Deployment of an Artificial Intelligence Histology Tool to Aid Qualitative Assessment of Histopathology Using the Nancy Histopathology Index in Ulcerative Colitis.

Background: Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by increased stool frequency, rectal bleeding, and urgency. To streamline the quantitative assessment of histopathology using the Nancy Index in UC patients, we developed a novel artificial intelligence (AI) tool based on deep learning and tested it in a proof-of-concept trial. In this study, we report the performance of a modified version of the AI tool.

Automatic analysis of nuclear features reveals a non-tumoral predictor of tumor grade in bladder cancer.

Background & Objectives: Tumor grade determines prognosis in urothelial carcinoma. The classification of low and high grade is based on nuclear morphological features that include nuclear size, hyperchromasia and pleomorphism. These features are subjectively assessed by the pathologists and are not numerically measured, which leads to high rates of interobserver variability.

Algorithm-assisted diagnosis of Hirschsprung's disease - evaluation of robustness and comparative image analysis on data from various labs and slide scanners.

Background: Differences in the preparation, staining and scanning of digital pathology slides create significant pre-analytic variability. Algorithm-assisted tools must be able to contend with this variability in order to be applicable in clinical practice. In a previous study, a decision support algorithm was developed to assist in the diagnosis of Hirschsprung's disease.

Designing robots that do no harm: understanding the challenges of Ethics Robots.

This article describes key challenges in creating an ethics "for" robots. Robot ethics is not only a matter of the effects caused by robotic systems or the uses to which they may be put, but also the ethical rules and principles that these systems ought to follow-what we call "Ethics for Robots." We suggest that the Principle of Nonmaleficence, or "do no harm," is one of the basic elements of an ethics for robots-especially robots that will be used in a healthcare setting.

Short Training Significantly Improves Ganglion Cell Detection Using an Algorithm-Assisted Approach.

Context.—: Medical education in pathology relies on the accumulation of experience gained through inspection of numerous samples from each entity. Acquiring sufficient teaching material for rare diseases, such as Hirschsprung disease (HSCR), may be difficult, especially in smaller institutes.

Automatic ganglion cell detection for improving the efficiency and accuracy of hirschprung disease diagnosis.

Histopathologic diagnosis of Hirschsprung's disease (HSCR) is time consuming and requires expertise. The use of artificial intelligence (AI) in digital pathology is actively researched and may improve the diagnosis of HSCR. The purpose of this research was to develop an algorithm capable of identifying ganglion cells in digital pathology slides and implement it as an assisting tool for the pathologist in the diagnosis of HSCR.

Geographic Heterogeneity for Mismatch Repair Proteins Is Associated with Defects in DNA Repair.

Background: Evaluation of mismatch repair (MMR) deficiency is conducted via immunohistochemistry or by microsatellite instability (MSI) analysis. Heterogeneous immunohistochemistry staining for MMR proteins may show different patterns; however, according to current guidelines, all of those patterns should be interpreted as MMR proficient. This conclusion might lead to false negative results because although most cases of heterogeneity stem from technical factors and biological variability, other types of heterogeneity represent true MMR deficiency.

Can We Prevent Stillbirth?

Objective: This study aimed to identify the frequency of potentially preventable causes of stillbirth in a large heterogeneous population.

Study Design: This is a retrospective study of all stillbirth cases between January 2011 and December 2016 at a single tertiary medical center. Deliveries resulting from a nonviable fetus prior to 24 weeks of gestation, intrapartum fetal death, and incomplete stillbirth workup were excluded.

Surgery for Recurrent High-Grade Glioma After Treatment with Bevacizumab.

Background: Bevacizumab (BVZ) is an antiangiogenic agent approved by the Food and Drug Administration that is used for the treatment of recurrent glioblastoma. Complications related to impaired healing may adversely affect patients resected for recurrent high-grade glioma (HGG) after treatment with BVZ.

Objective: To examine the complication rate, outcome, and tumor vasculature in patients resected for recurrent HGG after treatment with BVZ.

Correlation between the presence of KRAS mutation and the morphometric characteristics of colorectal carcinoma cell nuclei.

Objective: To determine whether there is an association between KRAS status and changes in nuclear morphometric properties.

Study Design: A total of 60 cases were included in the analysis. Thirty cases carried a mutated KRAS oncogene, while 30 bore a wild-type KRAS gene.