AIMC Topic: Diagnosis, Computer-Assisted

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Multimodal autism detection: Deep hybrid model with improved feature level fusion.

Computer methods and programs in biomedicine Dec 18, 2024
OBJECTIVE: Social communication difficulties are a characteristic of autism spectrum disorder (ASD), a neurodevelopmental condition. The earlier method of diagnosing autism largely relied on error-prone behavioral observation of symptoms. More intell...
Face Humans Autistic Disorder Algorithms Deep Learning Autism Spectrum Disorder Electroencephalography Diagnosis, Computer-Assisted Neural Networks, Computer Machine Learning
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Automated Bone Cancer Detection Using Deep Learning on X-Ray Images.

Surgical innovation Dec 16, 2024
In recent days, bone cancer is a life-threatening health issue that can lead to death. However, physicians use CT-scan, X-rays, or MRI images to recognize bone cancer, but still require techniques to increase precision and reduce human labor. These m...
Image Processing, Computer-Assisted Bone Neoplasms Humans Tomography, X-Ray Computed Diagnosis, Computer-Assisted Algorithms Deep Learning
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ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions.

Artificial intelligence in medicine Dec 12, 2024
Using Deep Learning in computer-aided diagnosis systems has been of great interest due to its impressive performance in the general domain and medical domain. However, a notable challenge is the lack of explainability of many advanced models, which p...
Artificial Intelligence Diagnosis, Computer-Assisted Radiologists Intention Deep Learning Humans
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Exploring diabetes through the lens of AI and computer vision: Methods and future prospects.

Computers in biology and medicine Dec 12, 2024
Early diagnosis and timely initiation of treatment plans for diabetes are crucial for ensuring individuals' well-being. Emerging technologies like artificial intelligence (AI) and computer vision are highly regarded for their ability to enhance the a...
Diabetes Mellitus Telemedicine Diagnosis, Computer-Assisted Deep Learning Artificial Intelligence Machine Learning Humans
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Hybrid statistical and machine-learning approach to hearing-loss identification based on an oversampling technique.

Computers in biology and medicine Dec 12, 2024
BACKGROUND AND OBJECTIVES: Hearing loss is a crucial global health hazard exerting considerable social and physiological effects on spoken language and cognition. Patients affected by this condition may experience social and professional hardships th...
Support Vector Machine Hearing Loss Machine Learning Female Male Diagnosis, Computer-Assisted Adult Humans
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AI-CADR: Artificial Intelligence Based Risk Stratification of Coronary Artery Disease Using Novel Non-Invasive Biomarkers.

IEEE journal of biomedical and health informatics Dec 5, 2024
Coronary artery disease (CAD) is one of the most common causes of sudden cardiac arrest, accounting for a large percentage of global mortality. A timely diagnosis and detection may save a person's life. The research suggests a methodological framewor...
Female Aged Humans Male Artificial Intelligence Machine Learning Biomarkers Diagnosis, Computer-Assisted Coronary Angiography Middle Aged Coronary Artery Disease Risk Assessment
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Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet.

Computers in biology and medicine Dec 4, 2024
Cancer, a global health threat, demands effective diagnostic solutions to combat its impact on public health, particularly for breast, colon, and lung cancers. Early and accurate diagnosis is essential for successful treatment, prompting the rise of ...
Humans Prognosis Female Deep Learning Lung Neoplasms Colonic Neoplasms Breast Neoplasms Diagnosis, Computer-Assisted
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Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition.

Scientific reports Dec 3, 2024
Early detection of colorectal carcinoma (CRC), one of the most prevalent forms of cancer worldwide, significantly enhances the prognosis of patients. This research presents a new method for improving CRC detection using a deep learning ensemble with ...
Deep Learning Image Processing, Computer-Assisted Early Detection of Cancer Databases, Factual Colorectal Neoplasms Diagnosis, Computer-Assisted Humans Neural Networks, Computer
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Enhanced interpretable thyroid disease diagnosis by leveraging synthetic oversampling and machine learning models.

BMC medical informatics and decision making Nov 29, 2024
Thyroid illness encompasses a range of disorders affecting the thyroid gland, leading to either hyperthyroidism or hypothyroidism, which can significantly impact metabolism and overall health. Hypothyroidism can cause a slowdown in bodily processes, ...
Diagnosis, Computer-Assisted Female Thyroid Diseases Humans Male Machine Learning
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine.

Scientific reports Nov 29, 2024
Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the optic nerve head and is characterized by permanent blindness. For mass fundus image-based glaucoma classification, an improved automated computer-aided ...
Principal Component Analysis Retina Algorithms Diagnosis, Computer-Assisted Glaucoma Humans Machine Learning
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