No abstract

No abstract

User trust in Artificial Intelligence (AI) enabled systems has been increasingly recognized and proven as a key element to fostering adoption. It has been suggested that AI-enabled systems must go beyond technical-centric approaches and towards embracing a more human-centric approach, a core principle of the human-computer interaction (HCI) field. This review aims to provide an overview of the user trust definitions, influencing factors, and measurement methods from 23 empirical studies to gather insight for future technical and design strategies, research, and initiatives to calibrate the user-AI relationship. The findings confirm that there is more than one way to define trust. Selecting the most appropriate trust definition to depict user trust in a specific context should be the focus instead of comparing definitions. User trust in AI-enabled systems is found to be influenced by three main themes, namely socio-ethical considerations, technical and design features, and user characteristics. User characteristics dominate the findings, reinforcing the importance of user involvement from development through to monitoring of AI-enabled systems. Different contexts and various characteristics of both the users and the systems are also found to influence user trust, highlighting the importance of selecting and tailoring features of the system according to the targeted user group's characteristics. Importantly, socio-ethical considerations can pave the way in making sure that the environment where user-AI interactions happen is sufficiently conducive to establish and maintain a trusted relationship. In measuring user trust, surveys are found to be the most common method followed by interviews and focus groups. In conclusion, user trust needs to be addressed directly in every context where AI-enabled systems are being used or discussed. In addition, calibrating the user-AI relationship requires finding the optimal balance that works for not only the user but also the system.

P63 is a gene product required in cell cycle regulation which plays vital roles in tumor differentiation. Aims of the present study were to assess the frequency, pattern, sensitivity and specificity of two p63 protein clones P63 4A4 and P63 4A4+Y4A3 in squamous cell carcinomas (SCCs). Thirty cases of head and neck region SCC diagnosed on the basis of H&E staining were examined along with 60 cases of head and neck region biopsies other than squamous cell carcinoma, negative on H&E staining, were taken as control. Immunostaining was performed on slides according to the Thermo Scientific UltraVision LP detection System. P63 4A4+Y4A3 clone is more sensitive 96.6% in comparison to 86% in P63 4A4 with having greater NPV of 98.3%. The results signify the importance of P63 4A4+Y4A3 marker over the old markers and may be used as a confirmatory marker of squamous cell carcinoma.

Objectives: To evaluate the detrimental impact of smoking on oral health.Methodology: A Cross sectional comparative study was carried out on 100 patients, 50 smokers and 50 non-smokers, visitingSharif Medical and Dental College, Lahore from June 2019 to July 2020. Intra-oral examination was done using the CommunityPeriodontal Index of Treatment Needs (CPITN). Recorded data was coded, entered and analyzed using SPSS statistical Packageversion 23.ResultsThe periodontal health was significantly associated with status of smoking (p=0.001). The most prevalent periodontal problemsof smokers were periodontal pockets of 4 to 5 mm (19%) while the least (4%) had bleeding on probing. Majority of the nonsmokers(32%) had bleeding on probing. The number of cigarettes smoked in a day and periodontal health status weresignificantly associated (p=0.004). Light smokers (1 to 10 cigarettes/day) had periodontal pockets of 4 to 5mm as their biggestperiodontal problems (38%) while the least (8%) had bleeding on probing. The periodontal problem that intermittent smokers(11 to 15 cigarettes/day) predominantly had was periodontal pockets of 6 mm or more (8%) and same was the case with heavysmokers (2%).Conclusion: The main periodontal problem of smokers was periodontal pockets of 4 to 5 mm while the least was bleeding onprobing. Most of the non-smokers had bleeding on probing while none of the non-smokers had periodontal pockets. Lightsmokers (1 to 10 cigarettes/day) mainly had periodontal pockets of 4 to 5mm as their main concern. The periodontal problemthat intermittent and heavy smokers mainly had were periodontal pockets of 6 mm or more.