ReviewMedical review (2021)2026
Beyond the hype: navigating the real-world applications of artificial intelligence (AI) in healthcare.
Review in Medical review (2021), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Addressing Health Disparities through Community Engagement in Artificial Intelligence-Driven Prevention Science.Prevention science : the official journal of the Society for Prevention Research · 2026Review
- Narrow Therapeutic Index Drugs: Regulatory Frameworks, Bioequivalence, and Model-Informed Precision Dosing.Pharmaceutics · 2026Review
- Editorial: Beyond the hype: a global perspective on the real-world utility of AI in healthcare research and service delivery.Frontiers in health services · 2026Article
- Partners in Practice: Primary Care Physicians Define the Role of Artificial Intelligence.Healthcare (Basel, Switzerland) · 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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of Artificial Intelligence (AI) into healthcare signifies one of the most formidable and multifaceted advancements in contemporary medicine. The relentless pace of innovation necessitates a timely synthesis of the field's trajectory, critically evaluating both the promises and complexities of this ongoing transformation. This report aims to map the expansive terrain of AI's deployment across critical healthcare sectors, encompassing clinical decision support, diagnostic imaging, pharmaceutical innovation, biomedical research, and regulatory review. It begins with an analysis of the opportunities and challenges inherent in the real-world implementation of AI technologies, systematically categorizing their adoption and utilities into three core domains: (1) clinical informatics and healthcare delivery, (2) clinical sciences and therapeutic interventions, and (3) drug development and biomedical investigation. Thereafter, the discussion turns to AI's role within the regulatory landscape for drug and medical product reviews and approvals. Adopting a progressive outlook, the author formulates strategic recommendations aimed at surmounting potential barriers, thus facilitating the judicious, efficacious, and equitable integration of AI. Collectively, these analyses provide a narrative that highlights both the transformative potential and the pragmatic imperatives of deploying AI to improve human health.
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.