Explainable Artificial Intelligence (XAI) is increasingly being recognised as a key enabler of trust, transparency, and accountability in Clinical Decision Support Systems (CDSS). This research performs a systematic literature review of 225 peer-reviewed articles from 2015 to 2025 to discuss the current status of XAI in healthcare, outline dominant research trends, and shed light on emerging challenges. The results show a tenfold rise in global research output, driven by the need for explainable models to enhance diagnostic performance, patient safety, and clinician trust. The thematic clustering results in six main themes, including technical frameworks, human-centred design, ethical aspects, and regulatory compliance. Besides the technical contributions, this review underlines how interdisciplinary findings from the social sciences, ethics, and information science can provide the basis for defining responsible, sustainable use of XAI in the healthcare industry. This study concludes by providing practical recommendations and a research agenda that allow for human-AI collaboration, fairness, and transparency with consistency in policies.

Blockchain Technology will bring a revolutionary change to the food supply chain (FSC). It will improve the visibility and traceability of the flow of food products. This study examined blockchain technology adoption in food supply chain industries in India. This study tried to examine the traceability of the food products across the food supply chain by using blockchain technology. This study will be beneficial to food industries who are thinking for a tracing and tracking mechanisms. The result shows the positivity for blockchain technology adoption in FSC industries. Also, it laid the foundation for blockchain technology adoption in FSC industries to achieve operational excellence. This study shows that with the adoption of blockchain FSC sectors can achieve sustainability in their operations and supply chain.