Exploring Artificial Intelligence for Enhanced Endodontic Practice: Applications, Challenges, and Future Directions by Santosh R. Patil, Mohmed Isaqali Karobari

“…However, challenges such as data privacy issues, algorithmic biases, and integration barriers must be addressed to enable broader adoption. …”
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A comprehensive review of remote sensing techniques for monitoring Ulva prolifera green tides by Xiaomeng Geng, Xiaomeng Geng, Xiaomeng Geng, Huiru Li, Huiru Li, Le Wang, Weidong Sun, Yize Li

“…Additionally, it identifies the limitations and unresolved challenges in current approaches, such as constraints on data resolution, algorithmic biases, and environmental variability. The potential for integrating multi-source remote sensing data with marine environmental parameters and deep learning techniques is discussed, emphasizing their roles in improving the accuracy and reliability of monitoring and predicting Ulva prolifera green tides. …”
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A gender critique of the EU directive on platform work from the perspective of feminised and racialised labour by Nelli Kambouri

“…Based on the relevant literature, the article explores the gendered challenges that will emerge from its implementation especially regarding reproductive labour and algorithmic biases. More specifically the analysis uses existing research on intersectional gender inequalities from different areas of platform work, mostly crowdwork and domestic and care work, to explore how it will impact on the platform economy. …”
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Challenges and Prospects of Deploying AI and Machine Learning for Clinical Diagnosis in African Healthcare by Edmund Terem Ugar

“…This stems from the inherent nature of the data used to develop these technologies, primarily sourced from healthcare experiences in designing nations, coupled with the pervasive algorithmic biases prevalent in contemporary ML systems. …”
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A scoping review by I Gusti Ayu Tirtayani, I Made Wardana, Putu Yudi Setiawan, I Gst. Ngr. Jaya Agung Widagda K

“…However, challenges such as data privacy concerns, algorithmic biases, and the need for greater transparency are also noted. …”
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DIGITAL TRANSFORMATION AND THE USE OF ARTIFICIAL INTELLIGENCE IN SOCIAL INSURANCE AND INSURANCE by Elizaveta Pletneva, Daria Zagorska

“…The downsides may include data confidentiality issues, the exclusion of the human factor, the risk of algorithm bias, implementation complexity and high costs, and the threat of unemployment.…”
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Social Media Recruitment as a Potential Trigger for Vulnerability: Multistakeholder Interview Study by Nina Matthes, Theresa Willem, Alena Buyx, Bettina M Zimmermann

“…We also report several practical recommendations from experts to navigate these triggering effects of social media recruitment, including transparent communication, addressing algorithm bias, privacy education, and multichannel recruitment. …”
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The Role of ChatGPT and AI Chatbots in Optimizing Antibiotic Therapy: A Comprehensive Narrative Review by Ninel Iacobus Antonie, Gina Gheorghe, Vlad Alexandru Ionescu, Loredana-Crista Tiucă, Camelia Cristina Diaconu

“…However, challenges such as inconsistent handling of clinical nuances, susceptibility to unsafe advice, algorithmic biases, data privacy concerns, and limited clinical validation underscore the importance of human oversight and refinement. …”
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Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring by Fang Li, Shengguo Wang, Zhi Gao, Maofeng Qing, Shan Pan, Yingying Liu, Chengchen Hu

“…However, ethical challenges, including data privacy concerns and algorithmic biases, must be addressed to ensure fair and effective implementation. …”
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