[HTML][HTML] Artificial intelligence and machine learning in pain research: a data scientometric analysis
J Lötsch, A Ultsch, B Mayer, D Kringel - Pain Reports, 2022 - journals.lww.com
The collection of increasing amounts of data in health care has become relevant for pain
therapy and research. This poses problems for analyses with classical approaches, which is …
therapy and research. This poses problems for analyses with classical approaches, which is …
Transformers in health: a systematic review on architectures for longitudinal data analysis
Transformers are state-of-the-art technology to support diverse Natural Language
Processing (NLP) tasks, such as language translation and word/sentence predictions. The …
Processing (NLP) tasks, such as language translation and word/sentence predictions. The …
Predicting premature discontinuation of medication for opioid use disorder from electronic medical records
I Lopez, S Fouladvand, S Kollins… - AMIA Annual …, 2024 - pmc.ncbi.nlm.nih.gov
Medications such as buprenorphine-naloxone are among the most effective treatments for
opioid use disorder, but limited retention in treatment limits long-term outcomes. In this study …
opioid use disorder, but limited retention in treatment limits long-term outcomes. In this study …
A comparative effectiveness study on opioid use disorder prediction using artificial intelligence and existing risk models
Opioid use disorder (OUD) is a leading cause of death in the United States placing a
tremendous burden on patients, their families, and health care systems. Artificial intelligence …
tremendous burden on patients, their families, and health care systems. Artificial intelligence …
[引用][C] The ChatGPT therapist will see you now: Navigating generative artificial intelligence's potential in addiction medicine research and patient care
Generative AI offers potential for enhancing addiction medicine research and practice by
analyzing medical literature, improving research efficiency, streamlining clinical workflows …
analyzing medical literature, improving research efficiency, streamlining clinical workflows …