Evidence map›Paper›PMID 36311461›Full record

ReviewFrontiers in medical technology2022

Integration of artificial intelligence and precision oncology in Latin America.

Liliana Sussman, Juan Esteban Garcia-Robledo, Camila Ordóñez-Reyes, Yency Forero, Andrés F Mosquera, Alejandro Ruíz-Patiño, Diego F Chamorro, Andrés F Cardona

Abstract readReview
In one paragraph

Review in Frontiers in medical technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Review
  2. Article
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  5. Article
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  8. 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

8 authors.

Liliana SussmanDepartment of Neurology, Fundación Universitaria de Ciencias de la Salud, Bogotá, Colombia.
Juan Esteban Garcia-RobledoFoundation for Clinical and Applied Cancer Research - FICMAC, Bogotá, Colombia.
Camila Ordóñez-ReyesFoundation for Clinical and Applied Cancer Research - FICMAC, Bogotá, Colombia.
Yency ForeroFoundation for Clinical and Applied Cancer Research - FICMAC, Bogotá, Colombia.
Andrés F MosqueraFoundation for Clinical and Applied Cancer Research - FICMAC, Bogotá, Colombia.
Alejandro Ruíz-PatiñoFoundation for Clinical and Applied Cancer Research - FICMAC, Bogotá, Colombia.
Diego F ChamorroFoundation for Clinical and Applied Cancer Research - FICMAC, Bogotá, Colombia.
Andrés F CardonaFoundation for Clinical and Applied Cancer Research - FICMAC, Bogotá, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation medicine encompasses different concepts related to healthcare models and technological developments. In Latin America and the Caribbean, healthcare systems are quite different between countries, and cancer control is known to be insufficient and inefficient considering socioeconomically discrepancies. Despite advancements in knowledge about the biology of different oncological diseases, the disease remains a challenge in terms of diagnosis, treatment, and prognosis for clinicians and researchers. With the development of molecular biology, better diagnosis methods, and therapeutic tools in the last years, artificial intelligence (AI) has become important, because it could improve different clinical scenarios: predicting clinically relevant parameters, cancer diagnosis, cancer research, and accelerating the growth of personalized medicine. The incorporation of AI represents an important challenge in terms of diagnosis, treatment, and prognosis for clinicians and researchers in cancer care. Therefore, some studies about AI in Latin America and the Caribbean are being conducted with the aim to improve the performance of AI in those countries. This review introduces AI in cancer care in Latin America and the Caribbean, and the advantages and promising results that it has shown in this socio-demographic context.

Indexed as

artificial intelligenceLatin Americaoncologyprecision oncologytechnology

Identifiers

PMID36311461
PMCPMC9608820

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.