Verisign reported a 125 percent increase in data breaches within the healthcare sector in the United States during 2022, with 18.2 million patient records being impacted. Growing healthcare data volumes and diversification mean that medical information is becoming more valuable. Many Health Centers use various technologies to ease the classification, storage, and exchange of big data. This use can also make the health data of the users at risk and vulnerable. AI and blockchain are among the leading technologies at hand. With AI, data-driven operations and big data efficiency have been improved with respect to traditional techniques. Due to its potential to bring about improvements in health services and lower medical costs, this AI technology is regularly used in healthcare. Blockchain helps protect transactions on sharing information and private privacy as long as the exchange of knowledge is that of the standard. The objective of this analysis is to investigate the research and unique contributions since 2008 regarding blockchain-integrated AI and healthcare systems. The work sheds light on applied AI-based healthcare schemes with machine, ballistic, and acrylic learning and disparate blockchain structures. The use of technology in order to ensure patient data security and manage medical information effectively in healthcare settings offers a highly successful position for both healthcare providers and patients. From 2018 to 2021, the best year was 2021 to grow, enhancing everything to examine the download of the device and the counting of Google Academies, for which the joining perspective was borrowed; local research experts were asked, identified articles in recent years, and read reviews of large research grants.

Blockchain technology and Artificial Intelligence (AI) have emerged as transformative forces in their respective domains. This paper explores synergies and challenges between these two technologies. Our research analyses the biggest projects combining blockchain and AI, based on market capitalization, and derives a novel framework to categorize contemporary and future use cases. Despite the theoretical compatibility, current real-world applications combining blockchain and AI remain in their infancy.

On a basic level, there are two main types of AI – narrow AI and strong AI. Strong AI, on the other hand, would be capable of handling a wide range of tasks instead of one particular task. It could potentially have human-level cognition and would be able to complete any intellectual task that a person could. Narrow AI exists today, while strong AI has yet to emerge – as a matter of fact, many experts question whether it is even possible. For this reason, it's important to take a closer look at how they may interact in the future.

In its final iteration, the metaverse is envisioned as a persistent digital world using virtual reality and augmented reality, where users can do just about anything they can in the real world, without any physical boundaries -- from socializing to relaxing and earning income. The metaverse will rely on a myriad of cutting-edge underlying technologies to succeed, with blockchain and artificial intelligence (AI) being two of its most significant building blocks. Below we'll analyze the importance of blockchain and AI and their roles in the future metaverse. Without a doubt, AI and blockchain are at the forefront of the 4th industrial revolution, fostering more efficiency, transparency, and automation in the most significant industries. Artificial intelligence will be among the main driving factors of metaverse growth.

They used to be little more than buzzwords, but that's not the case anymore. Blockchain and artificial intelligence (AI) have evolved into leading technologies that power innovation across almost every industry. From blockchain's ability to track-and-trace food supply chains to the integration of AI in almost every facet of healthcare, each is tackling some of the world's biggest challenges. It turns out they actually work well in unison, too, building and organizing immense databases, strengthening cybersecurity protocols and performing tasks in a fraction of the time it takes humans. Here are 30 companies that are combining blockchain and AI with great results.

Prof. Ahmed Banafa has extensive experience in research, operations and management, with a focus on IoT, Blockchain, Cybersecurity and AI. His researches cited in studies by international organizations like NATO, WTO, and APEC. He is a reviewer and a technical contributor for the publication of several technical books. He served as an instructor at well-known universities and colleges, including Stanford University, University of California, Berkeley; California State University-East Bay; San Jose State University; and University of Massachusetts. He is the recipient of several awards, including Distinguished Tenured Staff Award, Instructor of the year for 4 years in a row, and Certificate of Honor from the City and County of San Francisco.

We are witnessing a number of applications where the blockchain and artificial intelligence have come together to provide a significant increase in the efficiency and effectiveness of the processes. Some of the worth mentioning examples include cryptocurrencies, chatbots, or fledgling segment of voice-assisted technologies. As we set to ride another way of technology, one of the most promising areas where blockchain technology and artificial intelligence can come together to yield massive in the field of robotics. As the name suggests, Robotics uses fully automatic or semi-automatic robots to carry out work processes. It is widely considered a very useful technique in order to up efficiency and replaces human intervention for more accurate results.

Among the many issues being raised in the course of the recent Wuhan coronavirus outbreak is the ability of charities to respond to crises and to fulfil their fiduciary and moral duty to apply donations effectively and for the purposes intended. The Wuhan coronavirus versus the Red Cross: better solutions via blockchain and artificial intelligence', available here, it is argued that the present crisis should be seen as a call to arms for the tech industry, which has the relevant know-how and resources to radically change the landscape of crisis response and the management of donations through the implementation and use of blockchain and artificial intelligence (AI), both of which are already in common commercial use. Beijing has ordered all public donations for the Wuhan crisis to be funnelled to five government-backed charity organisations. This is a throwback to pre-2016 China, before the Charity Law of China was introduced to enable the establishment of private charities. The Charity Law was intended to develop the charity field and protect the interests of relevant stakeholders.

The Fourth Industrial Revolution, as an expression, was originally introduced by Klaus Schwab, the World Economic Forum's Executive Chairman. He used it in a 2015 article published in Foreign Affairs. Mastering the Fourth Industrial Revolution became the World Economic Forum Annual Meeting theme a few years ago. The Fourth Industrial Revolution describes the fundamental changes influencing in the way we work, relate, and live with one another. It is based on the extraordinary technological advances that are merging the digital world with our business and social interactions.

– Blockchain is a mystery story or provides the foundation for cryptocurrencies like Bitcoin. What's different about blockchains compared to traditional big-data distributed databases like MongoDB. Its like featuring a product that contains small blocks of brain in form of dust but consider that the innovation efforts of several publicly traded asset managers and banks are also on this brain block dust quest. Computers start simulating the brain's sensation, action, interaction, perception and cognition abilities. Blockchain is a new approach to manage/monitor financial and other transactions, Guarding an innovation department or powerhouse lab is a smart setup without inbuilt component of artificial intelligence is like an effort of joining blocks without reference of previous block.