December 6, 2024

Snika Gupta

11th Grade

Brooklyn Technical High School

AI expansion is rapid and expanding daily. In the medical field, AI is making significant strides. By collaborating with specialists in various fields, AI can assist in analysis of medical data. Significant innovations are emerging from the integration of AI, introducing new methods to improve treatments, patient care, and diagnosis. However, it's crucial to emphasize human oversight in health care.

AI can process data from thousands of patients, recognize patterns, and analyze ways faster than a human can. While AI can do these tasks in a fraction of a second, this task could take a human weeks or months to do. AI is particularly used for data analysis, creating graphs, and transferring specialists to analyze images. AI identifies patterns, trends, and data variation and visualizes them for doctors and specialists.

Another area of AI application in the medical field is language and speech processing. Language and speech processing are the processes that AI is currently dominating. AI tools in transcription software and patient communication are dominant in their roles too. It can be used to cement patient notes and transcribe medical notes to free up time for healthcare workers. AI can also translate languages in real time for better communication between patients and doctors.

Imagine analysis by AI has also shown many benefits. For inpatient scans such as X-rays, CT scans, and MRIs, AI works with specialists to help analyze these scans. Conditions such as tumors, fractures, or even subtle changes can be detected which speeds up diagnosis and increases accuracy.

In dermatology, where many disease diagnoses begin with analysis of skin, hair, and nails by eyesight, using AI to help to analyze patterns in skin conditions may help narrow down some possible diagnoses. AI can process images of patients and detect patterns to aid in preliminary diagnoses. Algorithms can compare the shape, size, and color of skin conditions to other similar conditions in a vast database. For people in remote areas, AI can give preliminary diagnostic advice and guide people to seek medical attention. 

This being said, human oversight is essential in all diagnosis to ensure the most accurate results. Experience, an important factor in diagnosing, is something unique humans can call upon in a different way than AI can. Maintaining high-quality standards is crucial, as these decisions directly impact people’s lives and health.