ReviewFrontiers in digital health2025
Artificial intelligence in healthcare: applications, challenges, and future directions. A narrative review informed by international, multidisciplinary expertise.
Review in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed.
- Feasibility of AI-Enabled Chatbots for Pre-consultation in HIV Care in Northern Nigeria.International journal of behavioral medicine · 2026Article
- Artificial Intelligence in Prehospital Tele-Emergency Medicine: A Survey of Acceptance and Attitudes.Healthcare (Basel, Switzerland) · 2026Article
- Applications of Artificial Intelligence in the Health Sector: A PRISMA-Based Systematic Review.Healthcare (Basel, Switzerland) · 2026Review
- Article
- Artificial intelligence to support debriefing in simulation-based healthcare education: a scoping review.Advances in simulation (London, England) · 2026Article
- Artificial Intelligence for Weight Management in Children: A Narrative Review.Healthcare (Basel, Switzerland) · 2026Review
- Embodied Intelligence Applications in Health Care Populations: Scoping Review.Journal of medical Internet research · 2026Article
- Toward Intelligent Rehabilitation Program Management: A System-Level Review of AI Architectures.Bioengineering (Basel, Switzerland) · 2026Review
- Mapping the landscape of AI in healthcare in Kazakhstan: a scoping review of readiness, development, and adoption.BMC health services research · 2026Article
- Artificial intelligence and infodemic management: a governance framework for digital public health decision-making.Frontiers in digital health · 2026Article
- The past, present and future use of technology-enabled physical activity interventions in clinical and non-clinical populations: a bibliometric trend analysis across four decades.Frontiers in digital health · 2026Review
- Artificial intelligence in gangrenous cholecystitis: advances in risk factor identification and preoperative prediction-a scoping review.Frontiers in surgery · 2026Review
- How hospital accreditation requirements bridge enablers for AI readiness: interpretative analysis of intersections in framework standards.Frontiers in digital health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
25 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: This narrative review evaluates the role of artificial intelligence (AI) in healthcare, summarizing its historical evolution, current applications across medical and surgical specialties, and implications for allied health professions and biomedical research. Methods: We conducted a structured literature search in Ovid MEDLINE (2018-2025) using terms related to AI, machine learning, deep learning, large language models, generative AI, and healthcare applications. Priority was given to peer-reviewed articles providing novel insights, multidisciplinary perspectives, and coverage of underrepresented domains. Key findings: AI is increasingly applied to diagnostics, surgical navigation, risk prediction, and personalized medicine. It also holds promise in allied health, drug discovery, genomics, and clinical trial optimization. However, adoption remains limited by challenges including bias, interpretability, legal frameworks, and uneven global access. Contributions: This review highlights underexplored areas such as generative AI and allied health professions, providing an integrated multidisciplinary perspective. Conclusions: With careful regulation, clinician-led design, and global equity considerations, AI can augment healthcare delivery and research. Future work must focus on robust validation, responsible implementation, and expanding education in digital medicine.
Indexed as
Identifiers
What Socratic 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 Socratic graph.