Justin Rodriguez, Sarah J Nyante, Louise Henderson, J Keith Smith, Gary L Beck Dallaghan, Sheryl G Jordan
Radiology Resident Journal Club: Enhancements Add Educational Value
Academic radiology
recent advances artificial intelligence ai present broad range possibilities medical research however orthopaedic researchers aiming participate research projects implementing aibased techniques require sound understanding technical fundamentals rapidly developing field initial sections technical primer provide overview general detailed taxonomy ai methods researchers presented technical basics frequently performed machine learning ml tasks classification regression clustering dimensionality reduction additionally spectrum supervision ml including domains supervised unsupervised semisupervised selfsupervised learning explored recent advances neural networks nns deep learning dl architectures rendered essential tools analysis complex medical data warrants rudimentary technical introduction orthopaedic researchers furthermore capability natural language processing nlp interpret patterns human language discussed may offer several potential applications medical text classification patient sentiment analysis clinical decision support technical discussion concludes transformative potential generative ai large language models llms ai research consequently second article series aims equip orthopaedic researchers fundamental technical knowledge required engage interdisciplinary collaboration aidriven orthopaedic research level iv