Michael Li

ORCID: 0000-0003-0153-8518
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About
Contact & Profiles
Research Areas
  • Computational Drug Discovery Methods
  • Tuberculosis Research and Epidemiology
  • Artificial Intelligence in Healthcare and Education
  • Digital Communication and Language
  • Genomics and Rare Diseases
  • Digital Media and Visual Art
  • Viral Infections and Vectors
  • Speech and dialogue systems
  • Gaze Tracking and Assistive Technology
  • Online and Blended Learning
  • AI in Service Interactions
  • Diverse Music Education Insights
  • Nasal Surgery and Airway Studies
  • Reconstructive Facial Surgery Techniques
  • Linguistic Variation and Morphology
  • Educational Technology and Pedagogy
  • Glaucoma and retinal disorders
  • Machine Learning in Healthcare
  • Mosquito-borne diseases and control
  • Grief, Bereavement, and Mental Health
  • Emotional Intelligence and Performance
  • COVID-19 diagnosis using AI
  • Palliative Care and End-of-Life Issues
  • Patient Safety and Medication Errors
  • Meta-analysis and systematic reviews

University of North Carolina at Greensboro
2024

University of North Carolina at Chapel Hill
2016-2024

Beckman Laser Institute and Medical Clinic
2009

University of California, Irvine
2009

Massachusetts Institute of Technology
2001

This study aimed to evaluate the performance of large language models (LLMs) in task abstract screening systematic review and meta-analysis studies, exploring their effectiveness, efficiency, potential integration into existing human expert-based workflows.

10.1186/s13643-024-02609-x article EN cc-by-nc-nd Systematic Reviews 2024-08-21

Abstract This study investigated the speech recognition abilities of popular voice assistants when being verbally asked about commonly dispensed medications by a variety participants. Voice recordings 46 participants (12 which had foreign accent in English) were played back to Amazon’s Alexa, Google Assistant, and Apple’s Siri for brand- generic names top 50 most United States. A repeated measures ANOVA indicated that Assistant achieved highest comprehension accuracy both brand medication (...

10.1038/s41746-019-0133-x article EN cc-by npj Digital Medicine 2019-06-20

In response to the COVID-19 pandemic, we established COVID-KOP, a new knowledgebase integrating existing Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP) biomedical knowledge graph with information from recent literature on annotated CORD-19 collection. COVID-KOP can be used effectively generate hypotheses concerning repurposing of known drugs and clinical drug candidates against by establishing respective confirmatory pathways action.COVID-KOP is freely...

10.1093/bioinformatics/btaa718 article EN other-oa Bioinformatics 2020-11-10

<title>Abstract</title> <bold>Objective:</bold>This study aimed to evaluate the performance of Large Language Models (LLMs) in task abstract screening systematic review and meta-analysis studies, exploring their effectiveness, efficiency, potential integration into existing human expert-based workflows. <bold>Methods:</bold>We developed automation scripts Python interact with APIs several LLM tools, including ChatGPT v4.0, v3.5, Google PaLM, Meta Llama 2. This focused on three databases...

10.21203/rs.3.rs-3788921/v1 preprint EN cc-by Research Square (Research Square) 2024-03-27

Electromechanical reshaping (EMR) of cartilage is a novel technique that has significant potential for use in facial reconstructive surgery. EMR achieves permanent shape change by initiating electrochemical redox reactions the vicinity stress concentrations, thereby altering mechanical properties tissue matrix. This study reports six electrode needle-based geometric configuration to reshape cartilage. Rectangular samples (24 x 12 1 mm) rabbit nasal septal cartilages were bent at right angle...

10.1117/12.820701 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2009-02-12

&lt;p&gt;In response to the COVID-19 pandemic, we established COVID-KOP, a new knowledgebase integrating existing ROBOKOP biomedical knowledge graph with information from recent literature on annotated in CORD-19 collection. COVID-KOP can be used effectively test hypotheses concerning repurposing of known drugs and clinical drug candidates against COVID-19. is freely accessible at &lt;a href="https://covidkop.renci.org/"&gt;https://covidkop.renci.org/&lt;/a&gt;. For code instructions for...

10.26434/chemrxiv.12462623 preprint EN cc-by-nc-nd 2020-06-18

In response to the COVID-19 pandemic, we established COVID-KOP, a new knowledgebase integrating existing ROBOKOP biomedical knowledge graph with information from recent literature on annotated in CORD-19 collection. COVID-KOP can be used effectively test hypotheses concerning repurposing of known drugs and clinical drug candidates against COVID-19. is freely accessible at https://covidkop.renci.org/. For code instructions for original ROBOKOP, see: https://github.com/NCATS-Gamma/robokop.

10.26434/chemrxiv.12462623.v1 preprint EN cc-by-nc-nd 2020-06-18

Appears in: EDULEARN21 Proceedings Publication year: 2021Page: 656 (abstract only)ISBN: 978-84-09-31267-2ISSN: 2340-1117doi: 10.21125/edulearn.2021.0183Conference name: 13th International Conference on Education and New Learning TechnologiesDates: 5-6 July, 2021Location: Online

10.21125/edulearn.2021.0183 article EN EDULEARN proceedings 2021-07-01

A medication safety survey was created during our first year pharmacy rotations in order to assess and gain insight how safe patients are with their medications at home. The patient population from the nursing units emergency department of Moses Cone Hospital Greensboro, NC. questions covered topics including take medications, storage, disposal, as well adherence.&#x0D; &#x0D; Type: Student Project

10.24926/iip.v7i3.447 article EN cc-by-nc INNOVATIONS in pharmacy 2016-09-08

10.5015/utmj.v87i1.1213 article EN University of Toronto Medical Journal 2009-12-15
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