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Artificial intelligence (AI), encompassing machine learning (ML) and deep learning (DL), has revolutionized medical research, facilitating advancements in drug discovery and cancer diagnosis. ML identifies patterns in data, while DL employs neural networks for intricate processing. Predictive modeling challenges, such as data labeling, are addressed by transfer learning (TL), leveraging pre-existing models for faster training. TL shows potential in genetic research, improving tasks like gene expression analysis, mutation detection, genetic syndrome recognition, and genotype-phenotype association. This review explores the role of TL in overcoming challenges in mutation detection, genetic syndrome detection, gene expression, or phenotype-genotype association. TL has shown effectiveness in various aspects of genetic research. TL enhances the accuracy and efficiency of mutation detection, aiding in the identification of genetic abnormalities. TL can improve the diagnostic accuracy of syndrome-related genetic patterns. Moreover, TL plays a crucial role in gene expression analysis in order to accurately predict gene expression levels and their interactions. Additionally, TL enhances phenotype-genotype association studies by leveraging pre-trained models. In conclusion, TL enhances AI efficiency by improving mutation prediction, gene expression analysis, and genetic syndrome detection. Future studies should focus on increasing domain similarities, expanding databases, and incorporating clinical data for better predictions.
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As the world's population ages, Alzheimer's disease is currently the seventh most common cause of death globally; the burden is anticipated to increase, especially among middle-class and elderly persons. Artificial intelligence-based algorithms that work well in hospital environments can be used to identify Alzheimer's disease. A number of databases were searched for English-language articles published up until March 1, 2024, that examined the relationships between artificial intelligence techniques, eye movements, and Alzheimer's disease. A novel non-invasive method called eye movement analysis may be able to reflect cognitive processes and identify anomalies in Alzheimer's disease. Artificial intelligence, particularly deep learning, and machine learning, is required to enhance Alzheimer's disease detection using eye movement data. One sort of deep learning technique that shows promise is convolutional neural networks, which need further data for precise classification. Nonetheless, machine learning models showed a high degree of accuracy in this context. Artificial intelligence-driven eye movement analysis holds promise for enhancing clinical evaluations, enabling tailored treatment, and fostering the development of early and precise Alzheimer's disease diagnosis. A combination of artificial intelligence-based systems and eye movement analysis can provide a window for early and non-invasive diagnosis of Alzheimer's disease. Despite ongoing difficulties with early Alzheimer's disease detection, this presents a novel strategy that may have consequences for clinical evaluations and customized medication to improve early and accurate diagnosis.
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Methanol-induced optic neuropathy (MION) represents a critical public health issue, particularly prevalent in lower socioeconomic populations and regions with restricted alcohol access. MION, characterized by irreversible visual impairment, arises from the toxic metabolization of methanol into formaldehyde and formic acid, leading to mitochondrial oxidative phosphorylation inhibition, oxidative stress, and subsequent neurotoxicity. The pathogenesis involves axonal and glial cell degeneration within the optic nerve and potential retinal damage. Despite advancements in therapeutic interventions, a significant proportion of affected individuals endure persistent visual sequelae. The study comprehensively investigates the pathophysiology of MION, encompassing the absorption and metabolism of methanol, subsequent systemic effects, and ocular impacts. Histopathological changes, including alterations in retinal layers and proteins, Müller cell dysfunction, and visual symptoms, are meticulously examined to provide insights into the disease mechanism. Furthermore, preventive measures and public health perspectives are discussed to highlight the importance of awareness and intervention strategies. Therapeutic approaches, such as decontamination procedures, ethanol and fomepizole administration, hemodialysis, intravenous fluids, electrolyte balance management, nutritional therapy, corticosteroid therapy, and erythropoietin (EPO) treatment, are evaluated for their efficacy in managing MION. This comprehensive review underscores the need for increased awareness, improved diagnostic strategies, and more effective treatments to mitigate the impact of MION on global health.
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PURPOSE: We systematically reviewed the case report literature to identify cases of uveal metastases originating from thyroid cancer (TC), evaluate factors and indications in uveal metastases from TC, and provide clinical insights through recent case studies. METHODS: Web of Science, Medline, and Scopus databases were searched for case reports or series reporting uveal metastasis from a thyroid neoplasm. Articles published in any language from inception through November 2022 were searched and screened independently by two reviewers. The quality of the included studies was assessed using the JBI Critical Appraisal Checklist for Case Reports. RESULTS: A total of 1049 records were screened, resulting in the identification of 46 cases from 43 studies. The mean (SD) age at uveal metastases diagnosis was 58.44 (±17.99) years with the median (interquartile range) of 56.5 (29.75) (range, 20-83 years), with 34.8% of cases (16/46) cases reported in elderly patients (>64 years). The sample consisted of 56.5% (26/46) male patients. Uveal metastases were observed in the right eye in 16 cases, the left eye in 19 cases, and both eyes in 11 cases. Choroidal involvement was present in 84.8% of cases (39/46) cases. Papillary carcinoma was the most common thyroid cancer type (34.8%, 16/46), followed by follicular carcinoma (32.6%, 15/46), and medullary carcinoma (21.7%, 10/46). CONCLUSION: Uveal metastases have been observed to appear in metastatic TC, and physicians should approach ocular symptoms cautiously in cases that accompany a neck mass or a history of previous TC.
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Alzheimer's disease (AD) is a neurodegenerative condition that primarily affects brain tissue. Because the retina and brain share the same embryonic origin, visual deficits have been reported in AD patients. Artificial Intelligence (AI) has recently received a lot of attention due to its immense power to process and detect image hallmarks and make clinical decisions (like diagnosis) based on images. Since retinal changes have been reported in AD patients, AI is being proposed to process images to predict, diagnose, and prognosis AD. As a result, the purpose of this review was to discuss the use of AI trained on retinal images of AD patients. According to previous research, AD patients experience retinal thickness and retinal vessel density changes, which can occasionally occur before the onset of the disease's clinical symptoms. AI and machine vision can detect and use these changes in the domains of disease prediction, diagnosis, and prognosis. As a result, not only have unique algorithms been developed for this condition, but also databases such as the Retinal OCTA Segmentation dataset (ROSE) have been constructed for this purpose. The achievement of high accuracy, sensitivity, and specificity in the classification of retinal images between AD and healthy groups is one of the major breakthroughs in using AI based on retinal images for AD. It is fascinating that researchers could pinpoint individuals with a positive family history of AD based on the properties of their eyes. In conclusion, the growing application of AI in medicine promises its future position in processing different aspects of patients with AD, but we need cohort studies to determine whether it can help to follow up with healthy persons at risk of AD for a quicker diagnosis or assess the prognosis of patients with AD.
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Enfermedad de Alzheimer , Inteligencia Artificial , Retina , Humanos , Enfermedad de Alzheimer/diagnóstico , Retina/diagnóstico por imagen , Retina/patología , Enfermedades de la Retina/diagnóstico , Tomografía de Coherencia Óptica/métodos , Vasos Retinianos/patología , Vasos Retinianos/diagnóstico por imagen , AlgoritmosRESUMEN
Major depressive disorder (MDD) is a common neuropsychiatric challenge that primarily targets young females. MDD as a global disorder has a multifactorial etiology related to the environment and genetic background. A balanced gut microbiota is one of the most important environmental factors involved in human physiological health. The interaction of gut microbiota components and metabolic products with the hypothalamic-pituitary-adrenal system and immune mediators can reverse depression phenotypes in vulnerable individuals. Therefore, abnormalities in the quantitative and qualitative structure of the gut microbiota may lead to the progression of MDD. In this review, we have presented an overview of the bidirectional relationship between gut microbiota and MDD, and the effect of pre-treatments and microbiomebased approaches, such as probiotics, prebiotics, synbiotics, fecal microbiota transplantation, and a new generation of microbial alternatives, on the improvement of unstable clinical conditions caused by MDD.
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Multiple sclerosis (MS) is a complex autoimmune disease characterized by inflammatory processes, demyelination, neurodegeneration, and axonal damage within the central nervous system (CNS). Retinal imaging, particularly Optical coherence tomography (OCT), has emerged as a crucial tool for investigating MS-related retinal injury. The integration of artificial intelligence(AI) has shown promise in enhancing OCT analysis for MS. Researchers are actively utilizing AI algorithms to accurately detect and classify MS-related abnormalities, leading to improved efficiency in diagnosis, monitoring, and personalized treatment planning. The prognostic value of AI in predicting MS disease progression has garnered substantial attention. Machine learning (ML) and deep learning (DL) algorithms can analyze longitudinal OCT data to forecast the course of the disease, providing critical information for personalized treatment planning and improved patient outcomes. Early detection of high-risk patients allows for targeted interventions to mitigate disability progression effectively. As such, AI-driven approaches yielded remarkable abilities in classifying distinct MS subtypes based on retinal features, aiding in disease characterization and guiding tailored therapeutic strategies. Additionally, these algorithms have enhanced the accuracy and efficiency of OCT image segmentation, streamlined diagnostic processes, and reduced human error. This study reviews the current research studies on the integration of AI,including ML and DL algorithms, with OCT in the context of MS. It examines the advancements, challenges, potential prospects, and ethical concerns of AI-powered techniques in enhancing MS diagnosis, monitoring disease progression, revolutionizing patient care, the development of patient screening tools, and supported clinical decision-making based on OCT images.
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Inteligencia Artificial , Esclerosis Múltiple , Humanos , Retina , Algoritmos , Tomografía de Coherencia Óptica/métodos , Progresión de la EnfermedadRESUMEN
BACKGROUND: Obstructive jaundice has various causes, and one of the rarest is pancreaticoduodenal artery aneurysm (PDAA), which is often associated with celiac axis stenosis caused by median arcuate ligament syndrome (MALS). CASE PRESENTATION: The patient was a 77-year-old Azeri woman who presented with progressive jaundice, vague abdominal pain, and abdominal distension from 6 months ago. The intra- and extrahepatic bile ducts were dilated, the liver's margin was slightly irregular, and the echogenicity of the liver was mildly heterogeneous in the initial ultrasound exam. A huge cystic mass with peripheral calcification and compressive effect on the common bile duct (CBD) was also seen near the pancreatic head, which was connected to the superior mesenteric artery (SMA) and had internal turbulent blood flow on color Doppler ultrasound. According to the computed tomography angiography (CTA) findings, the huge mass of the pancreatic head was diagnosed as a true aneurysm of the pancreaticoduodenal artery caused by MALS. Two similar smaller aneurysms were also present at the huge aneurysm's superior margin. Due to impending rupture signs in the huge aneurysm, the severe compression effect of this aneurysm on CBD, and the patient's family will surgery was chosen for the patient to resect the aneurysms, but unfortunately, the patient died on the first day after the operation due to hemorrhagic shock. CONCLUSION: In unexpected obstructive jaundice due to a mass with vascular origin in the head of the pancreas, PDAA should be considered, and celiac trunk should be evaluated because the main reason for PDAA is celiac trunk stenosis or occlusion by atherosclerosis or MALS. The treatment method chosen (including transarterial embolization, open surgery, or combined method) depends on the patient's clinical status and radiological findings, but transarterial embolization would be safer and should be used as a first-line method.
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Aneurisma , Ictericia Obstructiva , Síndrome del Ligamento Arcuato Medio , Femenino , Humanos , Anciano , Síndrome del Ligamento Arcuato Medio/complicaciones , Síndrome del Ligamento Arcuato Medio/diagnóstico por imagen , Ictericia Obstructiva/diagnóstico por imagen , Ictericia Obstructiva/etiología , Constricción Patológica , Aneurisma/complicaciones , Aneurisma/diagnóstico por imagen , Aneurisma/cirugía , Arteria Celíaca/diagnóstico por imagenRESUMEN
PURPOSE: During Ramadan, millions of Muslims fast from sunrise to sunset. Fasting influences the hormonal system, sympathetic activity, blood circulation, and metabolic pathways. Because of these changes, we employed optical coherence tomography angiography (OCTA) to investigate the effects of fasting on the macula and optic nerve. METHODS: In this prospective before-and-after study, both eyes of 45 participants were examined. Vascular characteristics of the macula and optic nerve head were evaluated in the morning and evening, once before Ramadan and once on the 20th day of Ramadan. RESULTS: Compared to the non-fasting condition, fasting significantly reduced inner parafoveal retinal thickness in both eyes and total foveal retinal thickness in the left eye in the morning and evening. Fasting in the morning also considerably reduced inner foveal retinal thickness in both eyes and total parafoveal retinal thickness in the right eye. Fasting significantly reduced central choroidal flow (1 mm) in both eyes in the evening (all p-values are < 0.05). In the morning, there were significant increases in the foveal avascular zone (FAZ) area (p-value = 0.006) and deep parafoveal vascular density in the left eye (p-value = 0.001). CONCLUSION: Fasting alters both the macular characteristics and the optic nerve head, as seen in OCTA, although it did not affect participants' vision. However, further research is needed before reaching a broad conclusion.
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Mácula Lútea , Disco Óptico , Humanos , Angiografía con Fluoresceína/métodos , Vasos Retinianos/diagnóstico por imagen , Tomografía de Coherencia Óptica/métodos , Estudios Prospectivos , Mácula Lútea/irrigación sanguínea , Disco Óptico/irrigación sanguínea , AyunoRESUMEN
Chronic gallbladder disease due to xanthogranulomatous cholecystitis is uncommon, and its symptoms are generally vague. While there is no firm evidence to link xanthogranulomatous cholecystitis to primary sclerosing cholangitis or ulcerative colitis. The patient is a 41-year-old male with a history of ulcerative colitis, primary sclerosing cholangitis, and biliary stenting who complained of symptoms of anorexia, jaundice, and pruritus. In the initial ultrasound exam, there was evidence of intrahepatic and extra-hepatic bile duct dilation along with a significant and mass-like circumferential thickening of the gallbladder wall. Magnetic resonance cholangiopancreatography was performed for further evaluation, which indicated increased gallbladder wall thickness, containing multiple T2 hyper-signal nodules while the mucosal layer was intact. There was also a filling defect in the common bile duct's distal portion. These findings matched a xanthogranulomatous cholecystitis diagnosis and a possibly malignant lesion in the distal of the common bile duct. The patient ultimately had a cholecystectomy, and pathology findings confirmed the diagnosis of xanthogranulomatous cholecystitis. Biopsy specimens obtained from the distal of the common bile duct lesion were microscopically identified as intramucosal adenocarcinoma. In patients with a history of primary sclerosing cholangitis who present with nonspecific symptoms suggesting chronic gallbladder disease and radiologic evidence of circumferential gallbladder wall thickening containing intramural nodules and intact mucosa, xanthogranulomatous cholecystitis should be kept in mind.
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Cerebral gliomatosis (GC) is a rare diffuse infiltrative growth pattern of glioma with nonspecific clinical manifestations like visual impairment that may involve bilateral temporal lobes. Herpes simplex encephalitis (HSE) and limbic encephalitis (LE) can also lead to temporal lobe involvement. Differentiating these entities is necessary for patients with misleading presentations and imaging findings. To the best of our knowledge, this is the third case of GC presenting with blindness. The patient was a 35 years-old male in a drug rehabilitation center for heroin addiction. He presented with a headache, a single episode of seizure, and a 2-month history of bilateral decrease in visual acuity, which had acutely worsened. Magnetic resonance imaging (MRI) and computed tomography (CT) showed bilateral temporal lobe involvement. Ophthalmological studies showed bilateral papilledema, absence of visual evoked potential, and thickening of the retinal nerve fiber layer. Due to this clinical presentation, normal laboratory data, and suspicious MRI findings, further investigation with magnetic resonance spectroscopy (MRS) was performed. Results showed a greatly increased ratio of choline to creatinine(Cr) or N-acetyl aspartate (NAA), suggesting a neoplastic nature of the disease. Subsequently, the patient was referred for a brain tissue biopsy with a suspicion of malignancy. The pathology results revealed adult-type diffuse glioma with isocitrate dehydrogenase (IDH) mutation. Bilateral blindness, as well as bilateral temporal lobe involvement, each has many different causes. However, as demonstrated in this study, adult-type diffuse glioma must be considered a rare cause of concomitant bilateral temporal lobe involvement and blindness.
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INTRODUCTION: In countries where alcoholic beverages are legally prohibited, methanol toxicity usually occurs due to ingesting homemade alcoholic drinks. The initial ophthalmologic symptoms of methanol toxicity typically appear 6-48 h after ingestion, and the severity of symptoms varies widely from mild and painless decreased vision to no-light perception vision. METHODS: This prospective study examines 20 patients with acute methanol poisoning within 10 days of use. Patients underwent ocular examinations, BCVA (Best Corrected Visual Acuity) recording, and OCTA (Optical Coherence Tomography Angiography) of the macula and optic disc. BCVA measurement and imaging were repeated one month and three months after intoxication. RESULTS: There was a statistically significant reduction in superficial parafoveal vascular density (P-value = 0.026), inner retinal thickness (P-value = 0.022), RNFL (Retinal Nerve Fiber Layer) thickness (P-value = 0.031), and an increase in cup to disc ratio (P-value < 0.001), and central visual acuity (P-value = 0.002) in this time course. However, there was no statistically significant difference in FAZ (Foveal Avascular Zone) area (P-value = 0.309), FAZ perimeter (P-value = 0.504), FD-300 (Foveal density, vascular density within a 300 µm wide region of the FAZ) (P-value = 0.541), superficial vascular density (P-value = 0.187), deep foveal vascular density (P-value = 0.889), deep parafoveal vascular density (P-value = 0.830), choroidal flow area (P-value = 0.464), total retinal thickness (P-value = 0.597), outer retinal thickness (P-value = 0.067), optic disc whole image vascular density (P-value = 0.146), vascular density inside the disc (P-value = 0.864), or peripapillary vascular density (P-value = 0.680) at different times. CONCLUSION: Over time, methanol poisoning can cause changes in retinal layers thickness, vasculature, and optic nerve head. The most important changes include cupping of the optic nerve head, reduction in RNFL thickness, and inner retinal thickness.
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Metanol , Enfermedades del Nervio Óptico , Humanos , Tomografía de Coherencia Óptica/métodos , Estudios Prospectivos , Vasos Retinianos/diagnóstico por imagen , Estudios de Casos y Controles , Angiografía/métodos , Angiografía con Fluoresceína/métodosRESUMEN
Literature review suggests that surgery is the only option for dealing with intraperitoneal foreign bodies (laparoscopy and laparotomy). We showed that an interventional method using ultrasound guidance could be considered alongside surgical options.
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BACKGROUND: Bilateral ectopic pregnancy is extremely rare, with a tremendous maternal mortality and morbidity risk, requiring rapid diagnosis and management. This condition is usually diagnosed during surgery, as radiologists may not pay enough attention to the contralateral side of interest. Therefore, reminding of this rare but emergent situation can be beneficial for both radiologists and gynecologists. Here we report a case of bilateral ectopic pregnancy, which was first diagnosed with ultrasound and was confirmed during laparoscopy. CASE PRESENTATION: A 34 years old woman complaining of light vaginal bleeding at 6 weeks of gestation by her last menstrual period presented to our institute. The serum ß-HCG levels were analyzed and followed during patient's admission. Unfortunately, serum levels weren't decreasing and blood test titration before surgery were as: 851,894,975 IU/l (checked daily and not every 48 h because of patient's status and being bilateral). There was no evidence of intrauterine pregnancy at the transvaginal ultrasound, but heterogeneous adnexal masses were seen at both adnexa, suspected of bilateral ectopic pregnancy. She underwent laparoscopic exploration, which confirmed the diagnosis. Bilateral salpingostomy was done to preserve fertility, and the patient's recovery was uneventful. CONCLUSIONS: Even with a unilateral report of ectopic pregnancy preoperatively in ultrasonography, surgeons should always be aware of the probability of bilateral ectopic pregnancies anytime facing susceptible cases, especially in patients with known risk factors. Also, it is an important reminder for radiologists to check both adnexa when facing a unilateral adnexal mass resembling ectopic pregnancy.
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Embarazo Ectópico , Embarazo Tubario , Embarazo , Femenino , Humanos , Adulto , Embarazo Tubario/diagnóstico por imagen , Embarazo Tubario/cirugía , Embarazo Ectópico/diagnóstico por imagen , Embarazo Ectópico/cirugía , Ultrasonografía/efectos adversos , Salpingostomía/efectos adversos , Hemorragia Uterina/etiologíaRESUMEN
Purpose: In this systematic review and meta-analysis, we investigated the effect and side effects of Citrullus colocynthis on glycemic factors and lipid profile in diabetic patients. Methods: We systematically searched English and Persian databases from inception till August 2021 using Medical Subject Headings (MeSH). Two authors independently extracted data and assessed the quality of studies. The standardized mean differences were pooled using fixed-effect models, and statistical heterogeneity was assessed using the I squared (I²) index. Results: Of the 321 articles searched in the databases, 136 related articles were screened, 14 relevant full-text articles were assessed for eligibility; finally, four articles were included in the study, three articles were entered into the meta-analysis. The results of the meta-analysis indicated that Citrullus colocynthis does not have a significant effect on fasting blood sugar (FBS), hemoglobin A1c (HBA1c), low-density lipoprotein (LDL), total cholesterol, and triglyceride indices but increases high-density lipoprotein (HDL) (Mean Difference: 5.76; 95% CI: 1.69 to 9.84; P = 0.006; I2 = 0%). Conclusions: The meta-analysis results showed that Citrullus colocynthis has no significant effect on glycemic and metabolic indices of diabetes - except HDL. Due to the relatively low quality and the small number of included trials, conducting further large scale well-designed randomized clinical trials to determine the effect of Citrullus colocynthis on glycemic and metabolic indices seems essential. Supplementary information: The online version contains supplementary material available at 10.1007/s40200-022-01045-9.