A5101510494- ECG Monitoring and Analysis
- Musculoskeletal pain and rehabilitation
- Phonocardiography and Auscultation Techniques
- EEG and Brain-Computer Interfaces
- Spine and Intervertebral Disc Pathology
- Alcoholism and Thiamine Deficiency
- Customer Service Quality and Loyalty
- Poisoning and overdose treatments
- Diet, Metabolism, and Disease
- Cardiac pacing and defibrillation studies
- vaccines and immunoinformatics approaches
- Customer churn and segmentation
- Research on Leishmaniasis Studies
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Genetics, Bioinformatics, and Biomedical Research
- Digital Imaging for Blood Diseases
- Artificial Intelligence in Healthcare and Education
- Myofascial pain diagnosis and treatment
- COVID-19 diagnosis using AI
- Renal function and acid-base balance
- AI in cancer detection
- Liver Disease Diagnosis and Treatment
- Pregnancy-related medical research
- Radiomics and Machine Learning in Medical Imaging
- Complex Network Analysis Techniques
University of Tehran
2023-2024
University of Isfahan
2023
Aja University of Medical Sciences
2023
Zanjan University of Medical Sciences
2022
Abstract COVID-19 is a highly communicable respiratory illness caused by the novel coronavirus SARS-CoV-2, which has had significant impact on global public health and economy. Detecting patients during pandemic with limited medical facilities can be challenging, resulting in errors further complications. Therefore, this study aims to develop deep learning models facilitate automated diagnosis of from CT scan records patients. The also introduced COVID-MAH-CT, new dataset that contains 4442...
Abstract Background Leishmaniasis, an illness caused by protozoa, accounts for a substantial number of human fatalities globally, thereby emerging as one the most fatal parasitic diseases. The conventional methods employed detecting Leishmania parasite through microscopy are not only time-consuming but also susceptible to errors. Therefore, main objective this study is develop model based on deep learning, subfield artificial intelligence, that could facilitate automated diagnosis...
Leishmania, a single-cell parasite prevalent in tropical and subtropical regions worldwide, can cause varying degrees of leishmaniasis, ranging from self-limiting skin lesions to potentially fatal visceral complications. As such, the has been subject much interest scientific community. In recent years, advances diagnostic techniques such as flow cytometry, molecular biology, proteomics, nanodiagnosis have contributed progress diagnosis this deadly disease. Additionally, emergence artificial...
Abstract Background Neck pain and disability is a significant public health problem with only very few evidence-based treatment option. The aim of this study was to evaluate the effect isometric exercise on cervical spondylosis. Methods Twenty four patients osteoarthritis neck (22 females 2 males; mean age, 46.70 ± 13.71 years) were recruited randomly allocated into arms: exercises (n = 12) conservative management without 12). Disability Index (NDI) Pain Scale (NPAD) used assess participants...
ABSTRACT The left bundle branch block is a cardiac conduction disorder that affects the heart’s electrical system. It causes ventricle of heart to contract later than right ventricle, leading an irregular heartbeat. diagnosis crucial in determining most effective treatment for irregularities, including resynchronization therapy. Cardiac therapy uses pacemaker-like device resynchronize contractions and improve its function. However, diagnosing accurately can be challenging using traditional...
Background: Modic changes (MC) are among the pain generators in lumbar spine and could affect back treatments. Objectives: The current study aimed to investigate effect of MC on treatment outcomes low (LBP) patients who underwent conservative Methods: This prospective cohort was performed 166 nonspecific LBP presenting 501 Hospital receiving were categorized based their status, which determined using a magnetic resonance imaging scan at baseline. Japanese Orthopedic Association (JOA) score...
Obesity is a known risk factor for diabetes, but the effect of weight changes on incidence diabetes not yet determined. This study aims to evaluate long-term effects change [based body mass index (BMI)] mellitus (DM) in middle eastern population.In Isfahan Cohort Study (ICS) 6504 adults equal or greater than 35 years age were recruited at 2001 and followed until 2013. Absolute BMI (ΔBMI) calculated by subtracting baseline from measured follow-ups. To compare participants with different...
Cardiac resynchronization therapy (CRT) is a treatment that used to compensate for irregularities in the heartbeat. Studies have shown this more effective heart patients with left bundle branch block (LBBB) arrhythmia. Therefore, identifying arrhythmia an important initial step determining whether or not use CRT. On other hand, traditional methods detecting LBBB on electrocardiograms (ECG) are often associated errors. Thus, there need accurate method diagnose from ECG data. Machine learning,...