Artificial intelligence (AI) is gradually changing medical practice. With recent progress in
digitized data acquisition, machine learning and computing infrastructure, AI applications …

Objectives: Describe the state of Electronic Health Records (EHRs) in 1992 and their
evolution by 2015 and where EHRs are expected to be in 25 years. Further to discuss the …

Large language models (LLMs) have shown promise in medical question answering, with
Med-PaLM being the first to exceed a 'passing'score in United States Medical Licensing …

Objective: The objective of this review is to summarize the state of the art of clinical decision
support (CDS) circa 1990, review progress in the 25 year interval from that time, and provide …

Recent advances in the field of large language models (LLMs) underline their high potential
for applications in a variety of sectors. Their use in healthcare, in particular, holds out …

Computerized clinical decision support (CDS) aims to aid decision making of health care
providers and the public by providing easily accessible health-related information at the …

Most industries have plunged into data automation, but health care organizations have
lagged in moving patients' medical records from paper to computers. In its first edition, this …

Articles about medical diagnostic decision support (MDDS) systems often begin with a
disclaimer such as,“despite many years of research and millions of dollars of expenditures …

DXplain is an evolving computer-based diagnostic decision-support system designed for
use by the physician who has no computer expertise. DXplain accepts a list of clinical …

This review begins with a discussion of PE Meehl's (see record 1959-06148-001) query
regarding when to use one's head (ie, intuition) instead of the formula (ie, statistical or …