Artificial intelligence (AI) has the potential to make substantial progress toward the goal of making healthcare more personalized, predictive, preventative, and interactive. We believe AI will continue its present path and ultimately become a mature and effective tool for the healthcare sector. Besides this AI-based systems raise concerns regarding data security and privacy. Because health records are important and vulnerable, hackers often target them during data breaches. The absence of standard guidelines for the moral use of AI and ML in healthcare has only served to worsen the situation. There is debate about how far artificial intelligence (AI) may be utilized ethically in healthcare settings since there are no universal guidelines for its use. Therefore, maintaining the confidentiality of medical records is crucial. This study enlightens the possible drawbacks of AI in the implementation of healthcare sector and their solutions to overcome these situations. Graphical Abstract

During routine dissection of a male cadaver for I year MBBS students in the department of Anatomy bilateral variations in the branching pattern of Axillary artery were observed. In the present study it was observed that, on the left side, the subscapular artery which usually arises from the third part of Axillary artery was found to be originating from the second part along with the lateral thoracic artery and thoraco-acromial artery whereas anterior circumflex humeral artery and posterior circumflex humeral artery originated from the third part as usual. On the right side, the circumflex scapular artery and the Thoracodorsal artery were arising as a common trunk from the third part which is not the usual pattern. Knowing such variations is of utmost significance in performing various clinical procedures by Vascular surgeons, Radiologists, Clinical anatomists and in interventional and diagnostic procedures in cardiovascular diseases.

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