Bard AI, developed by Google, represents a significant advancement in the realm of artificial intelligence (AI) powered chatbots [1]. This innovative AI is designed to simulate human-like interactions, answering a wide array of user inquiries and prompts [1]. Having been trained on a vast dataset of text data, Bard utilizes sophisticated language models to generate comprehensive and informative responses to user inputs [1]. The mechanism behind Bard involves its large language model, specifically the Pathways Language Model 2 (PaLM 2), which has been engineered to excel in comprehending facts, logical reasoning, and mathematics [1]. The capacity of the model to effectively analyze and comprehend contextual information enables it to deliver comprehensive and precise responses to a wide array of inquiries [1, 2]. While Bard shares some similarities with ChatGPT, Bard AI distinguishes itself through its emphasis on factual accuracy. Bard demonstrates exceptional proficiency in understanding and answering questions that require precise information [1]. In contrast, ChatGPT, a generative language model, is proficient in generating creative and diverse types of text, such as articles, code, scripts, and more which may or may not be completely accurate [3]. One of the fundamental differences between Bard AI and ChatGPT lies in their data sources and connections to the internet. Bard AI is linked to Google's expansive search network, granting it access to real-time information from the internet [1]. This allows Bard AI to provide up-to-date information about current events and topics [1]. On the other hand, ChatGPT is not directly connected to the internet, and leverages data up to 2021 to generate its responses [3, 4]. ChatGPT has already shown considerable potential in the field of ophthalmology, from helping triage ophthalmic symptoms [5], medical education [6], answering ophthalmic board certification practice questions [7], writing cataract surgery operative notes [8], developing ophthalmology AI algorithms to classify OCT images [9]. The utilization of Bard AI has considerable potential upside and downside for ophthalmology. The ability of Bard AI to comprehend and provide factual information makes it a valuable tool for

Artificial intelligence (AI) is revolutionizing the field of orthopedic bioengineering by increasing diagnostic accuracy and surgical precision and improving patient outcomes. This review highlights using AI for orthopedics in preoperative planning, intraoperative robotics, smart implants, and bone regeneration. AI-powered imaging, automated 3D anatomical modeling, and robotic-assisted surgery have dramatically changed orthopedic practices. AI has improved surgical planning by enhancing complex image interpretation and providing augmented reality guidance to create highly accurate surgical strategies. Intraoperatively, robotic-assisted surgeries enhance accuracy and reduce human error while minimizing invasiveness. AI-powered smart implant sensors allow for in vivo monitoring, early complication detection, and individualized rehabilitation. It has also advanced bone regeneration devices and neuroprosthetics, highlighting its innovation capabilities. While AI advancements in orthopedics are exciting, challenges remain, like the need for standardized surgical system validation protocols, assessing ethical consequences of AI-derived decision-making, and using AI with bioprinting for tissue engineering. Future research should focus on proving the reliability and predictability of the performance of AI-pivoted systems and their adoption within clinical practice. This review synthesizes recent developments and highlights the increasing impact of AI in orthopedic bioengineering and its potential future effectiveness in bone care and beyond.