Human-Centered Explainable Artificial Intelligence for Anomaly Detection in Quality Inspection: A Collaborative Approach to Bridge the Gap Between Humans and AI

In the quality inspection industry, the use of Artificial Intelligence (AI) continues to advance to produce safer and faster autonomous systems that can perceive, learn, decide, and act independently. As observed by the researcher interacting with the local energy company over a one-year period, these AI systems’ performance is limited by the machine’s current inability to explain its decisions and actions to human users. Especially in energy companies, eXplainable-AI (XAI) is critical to achieve speed, reliability, and trustworthiness with human inspection workers. Placing humans alongside AI will establish a sense of trust that augments the individual’s capabilities at the workplace. To achieve such an XAI system centered around humans, it is necessary to design and develop more explainable AI models. Incorporating these XAI systems centered around human workers in the inspection industry brings a significant shift in conducting visual inspections. Adding this explainability factor to the AI intelligent inspection systems makes the decision-making process more sustainable and trustworthy by bringing a collaborative approach. Currently, there is a lack of trust between the inspection workers and AI, creating uncertainty among inspection workers about the use of the existing AI models. To address this gap, the purpose of this qualitative research study was to explore and understand the need for human-centered XAI systems to detect anomalies in quality inspection in energy industries

DNA detection in tooth exposed to different temperatures: An in vitro study

Introduction: Human identification is an important field of study and research in forensic science and aims at establishing human identity. Several biological materials such as bone, hair, a biopsy sample, saliva and blood have been employed in isolation of DNA for human identification. It is possible to obtain DNA from virtually all human body tissues with variations in the quantity and quality of the DNA extracted from each tissue. Aims and Objectives: A study was carried out in our department to detect the presence of DNA from burnt teeth samples at various temperatures and to highlight the importance of DNA obtained from tooth in identifying a deceased in fire accidents. Materials and Methods: The work included 13 extracted teeth of patients who were indicated for therapeutic extraction and those who were diagnosed clinically and radiographically with caries and periodontitis who were indicated for extraction. Out of the 13 extracted teeth, two were decayed (One had class I dental caries C 1 and the other was grossly decayed C 2 ), four were periodontally compromised teeth and the other seven were therapeutically extracted. The freshly extracted teeth were immediately subjected to varying temperatures, from 100°C to 800°C using a Delta burnout furnace for 15-20 minutes. They were cryogenically crushed using a mortar and pestle to make samples of the tooth, which were analysed for DNA. Results: When teeth were incinerated from 100°C-800°C, genomic DNA was obtained only between 100°C and 300°C whereas it was not obtained above this temperature. When the teeth were incinerated from 300°C to 800°C mtDNA was extracted from 300°C to 700°C, but no DNA was obtained above 700°C. Conclusion: Teeth are good sources for DNA, even in cases where the specimens are highly decomposed

Prophylactic Catheter Ablation of Ventricular Tachycardia in Ischemic Cardiomyopathy: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

BACKGROUND: Catheter ablation is proven to be an effective strategy for drug refractory ventricular tachycardia (VT) in ischemic cardiomyopathy. However, the appropriate timing of VT ablation and identifying the group of patients that may receive the greatest benefit remains uncertain. There is limited data on the effect on prophylactic catheter ablation (PCA) in the prevention of implantable cardioverter defibrillator (ICD) therapy, electrical storm, and mortality. METHODS: We performed a comprehensive literature search through November 1, 2017, for all eligible studies comparing PCA + ICD versus ICD only in eligible patients with ischemic cardiomyopathy. Clinical outcomes included all ICD therapies including ICD shocks and electrical storm. Additional outcomes included all-cause mortality, cardiovascular mortality, and complications. RESULTS: Three randomized controlled trials (RCTs) (N = 346) met inclusion criteria. PCA was associated with a significantly lower ICD therapies (OR 0.49; CI 0.28 to 0.87; p = 0.01) including ICD shocks [OR 0.38; CI 0.22 to 0.64; p = 0.0003) and electrical storm (OR 0.55; CI 0.30 to 1.01; p = 0.05) when compared with ICD only. There was no significant difference in all-cause mortality (OR 0.77; CI 0.41 to 1.46; p = 0.42), cardiovascular mortality (OR 0.49; CI 0.16 to 1.50; p = 0.21), and major adverse events (OR 1.45; CI 0.52 to 4.01; p = 0.47) between two groups. CONCLUSION: These results suggest prophylactic catheter ablation decreases ICD therapies, including shocks and electrical storm with no improvement in overall mortality. There is a need for future carefully designed randomized clinical trials