Evidence map›Paper›PMID 38443632›Full record

ArticlePharmaceutical research2024

Healthcare Systems and Artificial Intelligence: Focus on Challenges and the International Regulatory Framework.

Alessia Romagnoli, Francesco Ferrara, Roberto Langella, Andrea Zovi

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alessia RomagnoliTerritorial Pharmaceutical Service, Local Health Unit Lanciano Vasto Chieti, Chieti, Italy.ORCID http://orcid.org/0000-0001-8705-5837
Francesco FerraraPharmaceutical Department, Asl Napoli 3 Sud, Dell'amicizia street 22, 80035, Nola, Naples, Italy. f.ferrara@aslnapoli3sud.it.ORCID http://orcid.org/0000-0001-9298-6783
Roberto LangellaItalian Society of Hospital Pharmacy (SIFO), SIFO Secretariat of the Lombardy Region, Carlo Farini street, 81, 20159, Milan, Italy.
Andrea ZoviMinistry of Health, Viale Giorgio Ribotta 5, 00144, Rome, Italy.ORCID http://orcid.org/0000-0002-6528-2171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNowadays, healthcare systems are coping with the challenge of countering the exponential growth of healthcare costs worldwide, to support sustainability and to guarantee access to treatment for all patients.

methodsArtificial Intelligence (AI) is the technology able to perform human cognitive functions through the creation of algorithms. The value of AI in healthcare and its ability to address healthcare delivery issues has been a subject of discussion within the scientific community for several years.

resultsThe aim of this work is to provide an overview of the primary uses of AI in the healthcare system, to discuss its desirable future uses while shedding light on the major issues related to implications within international regulatory processes. In this manuscript, it will be described the main applications of AI in various aspects of health care, from clinical studies to ethical implications, focusing on the international regulatory framework in countries in which AI is used, to discuss and compare strengthens and weaknesses.

conclusionsThe challenges in regulatory processes to facilitate the integration of AI in healthcare are significant. However, overcoming them is essential to ensure that AI-based technologies are adopted safely and effectively.

Indexed as

AlgorithmsArtificial IntelligenceCoping SkillsDelivery of Health CareHumansAIartificial intelligencehealthcaretherapeutic treatment regulatory framework

Identifiers

PMID38443632

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.