Following the evolution of artificial intelligence Part 2, we will start posting AI innovations in the medical field part 3.
If you want to see the second part of the posting, you can click the link below.
▶ Technology Trends to Watch in 2024 The Evolution of Artificial Intelligence Part II - Convergence of AI and Robotics: https://7c7c.tistory.com/1
Technology Trends To Watch In 2024 The Evolution Of Artificial Intelligence Part III - AI Innovation In Healthcare
■ AI Innovation in Healthcare
While advances in artificial intelligence in other fields are also remarkable, the impact of AI in healthcare is revolutionary.
AI-based diagnostic systems assist doctors in diagnosing them, enabling faster and more accurate diagnosis, and AI in customized healthcare analyzes patients' genetic information, lifestyle, etc. and proposes an individual-optimized treatment plan.
Artificial intelligence (AI) innovations in healthcare are bringing significant changes in many aspects, including care, diagnosis, patient care, research and development, and these technologies are contributing to improving the quality of care for patients, increasing the efficiency of healthcare, and discovering new treatments and drugs.
Here are some of the key areas of innovation brought by AI in healthcare.
① Diagnostics and Patient Monitoring
AI is used in various diagnostic processes through image analysis, pattern recognition, and data prediction.
For example, AI-based algorithms help diagnose diseases such as lung cancer, breast cancer, and skin cancer by analyzing X-rays, CT scans, and MRI images, showing a similar level of accuracy to dermatologists in diagnosing skin cancer.
In addition, it has reached the level of monitoring the patient's condition in real time, enabling early detection of anomalies, monitoring the patient's bio-signals in real time in high-risk environments, and providing immediate notification when significant changes occur.
② personalized medical care
AI analyzes patients' personal data to provide customized treatment plans.
It recommends the optimal treatment method based on data including the patient's genetic information, lifestyle, and previous treatment records. It plays a particularly important role in precision medicine, enabling more effective and less side effects treatment for patients.
③ robotic surgery
Robotic surgical systems help doctors perform more precise and finer surgeries.
Representatively, these systems are "Davinci Surgical Robots," and with the help of AI, they analyze data generated during surgery in real time to support decision-making.
This can increase the accuracy of surgery, improve safety, shorten recovery time, and reduce the risk of complications.
④ drug discovery and development
AI quickly identifies novel therapeutic candidates by analyzing biological pathways linked to millions of chemicals during drug discovery.
This process can significantly reduce time and cost over traditional methods,
In particular, it is very helpful in developing effective drugs through "biomarker" and target analysis, which are indicators that can detect changes in the body using cells, blood vessels, proteins, and DNA in the body.
⑤ Infectious disease prediction and management
AI utilizes big data to predict the spread patterns of infectious diseases, and is used to plan preventive measures accordingly.
For example, it monitors the spread of infectious diseases such as influenza and COVID-19 in real time, and provides outbreak prediction models to support public health responses. As such, AI innovations in healthcare are contributing to enabling faster and more accurate diagnosis, improving treatment methods, and enhancing the overall quality of healthcare.
This lays the groundwork for healthcare professionals to make more informed decisions and provide optimized care for individual patients.
If you're looking at "Technology Trends to Watch in 2024: Evolution of AI - The Role of AI for Sustainability," click the link to go to the post.
