Current status and future direction of cancer research using artificial intelligence for clinical application DOI Creative Commons
Ryuji Hamamoto, Masaaki Komatsu, Masayoshi Yamada

et al.

Cancer Science, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 18, 2024

Abstract The expectations for artificial intelligence (AI) technology have increased considerably in recent years, mainly due to the emergence of deep learning. At present, AI is being used various purposes and has brought about change society. In particular, rapid development generative technology, exemplified by ChatGPT, amplified societal impact AI. medical field no exception, with a wide range technologies introduced basic applied research. Further, AI‐equipped software as device (AI‐SaMD) also approved regulatory bodies. Combined advent big data, data‐driven research utilizing actively pursued. Nevertheless, while great potential, it presents many challenges that require careful consideration. this review, we introduce current status AI‐based cancer research, especially from perspective clinical application, discuss associated future directions, aim helping promote utilizes effective technology.

Language: Английский

Applications of Natural Language Processing in Otolaryngology: A Scoping Review DOI Creative Commons
Norbert Banyi, Biao Ma, Ameen Amanian

et al.

The Laryngoscope, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

To review the current literature on applications of natural language processing (NLP) within field otolaryngology. MEDLINE, EMBASE, SCOPUS, Cochrane Library, Web Science, and CINAHL. The preferred reporting Items for systematic reviews meta-analyzes extension scoping checklist was followed. Databases were searched from date inception up to Dec 26, 2023. Original articles application language-based models otolaryngology patient care research, regardless publication date, included. studies classified under 2011 Oxford CEBM levels evidence. One-hundred sixty-six papers with a median year 2024 (range 1982, 2024) Sixty-one percent (102/166) used ChatGPT published in 2023 or 2024. Sixty NLP clinical education decision support, 42 education, 14 electronic medical record improvement, 5 triaging, 4 trainee monitoring, 3 telemedicine, 1 translation. For 37 extraction, classification, analysis data, 17 thematic analysis, evaluating scientific reporting, manuscript preparation. role is evolving, passing OHNS board simulations, though its requires improvement. shows potential post-treatment monitoring. effective at extracting data unstructured large sets. There limited research administrative tasks. Guidelines use are critical.

Language: Английский

Citations

0
Current status and future direction of cancer research using artificial intelligence for clinical application DOI Creative Commons
Ryuji Hamamoto, Masaaki Komatsu, Masayoshi Yamada

et al.

Cancer Science, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 18, 2024

Abstract The expectations for artificial intelligence (AI) technology have increased considerably in recent years, mainly due to the emergence of deep learning. At present, AI is being used various purposes and has brought about change society. In particular, rapid development generative technology, exemplified by ChatGPT, amplified societal impact AI. medical field no exception, with a wide range technologies introduced basic applied research. Further, AI‐equipped software as device (AI‐SaMD) also approved regulatory bodies. Combined advent big data, data‐driven research utilizing actively pursued. Nevertheless, while great potential, it presents many challenges that require careful consideration. this review, we introduce current status AI‐based cancer research, especially from perspective clinical application, discuss associated future directions, aim helping promote utilizes effective technology.

Language: Английский

Citations

0