AI Medical Compendium Journal:
Journal of insurance medicine (New York, N.Y.)

Showing 1 to 6 of 6 articles

Unlocking Hidden Risks: Harnessing Artificial Intelligence (AI) to Detect Subclinical Conditions from an Electrocardiogram (ECG).

Journal of insurance medicine (New York, N.Y.)
Recent artificial intelligence (AI) advancements in cardiovascular medicine offer potential enhancements in diagnosis, prediction, treatment, and outcomes. This article aims to provide a basic understanding of AI enabled ECG technology. Specific cond...

Through the Looking Glass Darkly: How May AI Models Influence Future Underwriting?

Journal of insurance medicine (New York, N.Y.)
Applications of Artificial Intelligence (AI) deep-learning models to screening for clinical conditions continue to evolve. Instances provided in this treatise include using a simple one-view PA chest radiograph to screen for Type 2 Diabetes Mellitus ...

Basics of Artificial Intelligence (AI) Modeling.

Journal of insurance medicine (New York, N.Y.)
A key-word search of artificial intelligence, artificial intelligence in medicine, and artificial intelligence models was done in PubMed and Google Scholar yielded more than 100 articles that were reviewed for summation in this article.

ChatGPT: How Closely Should We Be Watching?

Journal of insurance medicine (New York, N.Y.)
ChatGPT is about to make major inroads into clinical medicine. This article discusses the pros and cons of its use.

NT-proBNP Predicts All-Cause Mortality in a Population of Insurance Applicants, Follow-up Analysis and Further Observations.

Journal of insurance medicine (New York, N.Y.)
OBJECTIVE: - Further refine the independent value of NT-proBNP, accounting for the impact of other test results, in predicting all-cause mortality for individual life insurance applicants with and without heart disease.

Random Forest.

Journal of insurance medicine (New York, N.Y.)
For the task of analyzing survival data to derive risk factors associated with mortality, physicians, researchers, and biostatisticians have typically relied on certain types of regression techniques, most notably the Cox model. With the advent of mo...