Year: 2025
Type: article
Abstract: This review talks about how Artificial Intelligence will bring about a sea change in medical diagnosis, particularly in imaging, genomics, and personalized medicine. AI algorithms are developed to increase the speed and accuracy of interpretation of medical images like X-rays and MRIs, greatly improving diagnostic accuracy and allowing rapid interventions. AI also supports radiologists by outlining areas of concern, reducing human error, and optimizing workflow efficiency. The applications of AI in genomics bring out the exact identification of genetic mutations, which can help a doctor derive a treatment plan based on the needs of each patient. However, there are many challenges to integrating AI into healthcare, such as possible biases, integration problems, and high costs that may increase healthcare disparities. Unless these challenges are addressed, there could be unequal creation and access to AI-driven diagnostic tools, and their potential for improving patient outcomes will not be completely realized.
Author: Labdhi Jain
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4411242211