Like most industries worldwide, the healthcare industry is going through a massive revolution after the introduction of generative AI in healthcare. Generative adversarial networks abbreviated as Generative AI an artificial intelligence that creates new content like music, images, and text. According to a report, the global generative AI in healthcare market will be valued at USD 1.28 billion in 2022. This number is expected to grow at a CAGR of 37.6% between 2023 to 2030.
Generative Artificial Intelligence Use Cases In Healthcare Industry
Here are the top generative AI in healthcare industry use cases:
1. Medical Simulation
Using generative AI, medical simulations can be created to train and guide healthcare experts, including nurses, doctors, and others, that results in enhanced patient care. For example, experts at the University of Michigan have developed a generative AI algorithm to test a life-threatening condition called sepsis.
2. Enhanced Drug Discovery
In recent years, generative AI is also used in drug discovery and development processes. Above all, it has shown promising results. Now, healthcare experts and scientists do not depend on traditional and outdated methods like faxed medical records, snail-mailed findings, and manual patient diary entries.
3. Clinical Decision Making
One major use case of generative AI is clinical decision-making. Since generative AI is great at examining diverse and complex data, it is an excellent medical option to highlight underlying healthcare problems and suggest further treatment steps. Besides diagnosis, generative AI also suggests tailored treatment plans so that the patients receive extensive and effective care.
4. Medical Chatbots
Generative AI has introduced medical chatbots, which offer patients personalized medical attention and advice when required. For example, a company has developed a generative AI medical chatbot. Now, the chatbot will ask patients about their problems, underlying symptoms, past medical history, and more to deliver personalized plans and medical care.
5. Medical Research
Generative AI is used widely in medical research as the machine learning algorithm identifies patterns related to specific medical research topics. Through this, researchers can find new areas of work and develop new hypotheses. For example, researchers use generative AI in Healthcare to determine new drug targets.
6. Medical Imaging
Healthcare businesses have used AI technology for medical imaging. The machine learning algorithm can learn from a huge bulk of data of related images and come up with high-quality and high-resolution images that are better than the original ones, allowing healthcare experts, including doctors and nurses, to identify underlying health issues and make accurate diagnoses of the problem.
7. Predicting Catastrophic Health Events
Generative AI is becoming an exceptional choice as it can predict catastrophic health events. They are known for offering valuable information about COVID-19 and its preventive measures to people studying it. They also analyze huge piles of data and determine antibodies to tackle infections.
Comments