User profiles for "author:Lee Wheless"
 | Lee WhelessVanderbilt University Medical Center Verified email at vanderbilt.edu Cited by 1554 |
Nonmelanoma skin cancer and the risk of second primary cancers: a systematic review
L Wheless, J Black, AJ Alberg - Cancer epidemiology, biomarkers & …, 2010 - AACR
Background: Based on empirical evidence, a personal history of nonmelanoma skin cancer
(NMSC) has been hypothesized to be a risk factor for other cancers. Others hypothesize that …
(NMSC) has been hypothesized to be a risk factor for other cancers. Others hypothesize that …
[HTML][HTML] Assessing the accuracy and reliability of AI-generated medical responses: an evaluation of the Chat-GPT model
Background: Natural language processing models such as ChatGPT can generate text-
based content and are poised to become a major information source in medicine and …
based content and are poised to become a major information source in medicine and …
Skin cancer in organ transplant recipients: more than the immune system
L Wheless, S Jacks, KAM Potter, BC Leach… - Journal of the American …, 2014 - Elsevier
Organ transplant recipients (OTRs) are at increased risk of developing nonmelanoma skin
cancers. This has long been thought to be caused by immunosuppression and viral …
cancers. This has long been thought to be caused by immunosuppression and viral …
Segment anything model (sam) for digital pathology: Assess zero-shot segmentation on whole slide imaging
The segment anything model (SAM) was released as a foundation model for image
segmentation. The promptable segmentation model was trained by over 1 billion masks on …
segmentation. The promptable segmentation model was trained by over 1 billion masks on …
Using machine learning algorithms to predict immunotherapy response in patients with advanced melanoma
Purpose: Several biomarkers of response to immune checkpoint inhibitors (ICI) show
potential but are not yet scalable to the clinic. We developed a pipeline that integrates deep …
potential but are not yet scalable to the clinic. We developed a pipeline that integrates deep …
[HTML][HTML] On the cusp: Considering the impact of artificial intelligence language models in healthcare
Goodman et al. discuss how AI technologies like the natural language processing model
Chat-GPT could potentially transform healthcare through knowledge dissemination and …
Chat-GPT could potentially transform healthcare through knowledge dissemination and …
Accuracy and reliability of chatbot responses to physician questions
Importance Natural language processing tools, such as ChatGPT (generative pretrained
transformer, hereafter referred to as chatbot), have the potential to radically enhance the …
transformer, hereafter referred to as chatbot), have the potential to radically enhance the …
Wearmask: Fast in-browser face mask detection with serverless edge computing for covid-19
Z Wang, P Wang, PC Louis, LE Wheless… - arXiv preprint arXiv …, 2021 - arxiv.org
The COVID-19 epidemic has been a significant healthcare challenge in the United States.
According to the Centers for Disease Control and Prevention (CDC), COVID-19 infection is …
According to the Centers for Disease Control and Prevention (CDC), COVID-19 infection is …
Mendelian randomization analysis of genetic proxies of thiazide diuretics and the reduction of kidney stone risk
JL Triozzi, RS Hsi, G Wang, EA Akwo… - JAMA network …, 2023 - jamanetwork.com
Importance Clinical trial data have called into question the efficacy of thiazide diuretics for
the prevention of kidney stones. Objective To identify whether there is an association …
the prevention of kidney stones. Objective To identify whether there is an association …
Simtriplet: Simple triplet representation learning with a single gpu
Contrastive learning is a key technique of modern self-supervised learning. The broader
accessibility of earlier approaches is hindered by the need of heavy computational …
accessibility of earlier approaches is hindered by the need of heavy computational …