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A global consensus on the definitions, diagnosis and management of fibrostenosing small bowel Crohn’s disease in clinical practice
Fibrostenosis of the small bowel is common in patients with Crohn’s disease. No consensus recommendations on definition, diagnosis and management in...
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Nanotheranostics for Diagnosis and Therapy
This book provides an updated account of recent advancements in the field of nanotechnology-based theranostics with special emphasis on their...
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Three-way group decisions with evidential reasoning in incomplete hesitant fuzzy information systems for liver disease diagnosis
Liver diseases have emerged as a growing concern in modern times, encompassing various disorders that can harm the liver and impede its function. The...
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Rapid diagnosis of celiac disease based on plasma Raman spectroscopy combined with deep learning
Celiac Disease (CD) is a primary malabsorption syndrome resulting from the interplay of genetic, immune, and dietary factors. CD negatively impacts...
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Multiple Infectious Disease Diagnosis and Detection Using Advanced CNN Models
In the modern medical sector, deep learning methods are proving exceptionally effective in enhancing disease detection and classification accuracy...
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Analysis of Augmentations in Contrastive Learning for Parkinson’s Disease Diagnosis
Parkinson’s disease (PD) is a neurodegenerative disease that causes a movement disorder. Early diagnosis of PD is critical for patients to receive...
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Alzheimer’s Disease Diagnosis Using MRI Images
As one gets older, the likelihood of this happening increases. Minor cognitive impairment may serve as an early warning sign of dementia, according...
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A novel plant disease diagnosis framework by integrating semi-supervised and ensemble learning
Plant disease diagnosis is one of the latest critical research areas of sustainable agriculture. The evolution of computer vision-based systems in...
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BG-3DM2F: Bidirectional gated 3D multi-scale feature fusion for Alzheimer’s disease diagnosis
A computer-aided diagnosis system is one of the crucial decision support tools under the medical imaging scope. It has recently emerged as a powerful...
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A microfluidic biosensor for the diagnosis of chronic wasting disease
Cervids are affected by a neurologic disease that is always fatal to individuals and has population effects. This disease is called chronic wasting...
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Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging
Cardiac magnetic resonance imaging (CMR) is the gold standard for cardiac function assessment and plays a crucial role in diagnosing cardiovascular...
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Mobile-Xcep hybrid model for plant disease diagnosis
AbstractMore than 80% of the human diet depends on plants. Diseases in plants can cause food insecurity, colossal crop loss, and low profit for...
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Early Diagnosis of Parkinson’s Disease Using Hand Drawings Images
This work presented a brief of the most recent technologies that tried to early diagnose Parkinson’s Disease (PD). Early diagnosis of PD can help to...
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Biomarkers in Alzheimer’s disease: role in early and differential diagnosis and recognition of atypical variants
BackgroundDevelopment of in vivo biomarkers has shifted the diagnosis of Alzheimer’s disease (AD) from the later dementia stages of disease towards...
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Advanced Overview of Biomarkers and Techniques for Early Diagnosis of Alzheimer’s Disease
The development of early non-invasive diagnosis methods and identification of novel biomarkers are necessary for managing Alzheimer’s disease (AD)...
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Performances of Machine Learning Models for Diagnosis of Alzheimer’s Disease
In recent times, various machine learning approaches have been widely employed for effective diagnosis and prediction of diseases like cancer,...
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Learning from Failure: Towards Develo** a Disease Diagnosis Assistant That Also Learns from Unsuccessful Diagnoses
In recent years, automatic disease diagnosis has gained immense popularity in research and industry communities. Humans learn a task through both...
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Blood-Based Biomarkers for Early Alzheimer’s Disease Diagnosis in Real-World Settings
As our knowledge about the biology of Alzheimer’s disease (AD) expands and we recognize the significance of early intervention for effective...
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Review on Machine Learning Techniques for Medical Data Classification and Disease Diagnosis
PurposeMachine learning (ML) has become a major trend in the industry because it is a new and extremely advanced technical application.
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Revolutionizing Parkinson’s Disease Diagnosis: An Advanced Data Science and Machine Learning Architecture
The presence of speech impairment during the early stages of Parkinson’s disease has motivated several experts to try to predict whether a patient...