◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Cristian Navarrete-Dechent

3 papers hereh-index 3170 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedDermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

176 citations · 181 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2026

Large language models improve physician accuracy but lead to false reliance

Tirtha Chanda, Christoph Wies, Franziska Schramm +10

Retrieval-augmented large language models (LLMs) promise source-linked clinical support, but their value depends on whether displayed evidence guides rather than distorts physician…

cs.AI2024★ 5 cited

Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study

Tirtha Chanda, Sarah Haggenmueller, Tabea-Clara Bucher +19

Artificial intelligence (AI) systems have substantially improved dermatologists' diagnostic accuracy for melanoma, with explainable AI (XAI) systems further enhancing clinicians' c…

q-bio.QM2023★ 176 cited

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32

Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.