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Rule-Based Cardiovascular Disease Diagnosis
Cardiovascular disease is defined as the effect of damage to the heart and vessels in the body. The prevalence of this disease and the fact that it...
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Artificial Neural Network for Thyroid Disease Diagnosis
Thyroid is one of the major glands in the human body. It is responsible for various hormones secretion like Triiodothyronine (T3) and Thyroxin (T4)....
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Towards knowledge-infused automated disease diagnosis assistant
With the advancement of internet communication and telemedicine, people are increasingly turning to the web for various healthcare activities. With...
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Deep Learning Approach for Early Diagnosis of Alzheimer’s Disease
Alzheimer’s disease (AD) is a widespread neurological condition that affects millions of individuals worldwide. As a leading cause of dementia, AD is...
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Algorithm-assisted diagnosis of Hirschsprung’s disease – evaluation of robustness and comparative image analysis on data from various labs and slide scanners
BackgroundDifferences in the preparation, staining and scanning of digital pathology slides create significant pre-analytic variability....
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Diagnosis of cardiovascular disease in patients with chronic kidney disease
Patients with chronic kidney disease (CKD) are at high risk of cardiovascular disease (CVD) and cardiovascular death. Identifying and monitoring...
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Diagnosis of Prion Disease: Conventional Approaches
Prion diseases are characterized by the deposition of PrPSc, an abnormal form of the normal cellular protein, PrPc in the brain. The unique nature of...
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Temporal uncertainty in disease diagnosis
There is a profound paradox in modern medical knowledge production: The more we know, the more we know that we (still) do not know. Nowhere is this...
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Aseptic Collection, Preservation, and Dispatch of Samples for Disease Diagnosis
Accurate diagnosis of a specific disease invariably necessitates the laboratory testing of clinical samples to detect the presence of pathogens. The...
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Fine-Tuning VGG16 for Alzheimer’s Disease Diagnosis
Alzheimer’s disease is a devastating neurological disorder that affects millions of people worldwide. It is characterized by the progressive death of...
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Heart Disease Diagnosis Using Machine Learning Classifiers
The term “heart or cardiovascular disease” is frequently used to refer to a variety of heart-related issues. It is one of the illnesses with the...
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Deep Learning Assisted Diagnosis of Parkinson’s Disease
A neurodegenerative condition that affects the elderly is Parkinson’s disease (PD). A crucial first step in giving quick medical attention is the...
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Plant Disease Diagnosis with Artificial Intelligence (AI)
Plant diseases, which are unseen but deadly, endanger our crops and the food security of nations. However, optimism stems from the convergence of...
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Molecular Imaging for Early-Stage Disease Diagnosis
With the development of cellular biology, molecular biology, and other subjects, targeted molecular probe was combined with medical imaging...
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Emerging Coldwater Fish Disease: Diagnosis and Treatment
The rapid growth and expansion of coldwater aquaculture are also marked by the increased occurrence of new potential health issues. Inclusive...
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Multimodality Fusion Strategies in Eye Disease Diagnosis
Multimodality fusion has gained significance in medical applications, particularly in diagnosing challenging diseases like eye diseases, notably...
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Technologies and Therapies for Disease Diagnosis and Treatment
Health is a vital factor for the proper functioning of the various organs in the human body. Moreover, it is directly associated with the quality of...
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Diagnosis and Analysis of Multiple Sclerosis Disease Using Artificial Intelligence
Multiple sclerosis (MS) is a chronic acquired idiopathic, autoimmune inflammatory demyelinating disorder of the central nervous system (CNS) that...
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Diagnosis of Parkinson’s Disease Using Machine Learning Algorithms
Parkinson’s disease is an age-related nervous system disorder that impacts movement of the human body. Cure of this disease is yet unknown, but a...
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Deep Learning Techniques for Computer-Aided Diagnosis of Various Cancers
Deep learning has emerged as a key machine learning technology in object detection, attracting attention for its results in medical imaging analysis....