Deep learning for sex determination: Analyzing over 200,000 panoramic radiographs

The objective of this study is to assess the performance of an innovative AI-powered tool for sex determination using panoramic radiographs (PR) and to explore factors affecting the performance of the convolutional neural network (CNN). The study involved 207,946 panoramic dental X-rays and their corresponding reports from 15 clinical centers in São Paulo, Brazil. The PRs were acquired with four different devices, and 58% of the patients were female. Data preprocessing included anonymizing the exams, extracting pertinent information from the reports, such as sex, age, type of dentition, and number of missing teeth, and organizing the data into a PostgreSQL database. Two neural network architectures, a standard CNN and a ResNet, were utilized for sex classification, with both undergoing hyperparameter tuning and cross-validation to ensure optimal performance. The CNN model achieved 95.02% accuracy in sex estimation, with image resolution being a significant influencing factor. The ResNet model attained over 86% accuracy in subjects older than 6 years and over 96% in those over 16 years. The algorithm performed better on female images, and the area under the curve (AUC) exceeded 96% for most age groups, except the youngest. Accuracy values were also assessed for different dentition types (deciduous, mixed, and permanent) and missing teeth. This study demonstrates the effectiveness of an AI-driven tool for sex determination using PR and emphasizes the role of image resolution, age, and sex in determining the algorithm's performance.     

Fatal poisoning due to ingestion of boiled oleander leaf extract

Nerium oleander is an ornamental evergreen shrub belonging to the family Apocynaceae. The Apocynaceae family includes the attractive evergreen shrub known as oleander. The cardiotoxic glycoside, oleandrin, is present in all portions of the common oleander plant. Oleander consumption can result in deadly situations accidentally or as a suicide attempt. After consuming kettle-boiled oleander leaf extract as part of a suicide attempt, an 80-year-old man was discovered comatose in his home and taken to our emergency room. The patient's heart rate was 30 beats per minute, and he had hypotension. Arterial blood gas analysis revealed remarkable metabolic acidosis and hyperkalemia (K: 7.7 mEq/L). An electrocardiogram showed a wide QRS wave, similar to a sine curve. The patient collapsed following cardiac arrest soon after hospital arrival. Veno-arterial extracorporeal membrane oxygenation was initiated; however, the patient eventually died. The serum level of oleandrin at hospital arrival, subsequently measured by LC–MS/MS, was found to be 33.4 ng/mL, far above the levels reported in previous fatal cases.     

Death From Butane Inhalation Abuse in Teenagers: Two New Case Studies and Review of the Literature

The ready availability of butane makes butane abuse frequent. Fatalities are rare. This study presents two cases of death by butane overdose. The postmortem analyses were carried out using headspace gas chromatography–mass spectrometry. It revealed femoral blood butane concentrations of 18 and 22 mg/L, respectively, as well as specific combinations of adjuvants in each victim. In one of the victims, brain and fatty tissue also contained butane, pointing to chronic consumption. The originality of this study is to show that the identification of specific combinations of adjuvants can be helpful for identifying the brand of deodorant used. Also, sampling the skin and mucosa can help identify the method of drug delivery. The histological examination documented both the direct toxic effect of the gas on the respiratory mucosa and signs of chronic abuse. Volatile substance intoxications should be systematically considered in case of sudden death in a teenager.     

Shelter Poverty in Ohio: An Alternative Analysis of Rental Housing Affordability

ABSTRACT

In the United States, housing is most commonly considered unaffordable when a household spends more than 30% of income on housing and utilities. Although easy to calculate, it fails to account for how other categories of essential expenses affect income available to spend on housing. This article compares the ratio-based approach with shelter poverty, a measure that accounts for these elements, evaluating differences in results between the two methods among renters in Ohio. Shelter poverty identifies a higher rate of households in economic distress due to housing market conditions. Further, the average “affordability gap” is four times higher using the shelter poverty than with the 30% threshold. Relative to shelter poverty, the ratio method underestimates the unaffordability of rental housing in economically distressed areas, as measured by median household income, and modestly overestimates it in high-income areas.