The Clinician–Artificial Intelligence Scientist: A Proposed Career Pathway in Medicine

As artificial intelligence transforms healthcare, a new interdisciplinary role is emerging: the clinician–AI scientist. This viewpoint explores how clinicians can combine medical expertise, artificial intelligence, data science, and implementation science to bridge the gap between AI innovation and meaningful clinical practice.
The article proposes strategies for clinicians, healthcare institutions, and professional organisations to develop this new career pathway and unlock the potential of AI for patient-centred, evidence-based healthcare.
📚 Published in: The Lancet Digital Health
📌 DOI: 10.1016/j.landig.2026.101077
🏆 Event: Scientists Research Awards

Clinician AI scientist, artificial intelligence in medicine, AI in healthcare, clinical AI, healthcare artificial intelligence, clinician scientist, AI scientist career pathway, digital health, medical AI, healthcare innovation, AI implementation science, clinical research, machine learning in medicine, future of medicine, digital healthcare, AI-driven healthcare, medical technology, healthcare professionals, clinical innovation, patient-centred care.

#ClinicianAIScientist #ArtificialIntelligence #AIinHealthcare #HealthcareAI #MedicalAI #ArtificialIntelligenceInMedicine #DigitalHealth #HealthcareInnovation #ClinicalAI #ClinicianScientist #AIScientist #MachineLearning #MachineLearningInMedicine #MedicalResearch #ClinicalResearch #HealthcareTechnology #DigitalHealthcare #FutureOfMedicine #InnovationInHealthcare #ImplementationScience #MedicalInnovation #HealthTech #AIResearch #Medicine #HealthcareProfessionals #PatientCenteredCare #EvidenceBasedMedicine #ScientistsResearchAwards #LancetDigitalHealth #ResearchAwards

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