ArticleJournal of medical Internet research2021
Analyzing Patient Trajectories With Artificial Intelligence.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
31 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Optimizing Care Trajectories with Artificial Intelligence: A Systematic Review and Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2026Pooled it
- Applications of artificial intelligence in peripheral neurosurgery: a systematic review.Neurosurgical review · 2026Pooled it
- Guidelines, Consensus Statements, and Standards for the Use of Artificial Intelligence in Medicine: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Prediction models using artificial intelligence and longitudinal data from electronic health records: a systematic methodological review.Journal of the American Medical Informatics Association : JAMIA · 2023Pooled it
- Prediction of maternal and infant outcomes from longitudinal electronic health records with a mother-child AI agent.Nature medicine · 2026Article
- Artificial Intelligence and Robotic Surgery in Lymphedema: A Scoping Review of Current Applications, Clinical Translation, and Evidence Gaps.Plastic and reconstructive surgery. Global open · 2026Article
- Weight-loss dynamics with tirzepatide versus semaglutide.PNAS nexus · 2026Article
- Evaluation of trajectory analysis for disease risk assessment: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Decoding the hallmarks of GLP-1RA weight-loss super-responders.Biology methods & protocols · 2026Article
- Artificial intelligence-based multiclass classification of etiologies in patients with elevated liver enzymes: A prospective cohort study.Hepatology forum · 2026Article
- Rethinking criminal profiling through cognitive artificial intelligence.Frontiers in artificial intelligence · 2026Review
- A clustering-based trajectory analytics of functional loss and recovery among older adults.PloS one · 2026Article
- Mind the gap: challenges and future directions for content-based image retrieval in clinical radiology.Frontiers in radiology · 2026Article
- Explainable AI for infection prevention and control: modeling CPE acquisition and patient outcomes in an Irish hospital with transformers.BMC medical informatics and decision making · 2025Article
- Transforming Speech-Language Pathology with AI: Opportunities, Challenges, and Ethical Guidelines.Healthcare (Basel, Switzerland) · 2025Review
- Exploring Medical Doctors' Confidence in Artificial Intelligence: The Role of Specialty, Experience, and Perceived Job Security.Healthcare (Basel, Switzerland) · 2025Article
- Deep hierarchical subtyping of multi-organ systemic sclerosis trajectories - a EUSTAR study.NPJ digital medicine · 2025Article
- Artificial intelligence should genuinely support clinical reasoning and decision making to bridge the translational gap.NPJ digital medicine · 2025Review
- An artificial intelligence perspective on geriatric syndromes: assessing the information accuracy and readability of ChatGPT.European geriatric medicine · 2025Article
- Assessing the Impact on Electronic Health Record Burden After Five Years of Physician Engagement in a Canadian Mental Health Organization: Mixed-Methods Study.JMIR human factors · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In digital medicine, patient data typically record health events over time (eg, through electronic health records, wearables, or other sensing technologies) and thus form unique patient trajectories. Patient trajectories are highly predictive of the future course of diseases and therefore facilitate effective care. However, digital medicine often uses only limited patient data, consisting of health events from only a single or small number of time points while ignoring additional information encoded in patient trajectories. To analyze such rich longitudinal data, new artificial intelligence (AI) solutions are needed. In this paper, we provide an overview of the recent efforts to develop trajectory-aware AI solutions and provide suggestions for future directions. Specifically, we examine the implications for developing disease models from patient trajectories along the typical workflow in AI: problem definition, data processing, modeling, evaluation, and interpretation. We conclude with a discussion of how such AI solutions will allow the field to build robust models for personalized risk scoring, subtyping, and disease pathway discovery.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.