Assessment of Efficacy and Accuracy of Cervical Cytology Screening With Artificial Intelligence Assistive System.

The role of artificial intelligence (AI) in pathology offers many exciting new possibilities for improving patient care. This study contributes to this development by identifying the viability of the AICyte assistive system for cervical screening, and investigating the utility of the system in assisting with workflow and diagnostic capability. In this study, a novel scanner was developed using a Ruiqian WSI-2400, trademarked AICyte assistive system, to create an AI-generated gallery of the most diagnostically relevant images, objects of interest (OOI), and provide categorical assessment, according to Bethesda category, for cervical ThinPrep Pap slides. For validation purposes, 2 pathologists reviewed OOIs from 32,451 cases of ThinPrep Paps independently, and their interpretations were correlated with the original ThinPrep interpretations (OTPI). The analysis was focused on the comparison of reporting rates, correlation between cytological results and histologic follow-up findings, and the assessment of independent AICyte screening utility. Pathologists using the AICyte system had a mean reading time of 55.14 seconds for the first 3000 cases trending down to 12.90 seconds in the last 6000 cases. Overall average reading time was 22.23 seconds per case compared with a manual reading time approximation of 180 seconds. Usage of AICyte compared with OTPI had similar sensitivity (97.89% vs 97.89%) and a statistically significant increase in specificity (16.19% vs 6.77%) for the detection of cervical intraepithelial neoplsia 2 and above lesions. When AICyte was run alone at a 50% negative cutoff value, it was able to read slides with a sensitivity of 99.30% and a specificity of 9.87%. When AICyte was run independently at this cutoff value, no sole case of high-grade squamous intraepithelial lesions/squamous cell carcinoma squamous lesion was missed. AICyte can provide a potential tool to help pathologists in both diagnostic capability and efficiency, which remained reliable compared with the baseline standard. Also unique for AICyte is the development of a negative cutoff value for which AICyte can categorize cases as "not needed for review" to triage cases and lower pathologist workload. This is the largest case number study that pathologists reviewed OOI with an AI-assistive system. The study demonstrates that AI-assistive system can be broadly applied for cervical cancer screening.

Tuning the limiting thickness of a thin oxide layer on Al(111) with oxygen gas pressure.

We report an x-ray photoelectron spectroscopy study of the oxidation of Al(111) surfaces at room temperature, which reveals that the limiting thickness of an aluminum oxide film can be tuned by using oxygen pressure. This behavior is attributed to a strong dependence of the kinetic potential on the oxygen gas pressure. The coverage of oxygen anions on the surface of the oxide film depends on the gas pressure leading to a pressure dependence of the kinetic potential. Our results indicate that a significantly large oxygen pressure (>1 Torr) is required to develop the saturated surface coverage of oxygen ions, which results in the maximum kinetic potential and therefore the saturated limiting thickness of the oxide film.

Public compliance with mass prophylaxis guidance.

In 2008, the New York City Department of Health and Mental Hygiene (NYC DOHMH) conducted a series of 8 focus groups to determine what improvements could be made to existing plans to ensure that the public would adhere to instructions issued during an emergency that required mass antibiotic distribution following an aerosolized anthrax attack. Discussion focused on perceptions surrounding public health emergencies, overall point-of dispensing (POD) strategy, willingness to pick up medications for others, and additional information that participants would need before and during an emergency. Participation in each group ranged from 7 to 10 members. Most participants indicated a willingness to actively participate in emergency response and to follow directions issued by authorities. Some said they would wait to see how others reacted to medication being provided before taking theirs. Participants expressed a universal desire for education on both dispensing plans and diseases before an incident occurs. They expressed concerns about anxiety levels among the public and maintaining adequate security at dispensing sites, though they felt that NYC's plans were generally realistic. The most trusted sources identified to disseminate information were the mayor, the city health commissioner, and a local cable news channel. While many participants indicated they would use the internet to find information during an emergency, multiple delivery methods must be used to ensure the broadest reach within the community, as not everyone has internet access. Health authorities must partner with the public before, during, and after an emergency to achieve the best possible outcomes from a response effort that relies greatly on public cooperation.