AIMC Topic: Diagnosis, Computer-Assisted

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Investigation of Inter-Patient, Intra-Patient, and Patient-Specific Based Training in Deep Learning for Classification of Heartbeat Arrhythmia.

Cardiovascular engineering and technology Feb 26, 2025
Effective diagnosis of electrocardiogram (ECG) is one of the simplest and fastest ways to assess the heart's function. In the recent decade, various attempts have been made to automate the classification of electrocardiogram signals to detect heartbe...
Databases, Factual Reproducibility of Results Diagnosis, Computer-Assisted Humans Signal Processing, Computer-Assisted Arrhythmias, Cardiac Heart Rate Action Potentials Predictive Value of Tests Deep Learning Electrocardiography
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Optimizing Bi-LSTM networks for improved lung cancer detection accuracy.

PloS one Feb 24, 2025
Lung cancer remains a leading cause of cancer-related deaths worldwide, with low survival rates often attributed to late-stage diagnosis. To address this critical health challenge, researchers have developed computer-aided diagnosis (CAD) systems tha...
Diagnosis, Computer-Assisted Deep Learning Support Vector Machine Lung Neoplasms Machine Learning Algorithms Humans Neural Networks, Computer
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Enhancing diagnostic accuracy of thyroid nodules: integrating self-learning and artificial intelligence in clinical training.

Endocrine Feb 20, 2025
PURPOSE: This study explores a self-learning method as an auxiliary approach in residency training for distinguishing between benign and malignant thyroid nodules.
Male Diagnosis, Computer-Assisted Clinical Competence Female Adult Humans Radiology Thyroid Neoplasms Artificial Intelligence Internal Medicine Thyroid Nodule Internship and Residency
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Optimized machine learning framework for cardiovascular disease diagnosis: a novel ethical perspective.

BMC cardiovascular disorders Feb 20, 2025
Alignment of advanced cutting-edge technologies such as Artificial Intelligence (AI) has emerged as a significant driving force to achieve greater precision and timeliness in identifying cardiovascular diseases (CVDs). However, it is difficult to ach...
Machine Learning Decision Trees Decision Support Techniques Predictive Value of Tests Reproducibility of Results Cardiovascular Diseases Humans Diagnosis, Computer-Assisted
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Long-tailed medical diagnosis with relation-aware representation learning and iterative classifier calibration.

Computers in biology and medicine Feb 19, 2025
Recently computer-aided diagnosis has demonstrated promising performance, effectively alleviating the workload of clinicians. However, the inherent sample imbalance among different diseases leads algorithms biased to the majority categories, leading ...
Humans Machine Learning Databases, Factual Diagnosis, Computer-Assisted Algorithms Calibration
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[Artificial intelligence and machine learning in auscultation: prospects of the project DigitaLung].

Pneumologie (Stuttgart, Germany) Feb 17, 2025
Auscultation is one of the key medical skills in physical examination. The main problem with auscultation is the lack of objectivity of the findings and great dependence on the experience of the examiner. Auscultation using machine learning and neura...
Diagnosis, Computer-Assisted Lung Diseases Neural Networks, Computer Auscultation Humans Artificial Intelligence Machine Learning
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FibrAIm - The machine learning approach to identify the early stage of liver fibrosis and steatosis.

International journal of medical informatics Feb 15, 2025
BACKGROUND: Early recognition of steatosis (fatty liver) and fibrosis in liver health is crucial for effectively managing and preventing the possibility of liver dysfunction. Detecting steatosis helps identify individuals at risk of liver-related dis...
Fatty Liver Liver Cirrhosis Machine Learning Diagnosis, Computer-Assisted Non-alcoholic Fatty Liver Disease Humans
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Deep learning paradigms in lung cancer diagnosis: A methodological review, open challenges, and future directions.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 11, 2025
Lung cancer is the leading cause of global cancer-related deaths, which emphasizes the critical importance of early diagnosis in enhancing patient outcomes. Deep learning has demonstrated significant promise in lung cancer diagnosis, excelling in nod...
Lung Neoplasms Diagnosis, Computer-Assisted Deep Learning Humans Neural Networks, Computer
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Review on computational methods for the detection and classification of Parkinson's Disease.

Computers in biology and medicine Feb 11, 2025
BACKGROUND AND OBJECTIVE: The worldwide estimates reveal two-fold increase in incidence of Parkinson's disease (PD) over 25 years. The two-fold increased incidence and lack of proper treatment uplifted a compelling solicitude, nagging towards accurat...
Image Interpretation, Computer-Assisted Machine Learning Diagnosis, Computer-Assisted Magnetic Resonance Imaging Parkinson Disease Deep Learning Humans
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Artificial intelligence-assisted diagnosis of early gastric cancer: present practice and future prospects.

Annals of medicine Feb 10, 2025
Gastric cancer (GC) occupies the first few places in the world among tumors in terms of incidence and mortality, causing serious harm to human health, and at the same time, its treatment greatly consumes the health care resources of all countries in ...
Artificial Intelligence Stomach Neoplasms Diagnosis, Computer-Assisted Humans Early Detection of Cancer
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