concern that impacts both aesthetic appearance and psychological well-being, making precise delineation of scar tissue essential for clinical treatment. To address the challenge of scar image segmentation, this...
Skin Image Processing, Computer-Assisted Cicatrix Humans Neural Networks, Computer Algorithms Deep Learning
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CareAssist GPT improves patient user experience with a patient centered approach to computer aided diagnosis.

Scientific reports Jul 2, 2025
The rapid integration of artificial intelligence (AI) into healthcare has enhanced diagnostic accuracy; however, patient engagement and satisfaction remain significant challenges that hinder the widespread acceptance and effectiveness of AI-driven cl...
Patient Satisfaction Artificial Intelligence Female Male Diagnosis, Computer-Assisted Deep Learning Patient-Centered Care Humans Neural Networks, Computer
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CLASEG: advanced multiclassification and segmentation for differential diagnosis of oral lesions using deep learning.

Scientific reports Jul 2, 2025
Oral cancer has a high mortality rate primarily due to delayed diagnoses, highlighting the need for early detection of oral lesions. This study presents a novel deep learning framework for multi-class classification-based segmentation, enabling accur...
Image Processing, Computer-Assisted Diagnosis, Differential Mouth Neoplasms Humans Deep Learning
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Enhanced security for medical images using a new 5D hyper chaotic map and deep learning based segmentation.

Scientific reports Jul 2, 2025
Medical image encryption is important for maintaining the confidentiality of sensitive medical data and protecting patient privacy. Contemporary healthcare systems store significant patient data in text and graphic form. This research proposes a New ...
Image Processing, Computer-Assisted Diagnostic Imaging Confidentiality Humans Algorithms Deep Learning Computer Security
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GAINSeq: glaucoma pre-symptomatic detection using machine learning models driven by next-generation sequencing data.

Scientific reports Jul 2, 2025
Congenital glaucoma, a complex and diverse condition, presents considerable difficulties in its identification and categorization. This research used Next Generation Sequencing (NGS) whole-exome data to create a categorization framework using machine...
Genotype Decision Trees High-Throughput Nucleotide Sequencing Glaucoma Machine Learning Humans Algorithms
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Quality assessment of large language models' output in maternal health.

Scientific reports Jul 2, 2025
Optimising healthcare is linked to broadening access to health literacy in Low- and Middle-Income Countries. The safe and responsible deployment of Large Language Models (LLMs) may provide accurate, reliable, and culturally relevant healthcare inform...
Male Middle Aged Brazil Female Adult Cross-Sectional Studies Pakistan Large Language Models Health Literacy Humans Surveys and Questionnaires Language United States Pregnancy Maternal Health
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