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AI Use Cases

A collection of over 250 uses for artificial intelligence

A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more

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Mammogram analysis

Introduction

It can be said that the healthcare industry is one of the most advanced regarding the adoption of technologies, especially in the field of artificial intelligence (AI). Another key benefit area of AI is in the analysis of mammograms using Computer Vision (CV). Mammograms are very useful in the detection of breast cancer which is a disease that is known to affect many women across the world. However, these images are sometimes difficult to interpret because of their complexities. This is where CV AI in mammogram analysis comes in handy as it helps to increase the accuracy, consistency, and the rapidity of the diagnoses in health care facilities.

Challenges

There are however some challenges that come with the use of CV AI in mammogram analysis. First, the vast amount of data that is presented in mammograms can be overwhelming for a human to analyse, diagnose and interpret correctly. Second, mammograms are not always of good quality since other factors like patient movement, contrast, and breast density may vary. Third, there is a possibility of getting false positive and false negative reports which may lead to increased treatments that are not necessary and also missing out on some cases. Fourth, there is a gap in the availability of radiologists especially in hard to reach areas. Fifth, the implementation of the AI technology into the existing healthcare facilities is a process that may be expensive and complicated.

AI Solutions

Such challenges can be met with the help of AI solutions where CV AI is discussed. It can work through large amounts of information at the same time and with high level of precision thus helping the radiologists to work less. CV AI is also effective in dealing with variation since the algorithms that are used in it are able to pick out the patterns and abnormalities. The challenge of false positive and false negative can be managed through the AI’s capability of learning from the previous cases and improving with each learning process. Some of the companies that are currently at the forefront of this include Zebra Medical Vision and Aidoc. These are products of AI-driven solutions which are intended to complement current healthcare IT systems without causing much hassle and expenses.

Benefits

There are a number of advantages of using CV AI in mammogram analysis. First, it enhances the diagnostic value thereby increasing the efficiency in identifying and managing the breast cancer. Second, it lightens the burden of the human radiologists, thus enabling them to handle the difficult cases. Third, it enhances the coherence of diagnoses thus enhancing the quality of patient care. Fourth, it can improve the delivery of quality health care services in hard to reach regions where there are no many radiologists. Fifth, it can help free the healthcare givers a lot of time and or money in the management of patients thus to provide efficient healthcare services.

Return on Investment

The ROI of CV AI in mammogram analysis can be very valuable. It can enhance the diagnostic capabilities, which in turn can minimise the costs of treatment at the advanced stages. It can also help reduce the workload of human radiologists thus cutting on the labor costs. It can also enhance the speed of diagnosis thus enhancing the patient turnover and income. A study published in the American Journal of Roentgenology revealed that the application of AI could bring in an additional $400 per mammography session.

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