ReviewCurrent pharmaceutical design2026
The Role of Artificial Intelligence in Modern Medicine: Clinical Applications, Economic Implications, and Ethical Considerations.
Review in Current pharmaceutical design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial Intelligence (AI) in the medical field has been receiving attention from health professionals and researchers worldwide. The complexity and challenging aspects of healthcare are transformed by AI, with the potential for improvement in patient care and quality of life. The advancements in AI can revolutionize healthcare through integration into clinical practice. These tools can analyse vast datasets and detect patterns, enabling them to exceed human performance in various aspects of healthcare. Implementing augmented medicines allows for superior autonomy and personalised treatment among patients. The increase in the inclusion of AI in medical frontiers has created the need to validate these tools with clinical trials towards the upgrade of medical curriculum with digital medicine and ethical considerations on current monitoring. The current review aimed to discuss the evolution of AI in promising avenues of healthcare such as diagnostics, medical imaging, drug development, clinical trials, surgery, and patient monitoring. The review also addresses the economic impact of AI in healthcare, followed by the efficiency and financial impact on patients and hospitals. Despite the beneficial impact, several challenges, such as ethical and regulatory concerns, also influence the integration of AI. By tackling these challenges, AI's potential can be fully realized, making healthcare more accessible to patients worldwide.
Indexed as
Identifiers
40785175What 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.