Artificial intelligence systems are widely used in medical sciences. Common applications include diagnosing patients, discovering and thoroughly developing drugs, improving communication between doctors and patients, transcribing medical documents such as prescriptions, and treating patients remotely. While artificial intelligence systems often perform tasks more efficiently than humans, recent advanced algorithms have achieved accuracy comparable to that of human experts in the medical field.
Applications of Artificial Intelligence in Medical Care
Here are some examples of the areas where artificial intelligence is used in medicine:
Detection and Diagnosis of Diseases
Unlike humans, artificial intelligence does not need to sleep. Machine learning models can be used to monitor the vital signs of patients receiving critical care and alert doctors if specific risk factors increase. While medical devices such as heart monitors can track vital signs, AI can collect data from these devices and search for more complex conditions, such as sepsis. One of IBM’s clients developed a predictive AI model for premature infants, which achieved 75% accuracy in detecting severe sepsis.
Personalized Disease Treatment
Support for precision medicine can become easier with the help of virtual artificial intelligence. Since AI models can learn and retain preferences, they have the potential to provide real-time, personalized recommendations to patients around the clock. Instead of having to repeat information to a new person each time, a healthcare system can offer patients 24/7 access to an AI-powered virtual assistant capable of answering questions based on the patient’s medical history, preferences, and personal needs.
Accelerating medication development
Drug discovery is often one of the longest and most expensive stages of drug development. Artificial intelligence can help reduce the costs of developing new drugs in two primary ways: by creating better drug designs and by finding promising new drug combinations.
The role of (AI) in the administrative aspects of healthcare
Artificial intelligence automates tasks such as scheduling, billing, and record-keeping. This automation provides significant benefits by reducing the manual workload on healthcare providers and enhancing patient satisfaction through faster and more accurate services. AI-powered systems enable clinics and hospitals to manage appointments efficiently by using intelligent scheduling algorithms that optimize times and resources based on real-time data. For example, AI systems can predict peak times and allocate staff accordingly, reducing wait times and improving patient flow. Moreover, AI-supported automated billing systems minimize errors in charge collection and insurance claim processing, ensuring reliable revenue management.
References
