Artificial General Intelligence Can Revolutionize Modern Medicine and Healthcare

Medicine and healthcare are not exact sciences, but with the advances of technology, they can come pretty close.

When it comes to human health, one essential variable can affect the effectiveness of a given treatment or medication: each patient’s individual biological response, which is often unpredictable and not always in conformity with the established standard.

For example, hypertension—having blood pressure higher than normal—can occur due to cardiac, kidney, or hormonal causes, among other factors, each with their own unique treatment.

The importance of analyzing each particular case cannot be overstated. There are numerous variables in each case, and understanding the patient’s circumstance is crucial for achieving the best results.

In this regard, a good knowledge base and the ability to apply it, as well as the ability to evaluate symptoms, inventiveness, and expertise in putting the pieces together, define the success of a medical treatment.

Over the years, we’ve implemented technology to help medical professionals carry out these cumbersome tasks, and we’ve made great advancements. 

Yet, there’s one critical limitation to healthcare development that’s still holding us back: our own brain.

Integrating AI to Healthcare Processes

If humans can live to a hundred years today, it’s because of the groundbreaking advancements we’ve made in medicine and healthcare, from the discovery of ever more effective medication to the integration of technology into different healthcare procedures, like MRIs or robotic surgery.

Nevertheless, modern medicine still has its limitations, and most of them have to do with the part of medicine we cannot enhance: our own minds. 

Medical professionals have to rely on their own experience, intuition, and judgment when making diagnoses and developing treatment plans. However, the human brain is not perfect and can make mistakes. It is capable of forgetting key information, misinterpreting a particular collection of data, or confusing knowledge with that from another scenario or situation.

Human error and bias frequently lead to inaccurate diagnoses or inadequate therapies, which, if not detected in time, can have serious effects for the patient.

Additionally, the increasing amount of data and documentation in the medical field adds to the difficulty for humans to process and analyze effectively.

While the human brain is not particularly adept at storing information for extended periods of time, computers are, and modern large language models (LLMs) provide an easy, user-friendly interface for navigating that data.

However, they don’t address the root of the problem. Current artificial intelligence models lack the flexibility and adaptability of human intelligence. They are typically designed to perform a specific task, such as identifying patterns in medical images or predicting patient outcomes based on electronic health record data. 

These systems are frequently incapable of dealing with new, unexpected, or complex events. They are instead based on probability and data, and while we may easily receive answers from them, they, too, can make mistakes.

The mere possibility that AI can produce inaccurate responses in assisting a patient demands extreme caution when applying it for healthcare. In other words, successfully adapting the accountability systems designed for healthcare professionals to algorithms will be necessary to protect patients as AI systems gain relevance in the field.

It’s become clear that, to unlock the next wave of healthcare and medical development, we must combine humanity’s creativity, reasoning, and inference talents with computer data storage and navigation capability, as well as quick information processing.

Enter TrueAGI.

TrueAGI: Disrupting Modern Medicine and Healthcare

Imagine if we could train a computer, with all its information storage and processing capabilities, to use logic and reasoning and learning from experience—an AI model that can uniquely interact with each patient, analyze their individual medical records, symptoms, and medical test results, and produce a unique response based on its findings while also remembering it for when they return.

This type of intelligence is a step ahead of present models, which are limited to their training data and cannot execute any activities beyond that. It would be able to generalize its knowledge and apply it to a variety of situations, including ones for which it has received no instruction. As a result, it is known as artificial general intelligence, or AGI.

For example, returning to the hypertension example, an AGI would have the ability to apply its general knowledge about this condition, cross-reference it with the patient’s medical history and test results, and suggest a treatment.

Then, it would be able to observe the patient’s response to the treatment and overall evolution, and adjust accordingly, overcoming the difficulties and limitations of narrow AI’s lack of flexibility and adaptability. This is exactly the type of solutions we are building at TrueAGI.

Such a technology would be a valuable tool, not to replace medical personnel, but to assist them by boosting their capacity, increasing their efficiency, and reducing human error, as well as unlocking various other benefits AGI might offer to healthcare, such as:

• Faster and more accurate diagnoses, by analyzing vast amounts of medical information in short periods, including electronic health records, medical images, and genetic data, to identify patterns and make more accurate diagnoses.
• Personalized treatment plans, by synthesizing and interpreting that information to develop personalized treatment plans for individual patients based on their medical history, genetic data, and other factors.
• Medical research and drug discovery, by observing the results of clinical trials and drug interactions to develop more effective drugs and discover insights that could lead to new medical breakthroughs.

However, perhaps the most important advantage of implementing AGI in healthcare is the possibility to provide massive access to personalized care.

Unlocking Global Access to Healthcare

Many people lack access to adequate healthcare. Even in some of the world’s most advanced economies, medications and treatments can be prohibitively expensive. In others, medical personnel and specialists are in low supply, requiring individuals to fly to get the surgery or therapy they require, adding even more zeroes to the price.

This is one of the greatest injustices of the modern world, where everyone should have access to healthcare. Here is where AGI can make a true difference.

Meet Your AGI-Powered Medical Assistant

By combining AGI with robotics, we can leapfrog modern healthcare with AI-powered medical assistants capable of human-like reasoning and inference for healthcare purposes.

These robotic nurses can understand complicated medical terminology, assess patient data and medical records, and offer treatment suggestions based on the latest research and clinical best practices.

TrueAGI envisions a future where robotic nurses will be available in hospitals and clinics around the world. They can make a difference by supporting healthcare professionals in improving patient outcomes and expediting operations, greatly lowering the costs.

Picture the following scenario: One of these medical assistants receives a patient named Sarah—a young woman who has been suffering from chronic pain for several years. Sarah’s condition has worsened in the last year despite numerous doctor visits and tests and therapy.

The nurse starts by going over Sarah’s medical history and running a battery of tests to gather more information. Using TrueAGI’s advanced machine learning capabilities, it is able to detect patterns and correlations that human doctors may have missed.

After collecting and evaluating the data, the AGI medical assistant presents her results to Sarah’s doctor. Then, it proposes a fresh treatment technique based on her research that has been effective in similar situations. Sarah’s doctor is skeptical at first, but after reviewing Grace’s data and consulting with her colleagues, he agrees to give it a try.

Over the next few weeks, Sarah’s pain begins to subside. For the first time in years, she can sleep through the night, and her energy levels surge.

In short, AI-powered nurses obtain data from multiple sources—all while maintaining security—to provide recommendations to doctors for approval. They are not meant to take over the medical procedures, but to assist healthcare professionals in charge.

This technology has the potential to dramatically transform the healthcare business. Most importantly, it could be used in areas where there is a scarcity of medical professionals and specialists.

With AGI, we can make a real difference in human quality of life throughout the world.

TrueAGI aims to make this a reality in the near future. We can design human-level artificial intelligence systems that greatly improve human existence and actually make the world a fairer, more just, and, most importantly, healthier place by leveraging cutting-edge artificial intelligence technologies and development frameworks.