01
Evaluating clinical AI
Metrics and judges that can't be gamed: clinically weighted scores, report-signability graders, and validation that reflects how radiologists actually read.
EvaluationLLM-as-judgeValidation
Neuroradiologist · Assistant Professor of Radiology
Eduardo Farina
I help healthcare organizations deploy trustworthy AI in medical imaging.
Assistant Professor of Radiology at UT Southwestern Medical Center in Dallas. Neuroradiologist trained at UNIFESP (São Paulo), working where clinical radiology meets machine learning — evaluating, building and deploying AI that holds up in real reading rooms. Associate Editor of Radiology: Artificial Intelligence; member of the RSNA Radiology AI Data Standards (RAIDS) Subcommittee and the SIIM Machine Learning Education Subcommittee.
Assistant Professor2026–
Radiology · UT Southwestern Medical Center
Associate Editor2025–
Radiology: Artificial Intelligence
Subcommittee Member2025–
RSNA Radiology AI Data Standards (RAIDS)
Subcommittee Member2023–
SIIM Machine Learning Education
01
Focus
02
LLMs, VLMs & agents
Report generation, activation steering in vision-language models and agentic workflows — plus hands-on courses that teach radiologists to build their own agents.
Report generationAgentsInterpretability
03
Imaging interoperability
DICOM, FHIR and HL7 plumbing that gets models into PACS and back out — open tooling, vendor deployment bundles, and teaching labs on real PACS/FHIR stacks.
DICOMFHIRPACS
04
Open datasets & challenges
Contributor to RSNA public datasets — cervical spine fracture, abdominal trauma (RATIC), lumbar degenerative disease (LumbarDISC) — and SPR AI challenges.
RSNAKagglePrivacy
02
Open source
- healthcarecliCross-platform CLI for healthcare interoperability — DICOM, FHIR and HL7 from one tool.Python ↗
- MedGemma1.5ReportGeneratorDICOM-to-report generator on MedGemma 1.5, built for research and teaching and deployed on Hugging Face.Python ↗
- hands-on-agentes-jpr2026Hands-on course material: building AI agents for radiologists (JPR 2026).Jupyter ↗
- omnibinBinary classification reports with visualizations and confidence intervals, in one call.Python ↗
03
Selected publications
- 2026What LUNA25 Teaches Us about AI for Lung Cancer Screening
Júdice de Mattos Farina EM, Szarf G
Radiology: Artificial Intelligence 8(5):e260657commentary
- 2026Translating Inference-Time Control to Radiology Vision-Language Models: Activation Steering for Pneumonia Classification on Chest X-rays
Farina EMJM, Esmeraldo MA, Matsuoka FA, Kuriki PEA, Kitamura FC
arXiv 2606.20852preprint
- 2026The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset
Richards TJ, Flanders AE, Colak E, … Farina EMJM, … Talbott JF
Radiology: Artificial Intelligence 8(2):e250480dataset
- 2026Advancing Osteoporosis Opportunistic Screening: Multicenter Validation of a Deep Learning Algorithm Using Abdominal CT Scans
Sarquis Serpa A, Straus Takahashi M, Júdice de Mattos Farina EM, … Kitamura FC
Abdominal Radiology 51:2631–2641
- 2026Foundation Models for Volumetric Medical Imaging: Opportunities, Challenges, and Future Directions
Ghosh T, Sheikhi F, Guo J, … Farina EMJM, Huo Y, Maleki F
Electronics 15(6):1245
- 2025Pixel Tampering: Does Face Redaction Harm Medical AI Performance?
Farina EMJM, Matsuoka FA, Corradi G, … Kitamura FC
Journal of Imaging Informatics in Medicine
- 2025Texts Are More than Notes, They Are Data: A Glimpse into How Machines Understand Text
Kitamura FC, Júdice de Mattos Farina EM, Rodriguez JPM, Moy L, Prevedello LM
Radiology 316(2):e243217
- 2025Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM
Kitamura F, Kline T, Warren D, … Farina E, … Tenenholtz N
Radiology: Artificial Intelligence 7(6):e250137
- 2025Predicting Mortality with Deep Learning: Are Metrics Alone Enough?
Júdice de Mattos Farina EM, Kuriki PEA
Radiology: Artificial Intelligence 7(3):e250224commentary
- 2025Seeing the Unseen: How Unsupervised Learning Can Predict Genetic Mutations from Radiologic Images
Júdice de Mattos Farina EM, Kuriki PEA
Radiology: Artificial Intelligence 7(3):e250243commentary
- 2024The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset
Rudie JD, Lin HM, Ball RL, … Júdice de Mattos Farina EM, Colak E
Radiology: Artificial Intelligence 6(6):e240101dataset
- 2024Smartphone Imaging and AI: A Commentary on Cardiac Device Classification
Júdice de Mattos Farina EM, Celi LA
Radiology: Artificial Intelligence 6(5):e240418commentary
- 2024Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations
Almeida LC, Farina EMJM, Kuriki PEA, Abdala N, Kitamura FC
Radiology: Artificial Intelligence 6(1):e230103
- 2023Social Media Platforms for Radiologists: Perks and Perils
Júdice de Mattos Farina EM, Abdala N, Kitamura FC
Radiology 307(4):e220974
- 2023The RSNA Cervical Spine Fracture CT Dataset
Lin HM, Colak E, Richards T, Kitamura FC, Prevedello LM, … Flanders AE; Dataset Curation Contributors
Radiology: Artificial Intelligence 5(5):e230034dataset
- 2022An Overview of Artificial Intelligence in Oncology
Farina E, Nabhen JJ, Dacoregio MI, Batalini F, Moraes FY
Future Science OA 8(4):FSO787
04
Recent talks & teaching
- Oct 2026Generative AI RoundtableSIIM National Imaging Informatics Course
- Jun 2026Deploying Agentic AI Workflows in Clinical Environments — Learning LabSIIM 2026, Pittsburgh
- Jun 2026AI-Powered Productivity: Practical Tools Beyond Clinical ApplicationsSIIM 2026, Pittsburgh
- May 2026Hands-on: AI Agents for RadiologistsJornada Paulista de Radiologia 2026
- Dec 2025Datasets Made Easy: Turning DICOM Complexity into Conversational SimplicityRSNA 2025, Chicago
- Sep 2025LLMs in Action: Practical AI Applications in RadiologySIIM webinar
- Dec 2024Automatic Report Generation by Image-based AI (course moderator)RSNA 2024, Chicago
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Experience & training
2026–
Assistant Professor of Radiology
UT Southwestern Medical Center, Dallas
2025–2026
AI Consultant & Neuroradiologist
Hospital Israelita Albert Einstein, São Paulo
2024–2026
Clinical Radiologist
Rede D'Or — Vila Nova Star & São Luiz Itaim
2021–2025
AI Consultant
Dasa — MRI acceleration, breast AI, report NLP, open datasets
2025–2026
Neuroradiology & Head and Neck
Rede D'Or complementation program
2024–2025
Neuroradiology Fellowship
UNIFESP
2021–2024
Radiology Residency · Chief Resident
UNIFESP
2020
MD
EMESCAM, Vitória
06
Awards
2021
Silver Medal — Ventilator Pressure Prediction
Kaggle / Google Brain
2021
AI Model Winner's Showcase — X-ray Body Part Classifier
SIIM
2020
RADVID-19 AI Challenge Finalist
RADVID-19
2020
HackMedBR Winner
HackMedBR