A5022334478- Artificial Intelligence in Healthcare and Education
- Cardiac, Anesthesia and Surgical Outcomes
- Medical Malpractice and Liability Issues
- Patient Safety and Medication Errors
- Prostate Cancer Diagnosis and Treatment
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Urinary Bladder and Prostate Research
- Topic Modeling
- Healthcare cost, quality, practices
- Cerebrovascular and Carotid Artery Diseases
- Hernia repair and management
- Shoulder Injury and Treatment
- Colorectal Cancer Surgical Treatments
- Lipoproteins and Cardiovascular Health
- Neural Networks and Applications
- Surgical Simulation and Training
- Machine Learning in Materials Science
- Urological Disorders and Treatments
- Genital Health and Disease
- Sexual function and dysfunction studies
- Urinary and Genital Oncology Studies
- Machine Learning in Healthcare
- Patient-Provider Communication in Healthcare
- Text Readability and Simplification
University of Southern California
2021-2025
Keck Hospital of USC
2021-2023
Yahoo (United Kingdom)
2023
Robert Bosch (Taiwan)
2023
Yale University
2023
To determine the extent and content of academic publishers' scientific journals' guidance for authors on use generative artificial intelligence (GAI).
No AccessJournal of UrologyNew Technology and Techniques1 Oct 2023Evaluating the Effectiveness Artificial Intelligence–powered Large Language Models Application in Disseminating Appropriate Readable Health Information Urology Ryan Davis, Michael Eppler, Oluwatobiloba Ayo-Ajibola, Jeffrey C. Loh-Doyle, Jamal Nabhani, Mary Samplaski, Inderbir Gill, Giovanni E. Cacciamani DavisRyan Davis https://orcid.org/0009-0002-0408-8380 USC Institute Urology, Catherine Joseph Aresty Department Keck School...
Abstract Background Generative Pretrained Model (GPT) chatbots have gained popularity since the public release of ChatGPT. Studies evaluated ability different GPT models to provide information about medical conditions. To date, no study has assessed quality ChatGPT outputs prostate cancer related questions from both physician and perspective while optimizing for patient consumption. Methods Nine cancer-related questions, identified through Google Trends (Global), were categorized into...
This study assessed ChatGPT's ability to generate readable, accurate, and clear layperson summaries of urological studies, compared the performance ChatGPT-generated with original abstracts author-written patient determine its effectiveness as a potential solution for creating accessible medical literature public.Articles from top 5 ranked urology journals were selected. A ChatGPT prompt was developed following guidelines maximize readability, accuracy, clarity, minimizing variability....
Inguinal lymph node dissection plays an important role in the management of melanoma, penile and vulval cancer. is associated with various intraoperative postoperative complications significant heterogeneity classification reporting. This lack standardization challenges efforts to study report inguinal outcomes. The aim this was devise a system standardize reporting perioperative by creating worldwide collaborative, adverse events lymphadenectomy area (CALI) group.
Generative-AI (GAI) models like ChatGPT are becoming widely discussed and utilized tools in medical education. For example, it can be used to assist with studying for exams, shown capable of passing the USMLE board exams. However, there have been concerns expressed regarding its fair ethical use. We designed an electronic survey students across North American colleges gauge their views on current use similar technologies May, 2023. Overall, 415 from at least 28 schools completed...
Intraoperative adverse events (iAEs) occur and have the potential to impact postoperative course. However, iAEs are underreported not routinely collected in contemporary surgical literature. There is no widely utilized system for collection of essential aspects iAEs, there established database standardization dissemination this data that likely implications outcomes patient safety. The Complication Assessment Reporting with Universal Standards (ICARUS) Global Surgical Collaboration initiated...
Background: Standards for reporting surgical adverse events (AEs) vary widely within the scientific literature. Failure to adequately capture AEs hinders efforts measure safety of healthcare delivery and improve quality care. The aim present study is assess prevalence typology perioperative AE guidelines among surgery anesthesiology journals. Materials methods: In November 2021, three independent reviewers queried journal lists from SCImago Journal & Country Rank (SJR) portal...
The swift progress and ubiquitous adoption of Generative AI (GAI), Pre-trained Transformers (GPTs), large language models (LLMs) like ChatGPT, have spurred queries about their ethical application, use, disclosure in scholarly research scientific productions. A few publishers journals recently created own sets rules; however, the absence a unified approach may lead to 'Babel Tower Effect,' potentially resulting confusion rather than desired standardization. In response this, we present...
Artificial intelligence (AI) is being used in a variety of ways to improve healthcare research. AI algorithms can be analyze large amounts medical data, such as patient records and clinical trial results, identify trends patterns that help researchers better understand diseases develop new treatments.
Objectives Despite guidelines endorsing statin and single antiplatelet therapy (SAPT) post-carotid endarterectomy (CEA), these medications may be either under or inappropriately prescribed. We determined rates of new prescriptions as well change in (APT) regimen at discharge. identified characteristics associated with occurrences. Design performed a retrospective Vascular Quality Initiative registry analysis more than 125 000 patients who underwent CEA from 2013 to 2021. Setting The is...
We aim to determine the extent and content of guidance for authors regarding use generative-AI (GAI), Generative Pretrained models (GPTs) Large Language Models (LLMs) powered tools among top 100 academic publishers journals in science. The websites these were screened from between 19th 20th May 2023. Among largest publishers, 17% provided on GAI, which 12 (70.6%) 25 publishers. journals, 70% have GAI. Of those with guidance, 94.1% 95.7% prohibited inclusion GAI as an author. Four (5.7%)...
Event Abstract Back to NeuralEnsemble.Org: Unifying neural simulators in Python ease the model complexity bottleneck Eilif Muller1*, Andrew P. Davison2, T. Brizzi2, D. Bruederle3, M. J. Eppler4, Jens Kremkow5, Pecevski6, Laurent Perrinet7, Michael Schmuker8 and Pierre Yger2 1 EPFL-LCN, Brain Mind Institute, Switzerland 2 UNIC, CNRS, France 3 University of Heidelberg, Germany 4 Honda Research Institute Europe GmbH, United States 5 BCCN Freiburg, 6 TU Graz, Austria 7 CNRS-MRS, 8 Freie...