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In-depth conversations with leading clinicians on how artificial intelligence is transforming their specialty. Moderated by MICLIN, our AI Clinical Interviewer.
Dr. Mercè Falip - Neurologist, Coordinator of the Epilepsy Unit
Hospital Universitari de Bellvitge · Barcelona, Spain
Dr. Pablo Iriarte Uribe-Echeverría - Consultant Neurologist, Epilepsy
Osakidetza · Basque Country, Spain
Dr. Juan Luis Chico García - Neurologist, Co-founder & CSO of Mautilus eHealth
Hospital Ramón y Cajal · Madrid, Spain
Dr. Lisardo Ugidos de la Varga - Medical Oncologist
Director of Clinical Research, Instituto Oncológico Vithas · Hospital Vithas Madrid La Milagrosa, Spain
Dr. Christos Varounis - Cardiologist, Medical Director, Pharma/MedTech
PhD Cardiology · Biostatistics · Health Economics (LSE) · Greece
Dra. Ana Lucrecia Ruiz Echeverría - Head of Melanoma, Head & Neck Cancer and Neuro-Oncology Section
MD Anderson Cancer Center Madrid · Madrid, Spain
Dr. Daniel Acosta Eyzaguirre - Medical Oncologist
GenesisCare · Centro 360 de Excelencia Oncológica GCCC · Barcelona, Spain
Miquel Tarón - Molecular Biologist, Molecular Diagnostics in Lung Cancer
Badalona, Spain
Dr. Rafael Trujillo Vílchez - Medical Oncologist, Head of Oncology Unit
Hospital Xanit International · Málaga, Spain
Dr. João Costa Antunes - Cardiology Resident
ULSGE (Unidade Local de Saúde Gaia e Espinho) · Portugal
Dr. Francisco Javier Juega Mariño - Nephrology Consultant, Transplantation & Interventional Nephrology
Hospital Universitari Germans Trias i Pujol · Badalona, Spain
Structured video lessons for healthcare professionals who want to understand and apply artificial intelligence in their clinical specialty. Evidence-based, expert-led and designed for busy clinicians.
A comprehensive introduction to how artificial intelligence is transforming the diagnosis, monitoring and treatment of Parkinson's disease and neurological disorders. Covers wearables, EEG analysis, early detection and clinical decision support.
Tumor boards, genomic sequencing, AI-assisted radiotherapy and the role of machine learning in personalised cancer treatment.
From automated EEG reading to wearable seizure detection, cortical dysplasia identification and AI-assisted presurgical evaluation.
By Dr. Juan Luis Chico García · Neurologist at Hospital Ramón y Cajal. How AI models can anticipate neurological disease progression and Parkinson's episodes, from predictive algorithms to early clinical intervention.
New lessons added regularly across all clinical specialties. Want to be notified?
Notify MeCompliant, trackable programs combining KOL-powered engagement, clinical education and actionable insights across all therapeutic areas.
Compliant, trackable programs combining KOL-powered engagement, clinical education and actionable insights across all therapeutic areas.
KOL-moderated scientific programs on clinical practice and disease management.
Advisory roundtables and AI-driven interviews with therapeutic area leaders.
Thought leadership in therapeutic areas: awareness, unmet needs and future treatments.
One program transformed into webinars, AI video, social clips and sales materials.
Real-world insights from HCP surveys identifying barriers and adoption drivers.
Direct access to specialists, hospital managers and patient associations at scale.
From product awareness to measurable technology adoption, connecting your devices with the clinicians who matter.
HCP programs on your technology, built with AI tools.
Live and on-demand sessions in clinical practice.
Clinical leaders on real-world use of your technology.
Roundtables with specialty KOLs for your device.
Device education and replays accessible anytime.
Analytics and qualified leads for your sales team.
MiClinHub.ai interviews leading clinicians across all medical specialties. Their expertise drives our content and their trust is our most valuable asset.
Dr. Falip is the coordinator of the Epilepsy Unit at Hospital Universitari de Bellvitge, one of Catalonia's leading reference centres for epilepsy surgery. With over two decades of clinical experience, she trained at Vall d'Hebron and Hospital Clínic de Barcelona and has built a multidisciplinary team integrating neurologists and neurosurgeons. Her work spans drug-resistant epilepsy, presurgical evaluation, genetic diagnosis and the clinical application of AI in EEG monitoring.
"Predicting epileptic crises is the holy grail. We are still far away - but AI is beginning to see things we cannot."
Dr. Iriarte completed his neurology residency at Hospital Universitario de La Princesa (Madrid, 2020-2024), where he specialised in the Epilepsy Unit. He currently works as a Consultant Neurologist at Osakidetza in the Basque Country. Alongside his clinical practice, he served as Professor of Statistics and Epidemiology at AMIR (2023-2025), developing a rare combination of clinical expertise and methodological rigour in machine learning validation. His research interests include AI-assisted EEG analysis, drug-resistant epilepsy and the real-world application of predictive models in neurology.
"The biggest methodological error is assuming that a high internal AUC makes a model directly applicable to clinical practice without external validation."
Dr. Ugidos trained at Hospital Ramón y Cajal in Madrid, later specialising in predictive biomarkers and genomic sequencing during a research fellowship in Houston, USA. He now directs clinical research at the VITHAS Oncology Institute and chairs TOMAKAKU, the multidisciplinary head and neck tumour board, where he actively integrates AI into staging, treatment planning and protocol design.
"Clinical judgment still outperforms artificial intelligence today — AI helps, but the decision has to be made by the doctor together with the patient."
Dr. Varounis combines clinical cardiology with a strong background in biostatistics and health economics, having completed his PhD in these fields at the London School of Economics (LSE). He has worked both in clinical practice and in Medical Director roles within the industry, giving him a unique perspective on how to validate and translate AI tools into real value for patients and health systems.
"Data without clinical context is just noise — AI in cardiology only earns its place when it is validated against real-world outcomes."
Dra. Ruiz Echeverría leads the Melanoma, Head & Neck Cancer and Neuro-Oncology section at MD Anderson Cancer Center Madrid, one of the world's leading oncology reference centres. Her work spans three distinct therapeutic areas, giving her a cross-cutting view of how AI is being integrated into diagnosis and treatment across very different tumour types.
"AI will not replace the tumour board — but it is already changing how we prepare for it, across melanoma, head and neck and neuro-oncology alike."
Dr. Acosta Eyzaguirre is a medical oncologist at GenesisCare and at the Centro 360 de Excelencia Oncológica GCCC in Barcelona, with a particular focus on gastrointestinal oncology and immunotherapy. His day-to-day clinical experience puts him on the front line for assessing the real impact of AI on therapeutic decision-making.
"In gastrointestinal oncology, AI is most useful when it helps us decide faster — not when it tries to decide for us."
Miquel Tarón is a molecular biologist specialising in molecular diagnostics for lung cancer, based in Badalona. His work focuses on applying AI to NGS panels, liquid biopsy and generative reporting, a key area in precision oncology.
"From NGS panels to liquid biopsy, AI is starting to compress diagnostic timelines that used to take weeks into days."
Dr. Trujillo Vílchez heads the Oncology Unit at Hospital Xanit International in Málaga, where he combines clinical leadership with a close look at how AI-supported evidence is reshaping everyday oncology practice. His perspective bridges the promise of new AI tools with the discipline of rigorous clinical evidence.
"AI in oncology sits between promise and evidence — our job is to make sure it earns its place through the second, not just the first."
Dr. Costa Antunes is a cardiology resident at ULSGE in Portugal, with a growing focus on how AI tools are being introduced into clinical training and everyday cardiology practice. As a resident, he brings a hands-on, early-career perspective on adopting AI at the bedside, from diagnostics support to workflow integration.
"AI won't replace the reasoning we're taught in residency — but it's already changing how fast we get to the right question."
Ana Belén Rodríguez Sáiz is Global Vice President of the Parkinson Franchise at BIAL, having previously led its Global Epilepsy Franchise. Her career spans senior global commercial and marketing leadership roles at Novartis, AbbVie, Eli Lilly and Almirall, driving oncology, dermatology and neurology brand strategy across international markets.
Dr. Chico GarcÃa is a neurologist at Hospital Ramón y Cajal and co-founder and Chief Scientific Officer (CSO) of Mautilus eHealth SL. His work bridges clinical neurology and digital health innovation, bringing a founder's perspective on how AI-driven tools can be developed and validated for real-world neurological practice.
Dr. Juega Mariño is a Nephrology Consultant at Hospital Universitari Germans Trias i Pujol and Associate Professor at the Universitat Autònoma de Barcelona (UAB), with clinical expertise in transplantation and interventional nephrology. His work focuses on applying AI, Big Data and innovation to improve patient care, bringing a data-driven perspective to how new technologies can be translated into everyday nephrology practice.
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