Željko Kraljević

King's College London — United Kingdom

Computer Science · Physical Sciences

14h-index990citations58works11.42yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Topic Modeling(22), Machine Learning in Healthcare(21), Biomedical Text Mining and Ontologies(16), COVID-19 Clinical Research Studies(9), Sepsis Diagnosis and Treatment(6)

Publications58 total

Evaluating the Clinical Effectiveness and Patient Experience of a Large Language Model–Based Digital Tool for Home-Based Blood Pressure Management: Mixed Methods Study
JMIR mhealth and uhealth·2025Open Access
Design and implementation of a natural language processing system at the point of care: MiADE (medical information AI data extractor)
BMC Medical Informatics and Decision Making·2025· 1 citedOpen Access
The Psychogenic Machine: Simulating AI Psychosis, Delusion Reinforcement and Harm Enablement in Large Language Models
ArXiv.org·2025· 2 citedOpen Access
Seizure forecasting by tracking cortical response to electrical stimulation
Epilepsia·2025Open Access
Large Language Models for Medical Forecasting -- Foresight 2
arXiv (Cornell University)·2024· 1 citedOpen Access
Natural language processing data services for healthcare providers
BMC Medical Informatics and Decision Making·2024· 14 citedOpen Access
Design and implementation of a natural language processing system at the point of care: MiADE (Medical information AI Data Extractor)
2024· 1 citedOpen Access
Evaluating the clinical effectiveness and patient experience of an AI-based digital tool for home-based blood pressure management
2024Open Access
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Position Paper
Natural Language Processing Journal·2024· 16 citedOpen Access
Predicting Future Disorders via Temporal Knowledge Graphs and Medical Ontologies
IEEE Journal of Biomedical and Health Informatics·2024· 6 citedOpen Access
Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study
The Lancet Digital Health·2024· 84 citedOpen Access
Seizure forecasting by tracking cortical response to electrical stimulation
2023Open Access
Artificial intelligence (AI) for neurologists: do digital neurones dream of electric sheep?
Practical Neurology·2023· 13 citedOpen Access
Validating transformers for redaction of text from electronic health records in real-world healthcare
arXiv (Cornell University)·2023· 4 citedOpen Access
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey
arXiv (Cornell University)·2023· 5 citedOpen Access
Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare
2023· 3 cited
Hospital-wide natural language processing summarising the health data of 1 million patients
PLOS Digital Health·2023· 19 citedOpen Access
AI chatbots not yet ready for clinical use
Frontiers in Digital Health·2023· 148 citedOpen Access
AI chatbots not yet ready for clinical use
2023· 24 citedOpen Access
Diagnostic signature for heart failure with preserved ejection fraction (HFpEF): a machine learning approach using multi-modality electronic health record data
BMC Cardiovascular Disorders·2022· 11 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Richard Dobson(43), James Teo(31), Daniel Bean(27), Rebecca Bendayan(21), Anthony Shek(21), Thomas Searle(19), Łukasz Roguski(12), Joshua Au Yeung(11), Amos Folarin(10), Rosita Zakeri(10), Ajay M. Shah(10), Kevin O’Gallagher(9), Honghan Wu(9), Andrew Pickles(8), Ewan Carr(8), Aurelie Mascio(8), Angus Roberts(8), Robert Stewart(7), Kristin E. Wickstrøm(6), Alvaro Köhn‐Luque(6)