ReviewCureus2024
Unveiling the Influence of AI Predictive Analytics on Patient Outcomes: A Comprehensive Narrative Review.
Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 4 of them syntheses 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
93 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Sustainable smart sensing and AI-driven platforms for real-time detection and monitoring of mycotoxins across the food supply chain.Mycotoxin research · 2026Pooled it
- Artificial intelligence for HIV care: a global systematic review of current studies and emerging trends.Journal of the International AIDS Society · 2025Pooled it
- Machine learning-based models and radiomics: can they be reliable predictors for meningioma recurrence? A systematic review and meta-analysis.Neurosurgical review · 2025Pooled it
- AI in Medical Questionnaires: Scoping ReviewJournal of medical Internet research · 2025Pooled it
- Mapping National Governance of AI for Health: Protocol for a Global Scoping Review.JMIR research protocols · 2026Article
- Embracing Digital as a Paradigm Shift in Medical Affairs.Pharmaceutical medicine · 2026Review
- Teaching AI ethics in medical schools: a scoping review protocol on the ethical-technical balance in curricular frameworks.BMJ open · 2026Article
- Integration of Federated Learning and Blockchain in Health Care: Tutorial on Medical Data, Architectures, Privacy, Security, and Regulatory Compliance.Journal of medical Internet research · 2026Article
- Integrating AI into infection control: Evaluating the accuracy and consistency of four leading platforms across three regions.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2026Article
- Integrative Dermatology for Longevity: The Synergy of Topical and Internal Approaches.Dermatology and therapy · 2026Review
- From Prediction to Horizon: Clinicians' Negotiations of AI-Driven Personal Prognoses in Clinical Practice.Sociology of health & illness · 2026Article
- Ethical engagement with artificial intelligence in faculty research education: evaluation of the New Knowledge Help (NKH) approach.BMC medical education · 2026Article
- The problem with the 'truth': rethinking ground truth for artificial intelligence in endometriosis diagnosis.Human reproduction (Oxford, England) · 2026Article
- Review
- Inpatient Recovery of Function After Knee Replacement: A Longitudinal Evaluation Across Four Sequential Care Pathway Redesigns.Learning health systems · 2026Article
- Nanocarriers, Smart Biomaterials and Emerging Therapeutics for Psoriasis: Current Progress and Future Directions.AAPS PharmSciTech · 2026Review
- Artificial Intelligence in African Cardiovascular Care: Opportunities, Challenges, and Pathways to Improved Outcomes.Public health challenges · 2026Review
- Immunosenescence in Human Disease: Mechanistic Insights and Therapeutic Opportunities.Biomolecules & therapeutics · 2026Review
- Predictive health index: integrating body composition and heart rate variability metrics with artificial intelligence to predict chronic disease risk and specific chronic non-communicable diseases.Hormones (Athens, Greece) · 2026Article
- Artificial Intelligence in Lung Cancer: A Narrative Review of Recent Advances in Diagnosis, Biomarker Discovery, and Drug Development.Pharmaceutics · 2026Review
33 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This comprehensive literature review explores the transformative impact of artificial intelligence (AI) predictive analytics on healthcare, particularly in improving patient outcomes regarding disease progression, treatment response, and recovery rates. AI, encompassing capabilities such as learning, problem-solving, and decision-making, is leveraged to predict disease progression, optimize treatment plans, and enhance recovery rates through the analysis of vast datasets, including electronic health records (EHRs), imaging, and genetic data. The utilization of machine learning (ML) and deep learning (DL) techniques in predictive analytics enables personalized medicine by facilitating the early detection of conditions, precision in drug discovery, and the tailoring of treatment to individual patient profiles. Ethical considerations, including data privacy, bias, and accountability, emerge as vital in the responsible implementation of AI in healthcare. The findings underscore the potential of AI predictive analytics in revolutionizing clinical decision-making and healthcare delivery, emphasizing the necessity of ethical guidelines and continuous model validation to ensure its safe and effective use in augmenting human judgment in medical practice.
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.