AIMC Topic: Early Diagnosis

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Dental image enhancement network for early diagnosis of oral dental disease.

Scientific reports
Intelligent robotics and expert system applications in dentistry suffer from identification and detection problems due to the non-uniform brightness and low contrast in the captured images. Moreover, during the diagnostic process, exposure of sensiti...

Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique.

Computers in biology and medicine
Plant pests and diseases play a significant role in reducing the quality of agricultural products. As one of the most important plant pathogens, pests like Mediterranean fruit fly cause significant damage to crops and thus annually farmers face a lot...

Malaria Detection Using Advanced Deep Learning Architecture.

Sensors (Basel, Switzerland)
Malaria is a life-threatening disease caused by parasites that are transmitted to humans through the bites of infected mosquitoes. The early diagnosis and treatment of malaria are crucial for reducing morbidity and mortality rates, particularly in de...

Diagnosis of Operating Conditions of the Electrical Submersible Pump via Machine Learning.

Sensors (Basel, Switzerland)
In wells that operate by electrical submersible pump (ESP), the use of automation tools becomes essential in the interpretation of data. However, the fact that the wells work with automated systems does not guarantee the early diagnosis of operating ...

Early Diagnosis of Brain Diseases Using Artificial Intelligence and EV Molecular Data: A Proposed Noninvasive Repeated Diagnosis Approach.

Cells
Brain-derived extracellular vesicles (BDEVs) are released from the central nervous system. Brain-related research and diagnostic techniques involving BDEVs have rapidly emerged as a means of diagnosing brain disorders because they are minimally invas...

Deep learning-based speech analysis for Alzheimer's disease detection: a literature review.

Alzheimer's research & therapy
BACKGROUND: Alzheimer's disease has become one of the most common neurodegenerative diseases worldwide, which seriously affects the health of the elderly. Early detection and intervention are the most effective prevention methods currently. Compared ...

Feasibility of a lung airway navigation system using fiber-Bragg shape sensing and artificial intelligence for early diagnosis of lung cancer.

PloS one
Currently early diagnosis of malignant lesions at the periphery of lung parenchyma requires guidance of the biopsy needle catheter from the bronchoscope into the smaller peripheral airways via harmful X-ray radiation. Previously, we developed an imag...

Early diagnosis of Parkinson's disease: A combined method using deep learning and neuro-fuzzy techniques.

Computational biology and chemistry
Predicting Unified Parkinson's Disease Rating Scale (UPDRS) in Total- UPDRS and Motor-UPDRS clinical scales is an important part of controlling PD. Computational intelligence approaches have been used effectively in the early diagnosis of PD by predi...

Artificial intelligence to support early diagnosis of temporomandibular disorders: A preliminary case study.

Journal of oral rehabilitation
BACKGROUND: Temporomandibular disorders (TMDs) are disabling conditions with a negative impact on the quality of life. Their diagnosis is a complex and multi-factorial process that should be conducted by experienced professionals, and most TMDs remai...