From powerful diagnostic algorithms to finely-tuned surgical robots, artificial intelligence (AI) is making its presence known across the healthcare industry. Although still in its growth stage, AI is already rivalling doctors in diagnosing patients. The promising technology will soon reach a new level where doctors can rely on it to treat patients more efficiently. Our health and well-being are important and should not be overlooked. No stone is, therefore, left unturned when it comes to improvisations in the field of healthcare.
Artificial Intelligence is impacting healthcare in the same way that OBD impacted automobiles a few decades ago. With the combination of data and machine learning, AI is moving healthcare to a much more automated, efficient, interactive, and intelligent state. But how will AI impact the future of Healthcare? The most significant way Artificial Intelligence has transformed healthcare is through data analysis and management. AI can store, connect, and skim through patient data to identify medical problems and diagnose them through highly accurate clinical decisions.
Interest in artificial intelligence continues to explode across every industry, but few areas offer more opportunities for drastic improvement of human life than the application of machine learning and AI in healthcare and the medical field. Let's begin first with a definition. AI in healthcare and medicine means using data more effectively through machine learning algorithms to produce positive patient outcomes. The sheer amount of data created through IoT-enabled devices, the electronic medical record (EMR), and ever-expanding quantities of genetic data has made possible a large number of applications of artificial intelligence in healthcare. Check out the Harvard Business Review ranking of the potential value that these applications could bring to the healthcare industry. The underlying value of artificial intelligence is to enhance human decision-making and automate processes that are time- or resource-intensive for humans to perform.
The World Health Organization today issued its first-ever report on the use of artificial intelligence in healthcare. The report is 165 pages cover-to-cover and it provides a summary assessment of the current state of AI in healthcare while also laying out several opportunities and challenges. Most of what the report covers boils down to six "guiding principles for [AI's] design and use." These bullet points make up the framework for the report's exploration of the current and potential benefits and dangers of using AI in healthcare. The report focuses a lot of attention on cutting through hype to give analysis on the present capabilities of AI in the healthcare sector.
The recent advances of Augmented Reality (AR) in healthcare have shown that technology is a significant part of the current healthcare system. In recent days, augmented reality has proposed numerous smart applications in healthcare domain including wearable access, telemedicine, remote surgery, diagnosis of medical reports, emergency medicine, etc. The aim of the developed augmented healthcare application is to improve patient care, increase efficiency, and decrease costs. This article puts on an effort to review the advances in AR-based healthcare technologies and goes to peek into the strategies that are being taken to further this branch of technology. This article explores the important services of augmented-based healthcare solutions and throws light on recently invented ones as well as their respective platforms. It also addresses concurrent concerns and their relevant future challenges. In addition, this paper analyzes distinct AR security and privacy including security requirements and attack terminologies. Furthermore, this paper proposes a security model to minimize security risks. Augmented reality advantages in healthcare, especially for operating surgery, emergency diagnosis, and medical training is being demonstrated here thorough proper analysis. To say the least, the article illustrates a complete overview of augmented reality technology in the modern healthcare sector by demonstrating its impacts, advancements, current vulnerabilities; future challenges, and concludes with recommendations to a new direction for further research.