AIMC Topic: Early Diagnosis
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Revolutionizing early Alzheimer's disease and mild cognitive impairment diagnosis: a deep learning MRI meta-analysis.
Arquivos de neuro-psiquiatria
Aug 15, 2024
BACKGROUND:  The early diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI) remains a significant challenge in neurology, with conventional methods often limited by subjectivity and variability in interpretation. Integrating deep...
AI-powered innovations in pancreatitis imaging: a comprehensive literature synthesis.
Abdominal radiology (New York)
Aug 12, 2024
Early identification of pancreatitis remains a significant clinical diagnostic challenge that impacts patient outcomes. The evolution of quantitative imaging followed by deep learning models has shown great promise in the non-invasive diagnosis of pa...
Effectiveness of Artificial Intelligence (AI) in Clinical Decision Support Systems and Care Delivery.
Journal of medical systems
Aug 12, 2024
This review aims to assess the effectiveness of AI-driven CDSSs on patient outcomes and clinical practices. A comprehensive search was conducted across PubMed, MEDLINE, and Scopus. Studies published from January 2018 to November 2023 were eligible fo...
A Multi-Classification Accessment Framework for Reproducible Evaluation of Multimodal Learning in Alzheimer's Disease.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 8, 2024
Multimodal learning is widely used in automated early diagnosis of Alzheimer's disease. However, the current studies are based on an assumption that different modalities can provide more complementary information to help classify the samples from the...
Artificial Intelligence for Early Detection of Pediatric Eye Diseases Using Mobile Photos.
JAMA network open
Aug 1, 2024
IMPORTANCE: Identifying pediatric eye diseases at an early stage is a worldwide issue. Traditional screening procedures depend on hospitals and ophthalmologists, which are expensive and time-consuming. Using artificial intelligence (AI) to assess chi...
Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study.
Journal of medical Internet research
Jul 30, 2024
BACKGROUND: Under- or late identification of pulmonary embolism (PE)-a thrombosis of 1 or more pulmonary arteries that seriously threatens patients' lives-is a major challenge confronting modern medicine.
Deep learning-assisted multispectral imaging for early screening of skin diseases.
Photodiagnosis and photodynamic therapy
Jul 26, 2024
INTRODUCTION: Melanocytic nevi (MN), warts, seborrheic keratoses (SK), and psoriasis are four common types of skin surface lesions that typically require dermatoscopic examination for definitive diagnosis in clinical dermatology settings. This proces...
Parkinson's image detection and classification based on deep learning.
BMC medical imaging
Jul 25, 2024
OBJECTIVE: There are two major issues in the MRI image diagnosis task for Parkinson's disease. Firstly, there are slight differences in MRI images between healthy individuals and Parkinson's patients, and the medical field has not yet established pre...
Artificial intelligence meets pulmonary hypertension: early detection for a late-presenting disease.
The European respiratory journal
Jul 25, 2024
A deep learning framework for the early detection of multi-retinal diseases.
PloS one
Jul 25, 2024
Retinal images play a pivotal contribution to the diagnosis of various ocular conditions by ophthalmologists. Extensive research was conducted to enable early detection and timely treatment using deep learning algorithms for retinal fundus images. Qu...
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