One of the first proofs of successful application of Artificial Intelligence for clinical judgment and diagnosis was reported byone studypublished by Stanford University in 2017. According to the study, AI algorithms successfully detected skin cancer against the diagnosis provided by 21 professional dermato...
To monitor progress of a cancer:The most common use of tumor markers is to follow a known cancer. In this setting, a decrease in the level of a tumor marker may be a sign that a tumor is decreasing in size (in other words, that the treatment is working) whereas an increase in the ...
future to design fast and cost-effective experiments to obtain and validate new medical knowledge (codified in the form of association rules) from large standardized medical databases, thereby permitting the advance of scientific medicine in general and Personalized and Precision Medicine (PPM) in ...
Researchers use high performance computing incancer treatment. In a project from 2017, scientists performed data analysis involvingpetabytesof information. The data was used to identify connections between a cancer patient's genome and tumor composition. The project extended to characterizing and treating ...
increase in cigarette-induced cancer and other diseases such as tuberculosis, chronic obstructive pulmonary disease, heart diseases, etc. Lastly, a case can be made regarding the need for improving healthcare services and how the money from a reduced healthcare burden can help do that. Examples ...
AI in healthcare is the use of machine learning, natural language processing, deep learning and other types of AI technology in the health field. These technologies are intended to improve health professionals’ capabilities and performance while enhancing the patient experience. ...
The results of multiple studies that answer similar research questions are often available in the literature. It is natural to want to compare their results and, if sensible, provide one unified conclu- sion. This is precisely the goal of the meta-analysis, which provides a single estimate of...
AI’s deep learning technology is used to do a quantitative analysis of medical images. This enables healthcare practitioners to evaluate the extent of disease progression by extracting essential biomarkers. This would be beneficial for cancer patients as it accelerates the diagnosis. Quantitative ...
As rates of chronic conditions like heart disease, cancer, and diabetes continue to increase, so does the strain on healthcare systems and the costs of their treatment. Healthtech Use Cases Here are use cases and examples of health technology being used in the healthcare sector to tackle the...
Utilizing complex algorithms, Artificial Intelligence systems can sift through historical health records, genetic information, and real-time data to identify patterns indicative of diseases or conditions. This capability enables early detection and diagnosis, particularly for complex diseases such as cancer,...