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Tiffany H. Kung

Stanford Medicine

Publishes on Artificial Intelligence in Healthcare and Education, Machine Learning in Healthcare, HIV/AIDS Research and Interventions. 16 papers and 4.5k citations.

16Publications
4.5kTotal Citations

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Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
Tiffany H. Kung, Morgan Cheatham, Arielle Medenilla et al.|PLOS Digital Health|2023
Cited by 3.5kOpen Access

We evaluated the performance of a large language model called ChatGPT on the United States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step 2CK, and Step 3. ChatGPT performed at or near the passing threshold for all three exams without any specialized training or reinforcement. Additionally, ChatGPT demonstrated a high level of concordance and insight in its explanations. These results suggest that large language models may have the potential to assist with medical education, and potentially, clinical decision-making.

Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models
Cited by 617Open Access

ABSTRACT We evaluated the performance of a large language model called ChatGPT on the United States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step 2CK, and Step 3. ChatGPT performed at or near the passing threshold for all three exams without any specialized training or reinforcement. Additionally, ChatGPT demonstrated a high level of concordance and insight in its explanations. These results suggest that large language models may have the potential to assist with medical education, and potentially, clinical decision-making.

Gender inequality and HIV transmission: a global analysis
Eugene T Richardson, Sean E Collins, Tiffany H. Kung et al.|Journal of the International AIDS Society|2014
Cited by 132Open Access

INTRODUCTION: The HIV pandemic disproportionately impacts young women. Worldwide, young women aged 15-24 are infected with HIV at rates twice that of young men, and young women alone account for nearly a quarter of all new HIV infections. The incommensurate HIV incidence in young - often poor - women underscores how social and economic inequalities shape the HIV epidemic. Confluent social forces, including political and gender violence, poverty, racism, and sexism impede equal access to therapies and effective care, but most of all constrain the agency of women. METHODS: HIV prevalence data was compiled from the 2010 UNAIDS Global Report. Gender inequality was assessed using the 2011 United Nations Human Development Report Gender Inequality Index (GII). Logistic regression models were created with predominant mode of transmission (heterosexual vs. MSM/IDU) as the dependent variable and GII, Muslim vs. non-Muslim, Democracy Index, male circumcision rate, log gross national income (GNI) per capita at purchasing power parity (PPP), and region as independent variables. RESULTS AND DISCUSSION: There is a significant correlation between having a predominantly heterosexual epidemic and high gender inequality across all models. There is not a significant association between whether a country is predominantly Muslim, has a high/low GNI at PPP, has a high/low circumcision rate, and its primary mode of transmission. In addition, there are only three countries that have had a generalized epidemic in the past but no longer have one: Cambodia, Honduras, and Eritrea. GII data are available only for Cambodia and Honduras, and these countries showed a 37 and 34% improvement, respectively, in their Gender Inequality Indices between 1995 and 2011. During the same period, both countries reduced their HIV prevalence below the 1% threshold of a generalized epidemic. This represents limited but compelling evidence that improvements in gender inequality can lead to the abatement of generalized epidemics. CONCLUSIONS: Gender inequality is an important factor in the maintenance - and possibly in the establishment of - generalized HIV epidemics. We should view improvements in gender inequality as part of a broader public health strategy.

TH1, TH2, and TH17 cells instruct monocytes to differentiate into specialized dendritic cell subsets
Cited by 58Open Access

Monocytes and T helper (T(H)) cells rapidly infiltrate inflamed tissues where monocytes differentiate into inflammatory dendritic cells (DCs) through undefined mechanisms. Our studies indicate that T(H) cells frequently interact with monocytes in inflamed skin and elicit the differentiation of specialized DC subsets characteristic of these lesions. In psoriasis lesions, T(H)1 and T(H)17 cells interact with monocytes and instruct these cells to differentiate into T(H)1- and T(H)17-promoting DCs, respectively. Correspondingly, in acute atopic dermatitis, T(H)2 cells interact with monocytes and elicit the formation of T(H)2-promoting DCs. DC formation requires GM-CSF and cell contact, whereas T(H) subset specific cytokines dictate DC function and the expression of DC subset specific surface molecules. Moreover, the phenotypes of T cell-induced DC subsets are maintained after subsequent stimulation with a panel of TLR agonists, suggesting that T(H)-derived signals outweigh downstream TLR signals in their influence on DC function. These findings indicate that T(H) cells govern the formation and function of specialized DC subsets.

Host community perspectives on trainees participating in short‐term experiences in global health
Tiffany H. Kung, Eugene T Richardson, Tarub S. Mabud et al.|Medical Education|2016
Cited by 53

CONTEXT: High-income country (HIC) trainees are undertaking global health experiences in low- and middle-income country (LMIC) host communities in increasing numbers. Although the benefits for HIC trainees are well described, the benefits and drawbacks for LMIC host communities are not well captured. OBJECTIVES: This study evaluated the perspectives of supervising physicians and local programme coordinators from LMIC host communities who engaged with HIC trainees in the context of the latter's short-term experiences in global health. METHODS: Thirty-five semi-structured interviews were conducted with LMIC host community collaborators with a US-based, non-profit global health education organisation. Interviews took place in La Paz, Bolivia and New Delhi, India. Interview transcripts were assessed for recurrent themes using thematic analysis. RESULTS: Benefits for hosts included improvements in job satisfaction, local prestige, global connectedness, local networks, leadership skills, resources and sense of efficacy within their communities. Host collaborators called for improvements in HIC trainee attitudes and behaviours, and asked that trainees not make promises they would not fulfil. Findings also provided evidence of a desire for parity between the opportunities afforded to US-based staff and those available to LMIC-based partners. CONCLUSIONS: This study provides important insights into the perspectives of LMIC host community members in the context of short-term experiences in global health for HIC trainees. We hope to inform the behaviour of HIC trainees and institutions with regard to international partnerships and global health activities.