ReviewJournal of personalized medicine2024
The Promise of Explainable AI in Digital Health for Precision Medicine: A Systematic Review.
Review in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.
- Monitoring and evaluation instruments of individual health in community settings: a scoping review.Archives of public health = Archives belges de sante publique · 2026Pooled it
- Beyond one-size-fits-all: mapping information-seeking and decision-making pathways in cancer care.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Ethical Considerations in Health Technology Assessment for Precision Medicine: A Delphi Study in a Greek Setting.Journal of personalized medicine · 2026Article
- Integrated brain and body mechanisms underlying acute stress and trauma-related vulnerability.Neurobiology of stress · 2026Article
- iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.Signal transduction and targeted therapy · 2026Article
- Identification of high-priority radiology reports with unexpected findings using fine-tuned large language models.European radiology · 2026Article
- Personalized Digital Care Program Allocation for Older Adults: Reinforcement Learning-Based Simulation Study.JMIR aging · 2026Article
- Attitudes Towards the Use of Artificial Intelligence in Healthcare: A Conjoint Analysis Survey in Singapore.Asian bioethics review · 2026Article
- AKI-twinX: explainable organ structured digital twin for sepsis AKI trajectory forecasting.medRxiv : the preprint server for health sciences · 2026Article
- The Microbial Mechanisms of Cardiovascular Disease: Oral Dysbiosis as a Systemic Instigator.Journal of cardiovascular translational research · 2026Review
- Navigating the complexity of AI adoption in psychotherapy by identifying key facilitators and barriers.Npj mental health research · 2026Article
- Explainable and secure federated learning for privacy-enhancing skin cancer classification using a lightweight multi-scale CNN.Scientific reports · 2026Article
- Towards accurate artificial intelligence models for strain-level phage-host prediction.Briefings in bioinformatics · 2026Article
- Digital health in clinical pharmacy practice: transforming precision medicine and pharmacometrics in Africa.Frontiers in pharmacology · 2026Review
- Hybrid Convolutional-Gated Recurrent Neural Network for Robust Mobile Health Activities Classification.International journal of telemedicine and applications · 2026Article
- Artificial Intelligence and Multi-Omics in Pharmacogenomics: A New Era of Precision Medicine.Mayo Clinic proceedings. Digital health · 2025Review
- When investigator meets large language models: a qualitative analysis of cancer patient decision-making journeys.NPJ digital medicine · 2025Article
- PPIxGPN: plasma proteomic profiling of neurodegenerative biomarkers with protein-protein interaction-based eXplainable graph propagational network.Briefings in bioinformatics · 2025Article
- Application of comprehensive geriatric assessment in oncology nursing: A literature review on optimizing treatment decisions and patient outcomes.World journal of clinical oncology · 2025Review
- PON-P3: Accurate Prediction of Pathogenicity of Amino Acid Substitutions.International journal of molecular sciences · 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
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review synthesizes the literature on explaining machine-learning models for digital health data in precision medicine. As healthcare increasingly tailors treatments to individual characteristics, the integration of artificial intelligence with digital health data becomes crucial. Leveraging a topic-modeling approach, this paper distills the key themes of 27 journal articles. We included peer-reviewed journal articles written in English, with no time constraints on the search. A Google Scholar search, conducted up to 19 September 2023, yielded 27 journal articles. Through a topic-modeling approach, the identified topics encompassed optimizing patient healthcare through data-driven medicine, predictive modeling with data and algorithms, predicting diseases with deep learning of biomedical data, and machine learning in medicine. This review delves into specific applications of explainable artificial intelligence, emphasizing its role in fostering transparency, accountability, and trust within the healthcare domain. Our review highlights the necessity for further development and validation of explanation methods to advance precision healthcare delivery.
Indexed as
Identifiers
What OpenQuestion holds
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.