AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Documentation

Showing 51 to 60 of 157 articles

Clear Filters

Developing a machine learning model to detect diagnostic uncertainty in clinical documentation.

Journal of hospital medicine
BACKGROUND AND OBJECTIVE: Diagnostic uncertainty, when unrecognized or poorly communicated, can result in diagnostic error. However, diagnostic uncertainty is challenging to study due to a lack of validated identification methods. This study aims to ...

A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes.

Applied clinical informatics
BACKGROUND: The 21st Century Cures Act mandates the immediate, electronic release of health information to patients. However, in the case of adolescents, special consideration is required to ensure that confidentiality is maintained. The detection of...

[Artificial intelligence: How will ChatGPT and other AI applications change our everyday medical practice?].

Medizinische Klinik, Intensivmedizin und Notfallmedizin
BACKGROUND: With the free provision of the chat robot "ChatGPT" by the company OpenAI in November 2022, an application of artificial intelligence (AI) became tangible for everyone.

Conceptual framework and documentation standards of cystoscopic media content for artificial intelligence.

Journal of biomedical informatics
BACKGROUND: The clinical documentation of cystoscopy includes visual and textual materials. However, the secondary use of visual cystoscopic data for educational and research purposes remains limited due to inefficient data management in routine clin...

Supporting the Capture of Social Needs Through Natural Language Processing.

Journal of the American Board of Family Medicine : JABFM
Social factors impact morbidity and mortality among patients. Documenting social needs in the clinical notes is currently widely done by family physicians. The unstructured format of information on social factors in electronic health records limits t...

Utility of ChatGPT in Clinical Practice.

Journal of medical Internet research
ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical practice. In clinical decision support, ChatGPT has been used to generate accurate differential diagnosis lists, support clinical decision-making, optimi...

Artificial Intelligence in Surgical Documentation: A Critical Review of the Role of Large Language Models.

Annals of biomedical engineering
This article provides a critical analysis of the application of the advanced language model, GPT-4, in generating surgical operative notes, with a focus on its use in ophthalmology as presented by Waisberg et al. The discussion underscores the inhere...

[Application possibilities of digital tools in postoperative pain therapy].

Schmerz (Berlin, Germany)
BACKGROUND: Recently, digital tools, such as smartphone-based applications and the use of artificial intelligence have increasingly found their way into pain medicine. This could enable new treatment approaches in postoperative pain management. There...

Assisted documentation as a new focus for artificial intelligence in endoscopy: the precedent of reliable withdrawal time and image reporting.

Endoscopy
BACKGROUND : Reliable documentation is essential for maintaining quality standards in endoscopy; however, in clinical practice, report quality varies. We developed an artificial intelligence (AI)-based prototype for the measurement of withdrawal and ...

Social Determinants of Health in EMS Records: A Mixed-methods Analysis Using Natural Language Processing and Qualitative Content Analysis.

The western journal of emergency medicine
Social determinants of health (SDoH) are known to impact the health and well-being of patients. However, information regarding them is not always collected in healthcare interactions, and healthcare professionals are not always well-trained or equip...