Artificial Intelligence has affected our everyday life in many different ways. Labor markets, logistics, media consumption – are just a few aspects most influenced by technology. AI and Machine learning can also save lives by enhancing the quality of our healthcare.

Most health institutions are using AI to enhance the quality of their services. Currently, AI plays a supportive role for doctors. It is used to analyze data that would be incomprehensible for humans. AI can compare the diagnosis with its data-based findings.

As time goes on, AI is destined to take on a more important role in health care. As evidenced by many AI consulting companies in the field, there’s a huge demand for their solutions. The biggest draw is efficiency and potential savings for patients and medical institutions alike. The technology is economically feasible, which ensures that there are going to be further innovations in the AI and ML fields. However, The implementation of AI systems needs to be preceded by careful consideration of potential threats and developing strategies to put the technology to good use.

Formulating a diagnosis is the foundation for providing health care services. Thanks to advancements in AI, the technology can improve the accuracy and speed of this process. Early detection is the key to successful treatment.

Let’s look at the possibilities of using AI for making a diagnosis.

AI for more accurate diagnosis

Inaccurate diagnosis is a much more common problem than it should be. It leads to inaccurate treatments, which is a serious problem that, according to MedTechDive, causes 40,000 to 80,000 deaths every year in the US alone. By making a more accurate and detailed diagnosis, AI systems can ensure that patients are provided with personalized treatments that address their health problems.

Diagnosing cancer

Research in the field shows that AI systems diagnose skin and breast cancer even more effectively than human doctors.

At the moment, IBM Watson is the leading AI-based healthcare solution. It utilizes machine learning and data analysis to find patterns between symptoms and the disease. AI systems like IBM Watson can recommend treatments that align with doctors’ recommendations 99% of the time. Get in touch with AI consulting companies to find the best solution for your business.

Diagnosing mental diseases

AI technology is making advancements to diagnose mental illnesses as well. Currently, AI is utilized as a supplement to professionals’ work. However, the developments in technology are making room for innovative solutions. For instance, WIRED article describes the possibility of making mental health diagnoses based on your Facebook messages.

The benefits of using AI

The main advantage of technology-based solutions is that they can process high volumes of data. Hospitals today are very efficient when it comes to organizing patients’ information. As long as data is available, AI systems can process the knowledge and make recommendations.

Analyzing a large amount of data

Usually, AI systems are designed to analyze image-based and text-based data. Most of the time, this includes scanned images, notes from doctors, and lab test results. Without the help of technology, human professionals have to rely primarily on their past experiences.

By using AI, doctors can ensure that their diagnosis is backed up by the data. As a result, the process takes less time and diagnosis is more accurate. Once it is set up, the system is very easy to run. For more information, contact AI consulting companies.

A wider range of application

Until the recent developments in NLP (natural language processing) technology, AI systems were limited to utilizing textual and image-based data. This was restricting for multiple reasons:

AI relies on a high volume of data to make accurate decisions. By increasing the data volume, we can increase the prediction quality as well.

The conversations between patients and doctors are often recorded, but can’t be analyzed. This is unfortunate because conversations often contain valuable information that’s not collected in the data.

NLP can analyze the speech and organize it to form structured data. Once it is interpreted and organized, AI can use the speech data to make recommendations. Natural Language Processing presents new possibilities for incorporating AI into clinical decision-making.

Increased efficiency

AI solutions can improve healthcare efficiency in two ways:

Aiding the doctors – The technology can cut down the amount of time it takes for a doctor to make a diagnosis. Based on data analysis, AI systems can suggest diagnoses and insights. Based on this information, doctors can make the final call and issue treatment recommendations.

Independent examination – Many AI-based solutions can provide valuable diagnostic information without human input. For instance, AI-powered pill cams are replacing old, traditional methods used to detect stomach cancer symptoms. AI is also extremely proficient in detecting various types of cancer.

These are just a few examples of using AI to improve the healthcare industry. Thanks to this technology, all patients can receive faster, more personalized, and most importantly, more affordable treatments. This is especially important in the US, where health spending per capita is one of the highest in the world. AI technology has the potential to save billions of dollars, which could be invested in improving overall living conditions for people in the US.

Safety Concerns

For data-based technologies, the data is a source of life and a weakness at the same time. On one hand, a high volume of data improves the quality of the diagnosis. On the other hand, the AI-service providers are responsible for securing the networks and preventing threats to the privacy of patients’ data.

This is problematic because AI solutions often rely on data sharing. That’s why planning and strategy is essential step of the implementation. Data safety is important, but not the only concern.

Using technology to treat patients is a very new concept. There are ethical questions that need to be answered. Regulating bodies are trying to respond by implementing policies and publishing guidelines that address these ethical concerns. Get the help of AI consulting companies to make changes that meet the regulatory requirements.

Summary

Hospitals can use AI solutions to provide patients with cheaper and higher-quality healthcare. Perhaps the most important use of the technology is in formulating a diagnosis. By making a data-based and more accurate diagnosis, the technology can save healthcare professionals time and allow the patients to receive personalized treatment.