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Amir Reza Naderi Yaghouti , Ahmad Shalbaf, Arash Maghsoudi,
Volume 79, Issue 1 (4-2021)
Volume 79, Issue 1 (4-2021)
Abstract
Background: Accurate and early detection of non-alcoholic fatty liver, which is a major cause of chronic diseases is very important and is vital to prevent the complications associated with this disease. Ultrasound of the liver is the most common and widely performed method of diagnosing fatty liver. However, due to the low quality of ultrasound images, the need for an automatic and intelligent classification method based on artificial intelligence methods to accurately detect the amount of liver fat is essential. This paper aims to develop an advanced machine learning model based on texture features to assess liver fat levels based on liver ultrasound images.
Methods: In this analytic study, which is done from April to November 2020 in Tehran, ultrasound images of 55 obese people who have undergone laparoscopic surgery have been used and the histological result of a liver biopsy has been employed as a reference for liver fat. First, 88 texture-based features were extracted from the images using the Gray-Level Co-Occurrence Matrix (GLCM) method. In the next step, using the method of minimum redundancy and maximum correlation, the top features were selected from among 88 features and applied to the classifier input. Finally, using the three classifiers of linear discriminant analysis, support vector machine and AdaBoost, the images were classified into 4 groups based on the amount of liver fat.
Results: The accuracy of the automatic liver fat prediction model from ultrasound images for AdaBoost classification was 92.72%. However, the accuracies obtained for support vector machine and linear discriminant analysis classification were 87.88% and 75.76%, respectively.
Methods: In this analytic study, which is done from April to November 2020 in Tehran, ultrasound images of 55 obese people who have undergone laparoscopic surgery have been used and the histological result of a liver biopsy has been employed as a reference for liver fat. First, 88 texture-based features were extracted from the images using the Gray-Level Co-Occurrence Matrix (GLCM) method. In the next step, using the method of minimum redundancy and maximum correlation, the top features were selected from among 88 features and applied to the classifier input. Finally, using the three classifiers of linear discriminant analysis, support vector machine and AdaBoost, the images were classified into 4 groups based on the amount of liver fat.
Results: The accuracy of the automatic liver fat prediction model from ultrasound images for AdaBoost classification was 92.72%. However, the accuracies obtained for support vector machine and linear discriminant analysis classification were 87.88% and 75.76%, respectively.
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Conclusion: The proposed approach based on texture features using the GLCM and the AdaBoost classification from ultrasound images automatically detects the amount of liver fat with high accuracy and can help physicians and radiologists in the final diagnosis.
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Arash Bostani, Hadi Gharabaghian Azar, Mehdi Jafari, Mastane Babaei Gramkhani,
Volume 80, Issue 1 (4-2022)
Volume 80, Issue 1 (4-2022)
Abstract
Background: Multiple sclerosis (MS), as an inflammatory autoimmune disease and chronic degenerative central nervous system degeneration, often occurs in early adulthood. One of the common and debilitating symptoms of this disease is fatigue, which can affect up to 80% of patients with MS. This study aimed to evaluate the effectiveness of magnetic field therapy on fatigue in patients with MS.
Methods: Present study is a single-blind randomized clinical trial (RCT) that Was conducted on patients with multiple sclerosis from March 2019 to September 2021. In this study, 46 patients who met our inclusion criteria were divided into two groups randomly: magnetotherapy intervention and control group. The intervention was performed in the form of a pulsed magnetic field with a frequency of 15 Hz and an intensity of 4.5 Millie Tesla. In order to blind patients, they were unaware of the intervention or control group, and the technician in charge of the treatment and the statistician knew about it. Data were then collected and recorded using the Fatigue Severity Scale, the Patient Health Questionnaire, and the Epworth Sleepiness Scale Questionnaire.
Results: Of the 46 patients studied, 22 (48%) were male and the rest of them were female [24 cases (52%)]. The mean age of men and women was 34.4±7.3 and 33.5±1.7 years, respectively. Among the intervention and control groups, 8 people took amantadine equally in each group. In the magneto-therapy intervention group, the mean severity of fatigue reduced from 4.91±0.86 to 4.27±1.10, which was significant (p=0.024). In our control group, the mean intensity of fatigue reduced from 4.83±0.83 to 4.37±0.81, which was significant statistically (p=0.028). Although, the difference between the response of the two groups to treatment was not significant (p=0.382).
Conclusion: Due to the lack of significant differences in the reduction of fatigue severity, this treatment is not recommended for the treatment and management of fatigue in patients with MS.
Methods: Present study is a single-blind randomized clinical trial (RCT) that Was conducted on patients with multiple sclerosis from March 2019 to September 2021. In this study, 46 patients who met our inclusion criteria were divided into two groups randomly: magnetotherapy intervention and control group. The intervention was performed in the form of a pulsed magnetic field with a frequency of 15 Hz and an intensity of 4.5 Millie Tesla. In order to blind patients, they were unaware of the intervention or control group, and the technician in charge of the treatment and the statistician knew about it. Data were then collected and recorded using the Fatigue Severity Scale, the Patient Health Questionnaire, and the Epworth Sleepiness Scale Questionnaire.
Results: Of the 46 patients studied, 22 (48%) were male and the rest of them were female [24 cases (52%)]. The mean age of men and women was 34.4±7.3 and 33.5±1.7 years, respectively. Among the intervention and control groups, 8 people took amantadine equally in each group. In the magneto-therapy intervention group, the mean severity of fatigue reduced from 4.91±0.86 to 4.27±1.10, which was significant (p=0.024). In our control group, the mean intensity of fatigue reduced from 4.83±0.83 to 4.37±0.81, which was significant statistically (p=0.028). Although, the difference between the response of the two groups to treatment was not significant (p=0.382).
Conclusion: Due to the lack of significant differences in the reduction of fatigue severity, this treatment is not recommended for the treatment and management of fatigue in patients with MS.
Faranak Behnaz, Azita Chegini, Sogol Asgari,
Volume 80, Issue 3 (6-2022)
Volume 80, Issue 3 (6-2022)
Abstract
Background: Coronavirus (COVID-19) represents a global public health crisis that is causing significant deaths and affecting health systems around the world. There are several risk factors for the severity of infection, complications and mortality of COVID-19. One of them is blood group. The aim of this study was to investigate the relationship between blood group and rate of covid 19 disease.
Methods: A cross sectional study was performed on 130 patients over 18 years of age admitted in ICU of Shohada Tajrish Hospital between August 2020 and April 2021.The positive COVID-19 diagnosis was confirmed by polymerase chain reaction (PCR) test. Blood groups were determined and then, we monitored and followed up the patients' outcome during staying in ICU, the need for intubation, recovery and death. Data were collected using a questionnaire and analyzed by Pearson correlation coefficient and stepwise multiple regression analysis. Results were determined based on Fisher’s exact test. P<0.05 was considered significant.
Results: 60 (46.1%) patients had blood type A, (20%) 26 patients blood type AB, 12 (9.2%) patients’ blood type B and (24.7%) 32 patients blood type O. Blood group A was significantly higher in these patients. 55 patients (42.3%) were female and 75 patients (57.7%) were male. Their mean age was 43.19±19.05. Totally, 43.1% of hospitalized patients were intubated regardless of blood type. The number of cases requiring intubation was higher in people with positive blood type A. The lowest need for intubation was seen in blood type B negative. Blood group A positive (39.6%) and then AB negative (33.3%) had the highest mortality rate. Death was not observed in blood group A negative, B negative, B positive and O negative.
Conclusion: The number of patients with COVID-19 with blood type A was significantly higher (46.1%). The most common blood group in these patients was A and the lowest was blood group B. The number of cases requiring intubation was higher in people with positive blood type A.
Methods: A cross sectional study was performed on 130 patients over 18 years of age admitted in ICU of Shohada Tajrish Hospital between August 2020 and April 2021.The positive COVID-19 diagnosis was confirmed by polymerase chain reaction (PCR) test. Blood groups were determined and then, we monitored and followed up the patients' outcome during staying in ICU, the need for intubation, recovery and death. Data were collected using a questionnaire and analyzed by Pearson correlation coefficient and stepwise multiple regression analysis. Results were determined based on Fisher’s exact test. P<0.05 was considered significant.
Results: 60 (46.1%) patients had blood type A, (20%) 26 patients blood type AB, 12 (9.2%) patients’ blood type B and (24.7%) 32 patients blood type O. Blood group A was significantly higher in these patients. 55 patients (42.3%) were female and 75 patients (57.7%) were male. Their mean age was 43.19±19.05. Totally, 43.1% of hospitalized patients were intubated regardless of blood type. The number of cases requiring intubation was higher in people with positive blood type A. The lowest need for intubation was seen in blood type B negative. Blood group A positive (39.6%) and then AB negative (33.3%) had the highest mortality rate. Death was not observed in blood group A negative, B negative, B positive and O negative.
Conclusion: The number of patients with COVID-19 with blood type A was significantly higher (46.1%). The most common blood group in these patients was A and the lowest was blood group B. The number of cases requiring intubation was higher in people with positive blood type A.
Naser Ebrahimi Daryani , Mohammad Reza Pashaei ,
Volume 80, Issue 6 (9-2022)
Volume 80, Issue 6 (9-2022)
Abstract
Nonalcoholic fatty liver disease (NAFLD) is defined by steatosis in more than 5% of liver cells, in the absence of a secondary cause such as drugs, alcohol, or other causes. The incidence of NAFLD is increasing every day; almost a quarter of the world's adult population is affected by this disease. The burden of NAFLD is affected by the epidemics of obesity and type 2 diabetes (T2DM), and therefore, we do not expect the prevalence of this disease to decrease in the future. The world is now in the process of passing on health to non-chronic diseases, like NAFLD. The most common cause of chronic liver disease worldwide is non-alcoholic fatty liver disease. About 25 percent of the world's population is affected by the disease, and it ranges from simple steatosis to cirrhosis. 1 in 4 individuals with NAFLD is a person with non-alcoholic steatohepatitis, which is associated with complications and significant mortality and morbidity due to complications such as liver cirrhosis and hepatocellular carcinoma. Non-alcoholic fatty liver disease is closely related to metabolic syndrome, and it can be said that the liver is an integral part of obesity. Diagnostic methods for this disease include laboratory tests, imaging studies and liver biopsy. Although NAFLD is observed predominantly in obese persons or type 2 diabetes, an estimated 7% to 20% of people with NAFLD have lean body habitus. Recent studies have shown that fatty liver can occur in lean individuals, even without abdominal and visceral fat. Fatty liver in lean people (Lean NAFLD) is a relatively new concept that has attracted many people to find the differences between lean and obese people. The pathophysiological mechanisms of lean NAFLD are still poorly understood. Studies have shown that NAFLD without obesity is more closely related to factors such as environmental, genetic susceptibility, and epigenetic regulation. In addition to lifestyle modifications such as weight loss, diet and physical activity, only a few NAFLD-specific drug treatment options such as vitamin E and pioglitazone are considered. This article discusses the pathogenesis of fatty liver in lean individuals, its treatment, prognosis, and its relationship with metabolic syndrome.
Zahra Azizi Farsani , Mehrdad Faizi, Arash Tafrisinejad , Mona Khoramjouy, Hamidreza Azizi Farsani ,
Volume 81, Issue 2 (5-2023)
Volume 81, Issue 2 (5-2023)
Abstract
Background: Sore throat after surgery is the second most common cause of complications in recovery. It causes decreased patient satisfaction, and it affects patients’ well-being after surgery. The aim of this study was to compare the effects of ketamine and magnesium sulfate gargle on sore throat after laminectomy.
Methods: In this randomized clinical trial, 69 candidates for laminectomy patients in Shohade-Tajrish hospital from June 2021 to December 2022 were randomly assigned to three groups of ketamine (n=25), magnesium (n=23) and control (n=21). The Magnesium group received magnesium sulfate gargle (30 mg/kg in a total of 30 ml 5% Dextrose water), Ketamine gargle (0.5 mg/kg in a total of 30 ml 5% Dextrose water), and the control group received 30 ml 5% Dextrose water gargle. Standard similar anesthesia protocols were applied for all patients. In PACU (0) and 2, 4, 24 hours afterward sore throat was assessed using a visual analog scale (VAS) scoring.
| Results: The study showed that the incidence of sore throat in the magnesium group was lower than ketamine. Comparison of the three groups at the time of recovery (0), 2, 4, and 24 hours after surgery showed that the differences between the three groups were significant in terms of sore throat. Also, the difference in the incidence of sore throat within each group in the four times in all three groups was statistically significant (P=0.001). There was no statistically significant difference between age, gender, body mass index, heart rate, blood pressure, duration of intubation, duration of surgery and anesthesia, size of laryngoscopy insertion and Cormack and Lehane score in the three studied groups. A drop in systolic blood pressure was observed in the both groups half an hour after the operation, which was statistically significant. Changes in diastolic blood pressure were significant only in the magnesium group. |
Parastoo Beknejadi, Davoud Vahabzadeh, Esmaeil Yousefi Rad , Somayeh Saboori , Koroush Ghanadi , Mehdi Birjandi,
Volume 81, Issue 12 (3-2024)
Volume 81, Issue 12 (3-2024)
Abstract
Background: The increasing prevalence of non-alcoholic fatty liver disease (NAFLD) in recent years has raised concerns about its significant risks for public health. According to previous studies, a diet with low phytochemicals and high inflammatory index is related to non-alcoholic fatty liver disease. In this study, we intend to investigate the relationship between inflammatory diet and phytochemical diet with NAFLD.
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Methods: In this case control study, 112 newly diagnosed patients with NAFLD referred to the Shahid Rahimi Hospital clinic in Khorramabad between January 1400 and April 1401 and 112 healthy individuals without NAFLD and any other chronic diseases as the control group, with the range 23-59 years old were selected. General information, demographics, physical activity level and food intake were collected using general information questionnaire, physical activity questionnaire and valid semi-quantitative food frequency questionnaire (FFQ). The energy received between the people of the two groups was adjusted. People's diet was divided into two anti-inflammatory and pro-inflammatory groups based on the DII index based on the score quartiles.
Results: The results showed a significant relationship between DII score and NAFLD in the crude model (OR: 2.22, 95% CI: 1.04 -4.73), model I (adjusted for energy and age classification) (OR: 2.4, 95% CI:1.07-5.58), model II (adjusted for model I+physical activity, sex, education) (OR:2.77, 95% CI:1.14-6.77) and model III (model II+BMI) (OR: 2.16, 95% CI: 0.81-5.71) and DPI score and NAFLD the crude model (OR: 0.69, 95% CI: 0.32-1.47), model I (adjusted for energy and age classification) (OR: 0.56, 95% CI: 1.29-5.58), model II (adjusted for model I+physical activity, sex, education) (OR:0.58, 95% CI: 0.23-1.44) and model III (model II+BMI) (OR: 0.65, 95% CI: 0.24-1.75). Conclusion: The results obtained from this study showed an inverse relationship between following an anti-inflammatory diet and the risk of NAFLD. However, there was no correlation between receiving a diet with a high phytochemical index and NAFLD. |
Maryam Behmaram, Mohammad Ghasem Hanafi, Ahmad Fakhri Zadeh , Mahsa Akhavan Sabagh , Elham Farhadi,
Volume 82, Issue 1 (4-2024)
Volume 82, Issue 1 (4-2024)
Abstract
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Background: Increasing the prevalence of non-contagious and chronic disorders such as Non-alcoholic fatty liver disease (NAFLD) takes the attention of researchers. NAFLD recognized by abnormal accumulation in the liver tissue. The aim of present study is investigating the association between liver size liver enzymes and degree of fatty liver in patients with NAFLD.
Methods: Based on the inclusion criteria, 100 Patients were selected from those referred to the radiology and ultrasonography clinic in Golestan Hospital, Ahvaz, for fatty liver evaluation. The study was carried out during May 2022 to April 2023. Liver enzymes, including alanine aminotransaminase (ALT) and Aspartate aminotransferase (AST), were measured. Based on the ultrasonography results, patients were divided into four groups: healthy, mild fatty liver, moderate fatty liver, and severe fatty liver. Ultrasonography was carried out by an experienced expert. All demographic information of patients was collected. Data were analyzed by SPSS (V25).
Methods: Based on the inclusion criteria, 100 Patients were selected from those referred to the radiology and ultrasonography clinic in Golestan Hospital, Ahvaz, for fatty liver evaluation. The study was carried out during May 2022 to April 2023. Liver enzymes, including alanine aminotransaminase (ALT) and Aspartate aminotransferase (AST), were measured. Based on the ultrasonography results, patients were divided into four groups: healthy, mild fatty liver, moderate fatty liver, and severe fatty liver. Ultrasonography was carried out by an experienced expert. All demographic information of patients was collected. Data were analyzed by SPSS (V25).
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Results: According to ultrasonography results, the mean of span was 148.4 ± 14.7 cm, which was significantly higher in patients with grade II of NAFLD (P<0.001). Further analysis revealed the highest difference between grades I and II (P<0.001). Also, a significant difference between grades II and III and grades III and I were found (P<0.001). Our data showed a significant relationship between body mass index (BMI) and NAFLD grades (P<0.001). The mean of BMI in grade I was significantly lower than in grades II and III (P<0.05). Our findings demonstrated that the mean of ALT in grade I was significantly lower than in grades II and III (P<0.05). In this line, the highest AST level was seen in grade III (P<0.001).
Conclusion: Our study showed that as NAFLD progresses, the enzymes and size of the liver increase. Based on ultrasound findings, the increasing liver size suggests NAFLD grade II, while the rise in AST and BMI suggests NAFLD grade II -III and progression of cirrhosis. |
Samira Shahraki , Mahmoud Tavakkoli, Abolfazl Khajavirad, Maryam Moghadam Matin , Mohammad Aslzare ,
Volume 82, Issue 1 (4-2024)
Volume 82, Issue 1 (4-2024)
Abstract
Background: A range of diseases can result in end-stage renal disease (ESRD), characterized by a gradual decline in kidney function and associated with significant morbidity and mortality. Currently, renal transplantation as the most effective treatment for managing ESRD. Tissue engineering presents a considerable opportunity to expand the available supply of donor organs for kidney transplants. The aim of this research was to develop a suitable technique for preparing decellularized kidney scaffolds from human tissues.
Methods: The present study was carried out from April 2019 to August 2019 in Mashhad University of Medical Sciences. In this study, two decellularization protocols were compared using sections of human kidney tissue. Therefore, two human kidneys which collected from Ghaem and Imam Reza hospitals were used. In the first protocol, detergents such as 1% Triton X-100 (1A) and 1% SDS (Sodium Dodecyl Sulfate) (1B) were employed, followed by the application of DNase I. The second protocol utilized 0.5% SDS (2A) and 1% SDS (2B). The effectiveness of these techniques was evaluated using hematoxylin and eosin (H&E) staining, 4',6-diamidino-2-phenylindole (DAPI), DNA quantification, and immunohistochemistry (IHC).
Methods: The present study was carried out from April 2019 to August 2019 in Mashhad University of Medical Sciences. In this study, two decellularization protocols were compared using sections of human kidney tissue. Therefore, two human kidneys which collected from Ghaem and Imam Reza hospitals were used. In the first protocol, detergents such as 1% Triton X-100 (1A) and 1% SDS (Sodium Dodecyl Sulfate) (1B) were employed, followed by the application of DNase I. The second protocol utilized 0.5% SDS (2A) and 1% SDS (2B). The effectiveness of these techniques was evaluated using hematoxylin and eosin (H&E) staining, 4',6-diamidino-2-phenylindole (DAPI), DNA quantification, and immunohistochemistry (IHC).
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Results: Based on H&E staining results, comparison of the decellularized and native human kidney tissues showed a successful elimination of cell nuclei and the ameliorate extracellular matrix preservation in triton-treated scaffolds (1A) in comparison with the SDS-treated scaffolds (1B) at all times protocols. Furthermore, DNA quantification illustrated triton X-100 in removing DNA was more effective in eliminating DNA from kidney tissues compared to other protocols in renal tissues. In addition, IHC staining demonstrated that the expression of collagen IV and laminin was preserved throughout the decellularization process with Triton X-100 on day fifth. Also, IHC staining indicated human leukocyte antigen (HLA) was completely eliminated in the cortex-medulla of human scaffolds treated with Triton X-100 within day fifth.
Conclusion: Our results demonstrated that triton X-100 outperformed SDS as a detergent for decellularizing human kidneys. Meanwhile these results indicate suitable method for decellularization of human kidneys to produce functional kidneys. |
Khadije Sohrabi, Abbas Ali Gaeini , Elham Shirzad , Shahram Khorshidi , Shahriar Nafissi, Hamid Reza Fateh,
Volume 82, Issue 4 (7-2024)
Volume 82, Issue 4 (7-2024)
Abstract
Background: Spinal Muscular Atrophy (SMA) is a neurodegenerative disorder caused by a mutation in the survival motor neuron 1 (SMN1) gene. It is classified into five types (from type 0 to 4) based on the age of onset of symptoms and maximum motor function. This autosomal recessive mutation results in progressive weakness and atrophy of the proximal muscles. Due to the high cost of treatment, the critical timing of intervention, and the varied responses of patients, many individuals do not sufficiently benefit from current therapeutic methods. This study evaluates the impact of resistance training on the quality of life and fatigue in patients with SMA type III, considering the potential benefits of such training.
Methods: The present study was developmental and semi-experimental. Fourteen ambulatory patients with SMA type III were randomly assigned to exercise and control groups. The exercise group engaged in lower limb resistance training at an intensity of 6 to 8 on an adult resistance exercise scale for 10 weeks (25 sessions). During this period, the control group maintained their usual daily activities. Patients in the exercise group did not engage in any exercise activity other than the protocol of the present study. Patients' quality of life was measured with the Short Form 36 (SF-36) questionnaire, and fatigue severity was measured with the Fatigue Severity Scale (FSS), both evaluated pre- and post-intervention. The assessments and exercises were conducted in the occupational therapy department of Shariati Hospital, Tehran, from July 2023 to September 2023.
| Results: Analysis of the results showed significant improvements (P<0.05) in the exercise group compared to the control group in the subscales of physical functioning and fatigue within the quality of life assessment. Additionally, notable differences were found between the groups on the fatigue intensity scale. However, No significant difference was observed in the patients' Body Mass Index (BMI) measurements. Conclusion: Progressive resistance training of the lower limbs enhances the quality of life and reduces fatigue in patients with SMA type III. |
Hamed Zamanian, Ahmad Shalbaf,
Volume 82, Issue 10 (1-2025)
Volume 82, Issue 10 (1-2025)
Abstract
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Background: Nonalcoholic fatty liver disease (NAFLD) represents a growing global health burden, strongly associated with rising rates of obesity, diabetes, and metabolic syndrome. This study introduces a machine learning framework to precisely diagnose NAFLD, classify disease severity, and stratify risk using routine clinical data. Our model improves early detection and risk prediction, supporting evidence-based clinical decisions. Leveraging predictive analytics, this scalable approach identifies high-risk patients and enables personalized interventions. The data-driven strategy optimizes NAFLD management by extracting maximal value from standard healthcare records, delivering both clinical and operational advantages.
Methods: This study examined 181 NAFLD patients across disease stages. The dataset was compiled from February 2010 to January 2019 at Eheim University Hospital, comprising general volunteers who were diagnosed with or without fatty liver based on histopathological evaluation of liver biopsy samples. Forward selection and mutual information identified predictive features, applied in classification models (e.g., random forest) to assess steatosis severity. Explainable AI (XAI) improved model interpretability. Combining robust feature selection, machine learning, and XAI ensured accurate, clinically actionable NAFLD severity evaluation. Results: The XGBoost classifier with forward feature selection attained a classification accuracy of 69.23%±5.5% for steatosis severity. Interpretability analysis highlighted age, Body Mass Index (BMI), High-Density Lipoprotein (HDL), Low-Density Lipoprotein (LDL), A1c Hemoglobin (HbA1c), and glutamate pyruvate transaminase (GPT) as the most impactful variables across three severity classes. Furthermore, GPT, age, BMI, HDL, HbA1c, LDL, triglycerides, and cholesterol were critical to model performance, emphasizing their diagnostic significance in NAFLD progression. These findings suggest their utility in clinical assessments and risk stratification. Conclusion: This study developed a machine learning model for accurate NAFLD diagnosis and severity stratification using routine clinical data. Accessible biomarkers reliably predicted disease progression, enabling gastroenterologists to facilitate early intervention. This cost-effective approach reduces healthcare costs while improving outcomes through precision medicine. Implementing such predictive tools in clinical practice could optimize resource allocation and enhance long-term NAFLD management. The framework supports timely diagnostics and targeted therapies, advancing patient-centered care. |
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