A few years ago, the mention of artificial intelligence in medicine was met with a lot of criticism as to how it would be impossible to let a machine do a doctor’s work. Time has, nevertheless, proved all naysayers wrong as technology has become one of the core pillars which cannot be ignored in the modern healthcare system. Today, the enormous potentials as to which AI can be applied in medicine is only limited by time as new ways for the adaptation of the technology in mainstream use are being discovered each day. The core distinction that artificial intelligence has over all modern systems is it seeks to not only emulate but build upon the human know-how and understanding of different phenomena.
In medicine, there has been a global movement to improve the current system, so patients have access to better healthcare by experts continually working to resolve all current problems experienced in the demanding sector. One of the most significant concerns for patients and doctors alike is in having an accurate diagnosis of various conditions. The reality behind having a correct diagnosis shows that there is more than meets the eye as it is a process that requires the gathering of patient data and running several tests before processing and analysis of the results while using multiple data sources. It is no wonder that diagnosis takes the bulk of most doctors’ time and has been the primary reason why many patients continue to suffer before receiving treatment.
Artificial intelligence comes as a shining light in a dark night as it has entirely transformed the largely manual process of patient data to an automated one with better results. The use of AI as decision support systems for doctors comes with the double benefits where on the one hand the limit of time is broken and on the other efficiencies is improved. All computer-based systems have the unifying characteristic which is the ability to process large volumes of data at speeds which humans cannot replicate. This is where the use of AI technology comes to play in eliminating the backlog common in most medical facilities as patients wait for results to be analyzed by specialists in a particular field.
It is the powers of accurate predictive analytics in medicine that makes artificial intelligence have tremendous capabilities in the healthcare ecosystem. First, is the fact that all analysis is based on official records that have been made in the past by professionals in the specific field. AI does not rely on random data but is guided by inbuilt algorithms which are centered in the industry’s best practices and are backed by an extensive database of past files. Each file analyzed is therefore cross-checked against thousands of similar data leading to a level of accuracy which is almost impossible to be achieved by human intelligence.
Another critical factor why artificial intelligence is not a passing wave but an innovation that is here to stay in the medical sector is the continuous supervised learning of the technology systems. It is not enough that AI models already have an advantage when analyzing any set of data but the enormous potential brought about by never-ending learning makes it a futuristic solution. The healthcare sector is ever changing as new variants of diseases are discovered, and modes of treatment are introduced to keep in touch with current demands. Artificial intelligence systems are an ever-adapting diagnosis support solution that doctors can rely on for day to day needs as it takes to account current and past information.
For most people, the support solutions provided by AI models are only for secondary analysis where digitized data is fed to a system for diagnosis. This is not the only case for the use of the technology which has found its way to operating rooms to aid surgeons in improving the real-time accuracy of the operations. Currently, the focus of adoption of AI has been in laparoscopic cholecystectomy where it has been a guide for avoiding mistakes in the minimally invasive procedure. A point of concern for many surgeons has been ways to accurately distinguish between the common bile duct and the cystic duct which can easily be confused.
For accurate recognition of anatomical structures during the procedure, an artificial intelligence system is a must-have for surgeons who want to reduce the chances of human errors that can result in complicated medical conditions. Instant analysis is made possible by the technology which uses the video coming from laparoscope cameras to identify different segments. The surgeon as such does not have to second guess on which is the right duct to surgically clip resulting to an operation that is free from any complications.
The use of artificial intelligence is progressively coming from being a secondary support system to playing an active role in modern healthcare. Modern technology holds much more potential than simple diagnosis which channeled rightly will improve the overall efficiency of the current medical systems. AI has its basis in data analytics, and with the introduction of the human knowledge to the analysis and interpretation of the data, technology in medicine has better days coming. A note of concern for those worried about the human touch in medicine is that the modern innovation is not aimed at making the respected profession of medical practitioners extinct but to complement and evolve the current systems to a whole new level.