Innovative robotic technologies and artificial intelligence in pharmacy and medicine: paving the way for the future of health care—a review

M Stasevych, V Zvarych - Big Data and Cognitive Computing, 2023 - mdpi.com
The future of innovative robotic technologies and artificial intelligence (AI) in pharmacy and
medicine is promising, with the potential to revolutionize various aspects of health care …

Artificial intelligence in facial plastic surgery: a review of current applications, future applications, and ethical considerations

E Choi, KW Leonard, JS Jassal, AM Levin… - Facial Plastic …, 2023 - thieme-connect.com
From virtual chat assistants to self-driving cars, artificial intelligence (AI) is often heralded as
the technology that has and will continue to transform this generation. Among widely …

Design, implementation, and inferential issues associated with clinical trials that rely on data in electronic medical records: a narrative review

A Leviton, T Loddenkemper - BMC Medical Research Methodology, 2023 - Springer
Real world evidence is now accepted by authorities charged with assessing the benefits and
harms of new therapies. Clinical trials based on real world evidence are much less …

Research design and writing of scholarly articles: new artificial intelligence tools available for researchers

S Filetti, G Fenza, A Gallo - Endocrine, 2024 - Springer
Recent advances in artificial intelligence (AI) have introduced transformative capabilities that
are revolutionizing the process of scientific research and communication. AI tools can assist …

[HTML][HTML] Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data …

A Tabaie, A Tran, T Calabria, SS Bennett… - Journal of Medical …, 2024 - jmir.org
Background Diagnostic errors are an underappreciated cause of preventable mortality in
hospitals and pose a risk for severe patient harm and increase hospital length of stay …

[HTML][HTML] Thyroid Ultrasound Appropriateness Identification Through Natural Language Processing of Electronic Health Records

CS Jacome, DS Torres, JW Fan, R Loor-Torres… - Mayo Clinic …, 2024 - Elsevier
Objective To address thyroid cancer overdiagnosis, we aim to develop a natural language
processing (NLP) algorithm to determine the appropriateness of thyroid ultrasounds (TUS) …

Data Extraction and Integration from Unstructured Electronic Health Records

A Bansal, BK Saraswat, B Sharma… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Statistics Extraction and Integration from unstructured EHRs pose a giant venture in
healthcare. Unstructured EHRs derive much of their cost from the substantial amounts of …

Collaborative Forensic Autopsy Documentation and Supervised Report Generation using a Hybrid Mixed-Reality Environment and Generative AI

V Pooryousef, M Cordeil, L Besançon… - … on Visualization and …, 2024 - ieeexplore.ieee.org
Forensic investigation is a complex procedure involving experts working together to
establish cause of death and report findings to legal authorities. While new technologies are …

Automated Extraction of Patient-Centered Outcomes After Breast Cancer Treatment: An Open-Source Large Language Model–Based Toolkit

M Luo, S Trivedi, AW Kurian, K Ward… - JCO Clinical Cancer …, 2024 - ascopubs.org
PURPOSE Patient-centered outcomes (PCOs) are pivotal in cancer treatment, as they
directly reflect patients' quality of life. Although multiple studies suggest that factors affecting …

LLM-AIx: An open source pipeline for Information Extraction from unstructured medical text based on privacy pre-serving Large Language Models

IC Wiest, F Wolf, ME Lessmann, M van Treeck… - medRxiv, 2024 - medrxiv.org
In clinical science and practice, text data, such as clinical letters or procedure reports, is
stored in an unstructured way. This type of data is not a quantifiable resource for any kind of …