Do you know India has become the “cancer capital” of the world? Due to such dangerous threats posed to the world, there is an urgent need to revolutionize the country’s healthcare systems. There can be many policies for the same. But here we wish to analyze how Artificial Intelligence can help us. There are many ways by which AI can be proven to be a boon for medicine:
1. Error Reduction in diagnosis
The utilization of AI in the field of diagnosis is different from that of people as they do not require sleep. Machine learning models have the ability to monitor some vital signs of patients receiving intensive medical care and notify medical professionals if certain risk factors increase. Although medical apparatuses like heart rate monitors can monitor vital signs, AI uses data from those devices to detect more complex illnesses like sepsis. There is some evidence that AI can help improve patient safety, and AI-powered decision support tools can help improve error detection and drug management.
2. AI in medical imaging
Computed Tomography (CT) being one of the most popular imaging methods, AI-enabled systems can help radiology departments optimize their processes and increase image quality. It starts with putting a patient in the right position for an examination. In CT, one common challenge is patient mispositioning which can lead to increased radiation dose to the patient or noise in our pictures. The use of AI-enabled cameras that automatically detect important body parts will facilitate speedy, correct, and standardized positioning of patients. Furthermore, AI-supported image reconstruction would reduce radiation dose as well as enhance CT image quality promoting diagnostic confidence.
3. Detection of instrumental error beforehand
To reduce equipment downtime, predictive maintenance is essential. Artificial Intelligence can also facilitate the smooth running of medical services by predicting equipment failure. For instance, using telemonitoring, one can control and assess over 500 different factors on an MR machine so as to determine beforehand which parts require servicing or replacements. Consequently, this action saves 30% of service episodes from turning into disruptions that hamper clinical operations or cause needless delays for patients. In the future, a full digital twin i.e., digital representation of all imaging units might allow the implementation of more elaborate predictive maintenance and optimizations throughout the process.
4. Personalised Disease Treatment by AI
AI support could transform precision medicine. It is capable of providing personalized advice to patients constantly because AI models can learn and keep preferences. This means that instead of having to keep on repeating information, every time there’s a new person, one could access virtual assistance powered by AI within the healthcare system that will answer questions about the medical history, choices, and personal needs of the patient all through.
5. Streamlined hospital administration AI
AI helps in making predictions and improving machine, bed, and employee usage at a corporate level. By utilizing Artificial Intelligence, we can extract significant trends from millions of real-time and historical hospital data so that we can anticipate and control patient flow. Such knowledge gives clinicians the information they need to maximize the efficiency use all valuable supplies and regulate shifts in patient care throughout their journey thus ensuring that everyone receives what one deserves.
The results of the tests and research are still being collected; moreover, the overall standards for the application of Artificial Intelligence in medicine are yet to be defined. However, opportunities for AI to benefit clinicians, researchers, and patients are progressively rising.
