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Kiran Nijjer
Observed names:
K. Nijjer,
Nijjer, Kiran
Institutions:
Stanford Medicine,
Stanford University
Observed institutions:
Stanford Medicine,
Stanford University
OpenAlex ID:
A5119023297
Adapting Large Language Models to Mitigate Skin Tone Biases in Clinical Dermatology Tasks: A Mixed-Methods Study
2025
·
Nijjer, Kiran
, Bui, Ryan
, et al.
·
arXiv (Cornell University)
·
1
PDF
Detecting Hidden Chain-of-Thought in Large Language Models with Linguistic, Behavioral, and Mechanistic Indicators
2026
·
Singh, Armaan
, Le, Ryan Trinh
, et al.
·
arXiv (Cornell University)
PDF
Benchmarking Foundation Models for Pulmonary Embolism Diagnosis and Prognosis to Reveal Demographic Disparities
2026
·
Milan Mohan
, Saketh Lingisetty
, et al.
·
Lecture notes in computer science
0942 Pretrained pathology embeddings enable genomic prediction from routine H&E slides in uveal melanoma
2026
·
K. Nijjer
, A. Ahmed
·
Journal of Investigative Dermatology
0080 Assessing the impact of systemic bias on AI-assisted dermatological diagnosis in multi-agent clinical simulations
2026
·
K. Nijjer
, A. Ahmed
, et al.
·
Journal of Investigative Dermatology
76319 Predicting Clinically Actionable Mutations in Cutaneous Melanoma Using Whole Slide Images and Foundation Models
2026
·
Adnan Ahmed
, Kiran Nijjer
·
Journal of the American Academy of Dermatology
76340 Outcomes of Mohs Micrographic Surgery and Wide Local Excision for Vulvar Malignancies: Systematic Review and Meta-analysis
2026
·
Priyanka Kadam
, Kiran Nijjer
, et al.
·
Journal of the American Academy of Dermatology
41P Non-invasive classification of breast cancer receptor status using Foundation model-derived MRI and clinical representations
2026
·
G. Araya
, S. Diep
, et al.
·
ESMO Open
PDF
32P Whole-slide histopathology embeddings enable non-genomic HER2 biomarker prediction in esophageal adenocarcinoma
2026
·
K. Nijjer
, A. Ahmed
·
ESMO Open
PDF
38eP AI-based identification of TKI-sensitive driver mutations using routine histopathology in lung adenocarcinoma
2026
·
A. Ahmed
, K. Nijjer
·
ESMO Open
272P Histopathology-derived foundation model embeddings predict EIF1AX, GNA11, GNAQ, and SF3B1 mutations in uveal melanoma
2026
·
K. Nijjer
, A. Ahmed
·
ESMO rare cancers.
PDF
The Conversation–Action Gap: Testing Whether Tool Callability Changes LLM Safety Behavior
2026
·
Pokhrel, Hari Raman
, Srishti Jain
, et al.
Causal Decomposition of LLM Agent Failure via Oracle-State Intervention
2026
·
Leqi Jia
, Muhammad Saadat
, et al.
·
Workshop for Research on Agent Language Models (REALM)
PDF
352P Pathomic embeddings improve prediction of clinically actionable breast cancer related mutations from whole slide images
2025
·
A. Ahmed
, K. Nijjer
, et al.
·
ESMO Real World Data and Digital Oncology
LB1040 Large language models display skin tone biases in the evaluation of common dermatological conditions
2025
·
K. Nijjer
, B. Liu
, et al.
·
Journal of Investigative Dermatology
PDF
LB1041 SkinGPT-4 provides a generalizable foundation for fair and customizable skin disease classification models
2025
·
B. Liu
, R. Bui
, et al.
·
Journal of Investigative Dermatology
PDF
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Works count:
17
Citation count:
1
H-index:
1
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