Encircling scleral buckling impact on ocular accommodation changes in patients with rhegmatogenous retinal detachment.

Background: Encircling scleral buckling is a surgical intervention employed for the purpose of visual restoration in individuals diagnosed with rhegmatogenous retinal detachment (RRD). While this particular approach is not commonly used for the purpose of enhancing accommodation, it has garnered attention in various studies. This research aimed to objectively measure accommodation changes using the iTrace device in patients with RRD who have undergone encircling scleral buckling surgery.

The effect of digital devices screen use on intraocular pressure: A systematic review and meta-analysis.

Purpose: The widespread adoption of digital screens has raised concerns about potential impacts on ocular health, particularly intraocular pressure (IOP). This systematic review and meta-analysis aimed to examine the association between digital screen use and changes in IOP.

Methods: We conducted a comprehensive search across multiple electronic databases through January 2024, and reported adhering to PRISMA guidelines.

Artificial intelligence for early detection of diabetes mellitus complications via retinal imaging.

Background: Diabetes mellitus (DM) increases the risk of vascular complications, and retinal vasculature imaging serves as a valuable indicator of both microvascular and macrovascular health. Moreover, artificial intelligence (AI)-enabled systems developed for high-throughput detection of diabetic retinopathy (DR) using digitized retinal images have become clinically adopted. This study reviews AI applications using retinal images for DM-related complications, highlighting advancements beyond DR screening, diagnosis, and prognosis, and addresses implementation challenges, such as ethics, data privacy, equitable access, and explainability.

Explainable Artificial Intelligence in Neuroimaging of Alzheimer's Disease.

Alzheimer's disease (AD) remains a significant global health challenge, affecting millions worldwide and imposing substantial burdens on healthcare systems. Advances in artificial intelligence (AI), particularly in deep learning and machine learning, have revolutionized neuroimaging-based AD diagnosis. However, the complexity and lack of interpretability of these models limit their clinical applicability.

Artificial intelligence in stroke risk assessment and management via retinal imaging.

Retinal imaging, used for assessing stroke-related retinal changes, is a non-invasive and cost-effective method that can be enhanced by machine learning and deep learning algorithms, showing promise in early disease detection, severity grading, and prognostic evaluation in stroke patients. This review explores the role of artificial intelligence (AI) in stroke patient care, focusing on retinal imaging integration into clinical workflows. Retinal imaging has revealed several microvascular changes, including a decrease in the central retinal artery diameter and an increase in the central retinal vein diameter, both of which are associated with lacunar stroke and intracranial hemorrhage.

Retinal thickness and vascular density changes in Keratoconus: A systematic review and meta-analysis.

Purpose: This systematic review and meta-analysis aimed to assess the changes in retinal layer thickness and vascular density in patients diagnosed with keratoconus (KC).

Methods: We conducted a thorough search in PubMed, Scopus, Embase, and Web of Science, encompassing all observational studies from January 1990 to February 2024. We analyzed the data using STATA software 17 and the random effects model with the restricted maximum likelihood (REML) or maximum likelihood (ML) method to pool the standardized mean difference (SMD) and the weighted mean difference (WMD) of retinal thickness and vascular density compared to non-KC eyes.

The significance of exosomal non-coding RNAs (ncRNAs) in the metastasis of colorectal cancer and development of therapy resistance.

Colorectal cancer (CRC) represents a common type of carcinoma with significant mortality rates globally. A primary factor contributing to the unfavorable treatment outcomes and reduced survival rates in CRC patients is the occurrence of metastasis. Various intricate molecular mechanisms are implicated in the metastatic process, leading to mortality among individuals with CRC.

Therapeutic role of erythropoietin in methanol induced optic neuropathy: a systematic review.

Purpose: Despite various therapeutic attempts, an approved treatment for Methanol-induced optic neuropathy (MION), a sight-threatening disorder, is still lacking. Erythropoietin known as an erythropoietic cytokine, possesses various non-hematopoietic properties that make it a candidate for MION treatment. This systematic review aims to assess the potential therapeutic role of erythropoietin in MION.

Probing and nasolacrimal intubation outcomes in children over 18 Months of age with congenital nasolacrimal duct obstruction.

Purpose: To evaluate how risk factors impact success rates of initial probing and nasolacrimal duct (NLD) tube intubation in children over 18 months of age with congenital nasolacrimal duct obstruction (CNLDO).

Methods: This cohort study included 98 CNLDO patients aged 18 months to 10 years who underwent NLD probing with stent insertion. We employed the multivariate frailty model as our final model to conceptually elaborate on our correlated eye data, with the primary outcome measure evaluating the success rates of probing and tube intubation.

Transfer Learning in Cancer Genetics, Mutation Detection, Gene Expression Analysis, and Syndrome Recognition.

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.

Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis.

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.

Uveal metastasis arising from thyroid neoplasms: A case study synthesis.

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.

Retinal imaging and Alzheimer's disease: a future powered by Artificial Intelligence.

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.

The Gut Microbiota and Major Depressive Disorder: Current Understanding and Novel Therapeutic Strategies.

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.

Artificial Intelligence for Multiple Sclerosis Management Using Retinal Images: Pearl, Peaks, and Pitfalls.

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.

Obstructive jaundice as a rare complication of multiple pancreaticoduodenal artery aneurysms due to median arcuate ligament syndrome: a case report and review of the literature.

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.

Evaluating macular and optic nerve changes during Ramadan fasting by optical coherence tomography angiography-a prospective before-and-after study.

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.

Xanthogranulomatous cholecystitis in a patient with ulcerative colitis and primary sclerosing cholangitis: A case report.

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.

Gliomatosis cerebri with blindness: A case report with literature review.

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.

Time course study of optical coherence tomography angiography in patients with methanol induced optic neuropathy.

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.

Ultrasound-guided interventional approach to intraperitoneal nail gun injury: A case report with literature review.

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.

Spontaneous bilateral tubal ectopic pregnancy preoperatively diagnosed by the ultrasound: a case report.

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.

Effect of on glycemic factors and lipid profile in type II diabetic patients: a systematic review and meta-analysis.

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.