A story that you will hear about more often in the following years has a title, “do you want to see our babies’ 3D ultrasound?”. This question introduces AI in healthcare as a central challenge, and this objection can take the shape of an idea, experience, and awareness. The difference between the three notions is a bold line that highlights the formulation of each one before it comes to existence. Capturing an idea about AI tools or emerging successes is only a thought until you need it. But the communication about this idea is what made it live in mind. After that, experience gives the sources and views credibility, which drives individuals into the right direction of knowledge.
Within this process, various dilemmas, questionings, and concerns arise about challenges in AI, its effectiveness and efficiency, and on the top, its accessibility. Noting that these interests move faster than the data-driven world around us does, at WizBlizz, we oversee both.
Guidance for AI is a must when it is accessible. Starting with the AI devices that enhance people’s lives, like Prosthetic Robotics, ML vision, and AI hearing devices. Each element has its detailed function to minimize health costs and maximize human relief. But in the modern materialistic world, reducing cost is part of the accessibility of AI in whatever shape it takes. Hence, prioritizing AI as a tool to progress is a way to embed it in healthcare. But through this accessibility lies a give and take process, where AI benefits from the data around it, especially humans. This way, patient profiles can ease the managerial work of health care units, tracking data and finding appropriate treatments.
The ultimate goal of science is to benefit humans. When the accessibility of this science is in the hands of humans, then it becomes more than an achievement; practical, not limited to theories. Accessibility shows in informing about new AI services, giving trials for software, and inserting new tools like AR/VR to the healthcare units. And on top of all of these services, consider training as the primary responsibility to make beneficial science applicable and accessible, specifically in medical schools. MR can map the surgeon into the patient’s body, its anatomy, and the most petite cells. With its interactive experience, AR helps doctors scan and visualize tumors. Also, assisted MR-medical devices interact with the patients’ data to organize later assignments accordingly. These techniques, visually or informally, enhance patients’ lives and grant the additional value of technology in the health sector. Yet what makes this accessible in the mere definition of easiness and facility is its low social cost. Here, the dots are connected the most when the benefits reach most individuals.
A pill you take in the afternoon will relieve you as the human body reacts to it. AI builds its cognition on algorithms that systematically mimic the human body’s flow, and these resolutions appear in telemedicine, mixed reality surgeries, and machine learning. The latter has three functions, a decision process, error function, and model optimization. The three stated functions are neutral-human specifications that we, at Wizblizz, offer to our customers through our healthcare AI services.
The ultrasound example is not a showcase, but it is the future. And when we at WizBlizz think to be part of the future, this recognition comes after research, development, and progress. Seeing the baby in 3d, colored, and changing motion, visualizing the tumor and its characteristics that fasten the saving process are only vivid examples of AI in healthcare. And these examples are only young dots to the powerful image of how AI, WizBlizz, and healthcare cooperate.