Titus J. Brinker

Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective

2020 · 180 Zit. · Frontiers in Medicine

Large language model use in clinical oncology

2024 · 51 Zit. · npj Precision Oncology

Prompt injection attacks on vision language models in oncology

2025 · 28 Zit. · Nature Communications

Superhuman performance on urology board questions using an explainable language model enhanced with European Association of Urology guidelines

2024 · 17 Zit. · ESMO Real World Data and Digital Oncology

Comparing Patient’s Confidence in Clinical Capabilities in Urology: Large Language Models Versus Urologists

2024 · 11 Zit. · European Urology Open Science

ESMO basic requirements for AI-based biomarkers in oncology (EBAI)

2025 · 8 Zit. · Annals of Oncology

Evaluating interactions of patients with large language models for medical information

2025 · 7 Zit. · British Journal of Urology

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer

2025 · 5 Zit. · Nature Communications

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

2023 · 5 Zit. · arXiv (Cornell University)

Reply to: False conflict and false confirmation errors are crucial components of AI accuracy in medical decision making

2024 · 4 Zit. · Nature Communications

Human-centered AI as a framework guiding the development of image-based diagnostic tools in oncology: a systematic review

2024 · 2 Zit. · ESMO Real World Data and Digital Oncology

Generative AI in social media health communication: systematic review and meta-analysis of user engagement with implications for cancer prevention

2025 · 1 Zit. · European Journal of Cancer

Patient insights into empathy, compassion and self-disclosure in medical large language models: results from the IPALLM III study

2025 · 1 Zit. · World Journal of Urology

Readability of Chatbot Responses in Prostate Cancer and Urological Care: Objective Metrics Versus Patient Perceptions

2025 · 0 Zit. · Current Oncology

Enhancing clinicians’ trust in large language models via transparent source attribution: A randomized controlled evaluation in uro-oncology

2025 · 0 Zit. · European Journal of Cancer