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Christopher R. Brigham
,
Waqas A. Buttar
,
Mark Bucksbaum
, and
James B. Talmage

datasets, DL now matches or exceeds human performance on certain vision tasks. Recurrent neural networks (RNNs) are another major DL advancement. Their cyclic connections enable maintaining the memory of prior inputs, lending RNNs to process sequential data like text and speech. 29 Long short-term memory networks overcame earlier challenges by preserving longer-range dependencies. 30 RNNs led to dramatic improvements in speech recognition and natural language processing. Predictive analytics leverages statistical and ML techniques to analyze current and

in AMA Guides® Newsletter
Christopher R. Brigham
,
Waqas A. Buttar
,
Mark Bucksbaum
, and
James B. Talmage

approaches are useful tools in reducing physician burnout. 5 Other approaches, such as clinical decision-making, reflect higher risk. From clinical decision support to drug discovery, AI techniques such as machine learning (ML) and natural language processing (NLP) demonstrate immense potential to improve the quality of care and health outcomes. 6 Many of the participants in the medicolegal field are involved with workers' compensation systems. It appears that these systems are slower to adopt technology than other arenas. Therefore, it is useful to consider how AI could

in AMA Guides® Newsletter