BACKGROUND: Despite the expanding use of machine learning (ML) in fields such as finance and marketing, its application in the daily practice of clinical medicine is almost non-existent. In this systematic review, we describe the various areas within...
BACKGROUND AND OBJECTIVES: AI has emerged as a transformative force in clinical medicine, changing the diagnosis, treatment, and management of patients. Tools have been derived for working with ML, DL, and NLP algorithms to analyze large complex medi...
JPMA. The Journal of the Pakistan Medical Association
Apr 1, 2024
OBJECTIVE: To assess the current trends in the field of artificial intelligence in medicine by analysing 100 most cited original articles relevant to the field.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2024
Artificial Intelligence (AI) models are substantially enhancing the capability to analyze complex and multi-dimensional datasets. Generative AI and deep learning models have demonstrated significant advancements in extracting knowledge from unstructu...
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