Hyphaema is the presence of blood in the anterior chamber (AC) of the eye and is commonly caused by a blunt ocular trauma. In this case report, we discuss a case of a 29-years-old African man presented to the emergency department with severe right ocular pain and blurry vision following a blunt injury. This is a teaching case report aimed to discuss the management options, potential complications and visual prognosis of this particular case.Full article

Giant cell arteritis (GCA) with ocular involvement is an emergency condition, and treatment with glucocorticoids should be provided immediately upon clinical suspicion of GCA to prevent potential blindness. In this case report, we discuss a case of a 70-years-old Caucasian male presented to the emergency department with one day sudden onset of double vision. This is a teaching case report aimed to discuss the management options, potential complications and visual prognosis of this particular case.Full article

To report a case of a major branch retinal vein occlusion (BRVO) in the superotemporal region with superior macular involvement and a review of its natural history. This is a retrospective case presentation of a 49-year-old African Caribbean female patient presented to Accident and Emergency with unilateral persistent acute history of reduced central vision of left eye for 10 days with no other associated symptoms. Treatment options included using scatter (pan-retinal) laser photocoagulation followed by intravitreal injections as the area of non-perfusion is >5-disc area. It is warranted to understand the risk factors associated with BRVO and to develop appropriate treatment and follow-up plans.Full article

Emotional regulation of children and adolescents is a very important process for their development. Emotional self-regulation encouraged the children and adolescents to control aggressive emotional outbursts. This study purpose is to exam the effect of emotional self-regulation on the life quality of children and adolescents with traumatic experiences. A systematic review was conducted to examine research on effect of low emotional self-regulation on the life quality among children and adolescents with traumatic experiences. The initial search generated 1.245 research articles, 170 of which were reviewed for detailed evaluation; ultimately, 11 research articles published in the period 2012-2021 were included. Children and adolescents with traumatic experiences all over the world samples were the most represented in research articles. It used thematic synthesis to combine the research articles of low emotional self-regulation on the life quality among children and adolescents with traumatic experiences and identified key themes to explore in the impact studies. Across 11 articles, regardless of the traumatic type of event, it was found that children and adolescents’ low self-regulation affects their ability to express themselves in a functional and productive way. Negative accumulated emotions, which do not externalize sexually and physically abused children and adolescents with low emotional self-regulation gradually lead to some type of emotional disconnection. In conclusion, sexual, physical abuse and war-refugee situations in childhood are more associated with the onset of post - traumatic stress disorder, emotional disorders and difficulties in self - regulation of emotions.Full article

Artificial intelligence systems have been previously used to predict post-operative complications in small studies and single institutions. Here we developed a robust artificial intelligence model that predicts the risk of having cardiac, pulmonary, thromboembolic, or septic complications after elective, non-cardiac, non-ambulatory surgery. We combined structured and unstructured electronic health record data from 3.5 million surgical encounters from 25 medical centers between 2009 and 2017. Our neural network model predicted postoperative comorbidities 15 to 80 times faster than classical models. As such, our model can be used to assess the risk of having a specific complication postoperatively in a fraction of a second. With our model, we believe clinicians will be able to identify high-risk surgical patients and use their good judgment to mitigate upcoming risks, ultimately improving patient outcomes [1].Full article

This essay explores how AI can enhance clinical research and, particularly, its pivotal role in the development of medical devices. A data-driven approach to medical device development that can streamline regulatory compliance and quality assurance is discussed. Methods that generate insights from pre-stage data and utilize it during development are detailed. The effectiveness of this approach in compliance audits, 510(k) submissions, and quality system audits - reducing time, effort, and risks is analyzed. The findings are illustrated with practical examples and takeaway recommendations. When reading a scientific article, how many times have you judged the quality of the research by looking at the methodology section? Artificial intelligence algorithms can be developed with the most robust and innovative technology, but if they are not properly validated, they will be worthless in the eyes of regulatory authorities. Conversely, outdated and simplistic models can still gain regulatory clearance if robustness is effectively demonstrated. For better or worse, ethics, economics, and robustness are often sacrificed in the constant government struggle to keep up with the technological edge of AI development. The slow crawl of lawmakers is constant in every field. Automating small tasks can save time and reduce risks when playing catch-up with a changing regulatory framework so the rest of the AI development can continue uninhibitedly. This dives into using FDA open data to collaborate with a food and drug law company and develop several bottom-up initiatives that supply knowledge needed for regulatory compliance and quality systems development. Methods that input pre-stage data and output actionable insights as models are provided. By sharing these resources and advice as academic researchers, efficiency in streamlining processes is maximized, thereby letting more time and resources be allocated to the actual development [1].Full article

The complexity of manufacturing photolithography has increased significantly. The increase in the level of integration has driven smaller feature-sized integrated circuits (ICs). The evolution in stepper technologies has been geometric. This has enabled the printing of printed ICs with a 45 nm feature size. Improvement in lithographic technology is moving towards 32 nm. This feature-size roadmap poses many challenges to semiconductor manufacturing technology. Advanced photomask synthesis, high-NA steppers, and computational lithography are some examples of the solution space. Optical proximity correction (OPC) and model-based optical proximity correction (MBOPC) are subsets of this solution space. OPC has matured significantly and is the de facto solution for manufacturing photomasks up to the 65 nm node. The OPC technique has been further refined as model-based OPC and has been applied to advanced printing technology of 45 nm. The OPC solution for 45 nm technology has limitations of mask rule check (MRC) and manufacturability restrictions. These restrictions are inevitable in OPC and MBOPC solutions because of the limits in lithographic technology. The technology evolution towards 32 nm has equally challenged the non-linear treatment of wafer-level problems in OPC solutions. PBOPC has limitations in reducing the wafer optical proximity error of the granny's issue, edge placement, mask rule check, etc. PBOPC also has limitations in reducing the mask error enhancement factor. With all these challenges, it is still a formidable solution methodology to address the wafer and mask level issues. Such a formidable solution architecture can result in a limited number of PBOPC solutions. This text looks at the performance of advanced PBOPC features on exposure tuning and the effects of higher-order wafer and aerial image effects. This text also discusses the performance of continuous process correction of masks, lenses, and scanners.Full article