Evidence map›Paper›PMID 41931706›Full record

ReviewCardiovascular & hematological agents in medicinal chemistry2026

Anaemia: A Scientific Overview on Types and Recent Advancements in the Detection of Anaemia.

Sreevani Mitta, Eediga Thirumalesh, Guttapalli Siva Nandu, Manganna Gari Sushmitha, Adam Taher Adam Mohammed, Naga Shubha Bojjaranga, Bandlapalli Charitha

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Review in Cardiovascular & hematological agents in medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sreevani MittaDepartment of Pharmaceutics, Raghavendra Institute of Pharmaceutical Education and Research, Autonomous, Anantapur, India.
Eediga ThirumaleshDepartment of Pharmaceutics, Raghavendra Institute of Pharmaceutical Education and Research, Autonomous, Anantapur, India.
Guttapalli Siva NanduDepartment of Pharmaceutics, Raghavendra Institute of Pharmaceutical Education and Research, Autonomous, Anantapur, India.
Manganna Gari SushmithaDepartment of Pharmaceutics, Raghavendra Institute of Pharmaceutical Education and Research, Autonomous, Anantapur, India.
Adam Taher Adam MohammedDepartment of Pharmaceutics, Raghavendra Institute of Pharmaceutical Education and Research, Autonomous, Anantapur, India.
Naga Shubha BojjarangaDepartment of Pharmaceutics, Raghavendra Institute of Pharmaceutical Education and Research, Autonomous, Anantapur, India.
Bandlapalli CharithaDepartment of Pharmaceutics, Raghavendra Institute of Pharmaceutical Education and Research, Autonomous, Anantapur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaemia is the term for low red blood cell numbers or a deficiency of hemoglobin, the protein that carries oxygen in red blood cells. This results in a reduction of oxygen-carrying capacity of blood to various tissues in the body, & lead to symptoms like weakness and exhaustion. There are various forms of anaemia, and they all have unique reasons. The main purpose of the review is to outline the types of anaemia and highlight the potential of artificial intelligence (AI) and machine learning (ML) tools in detection. There is high accuracy in identifying anaemia by using AI and ML tools that include analyzing the laboratory parameters and medical imaging. There are various Machine learning tools to identify anaemia in the past and treat anaemia by using AI tools. Promising approaches for effective anemia identification and treatment are offered by AI-assisted methods. By incorporating these advancements into clinical practice, the burden of undetected or improperly managed anemia could be lessened, and patient outcomes could be improved.

Indexed as

AnemiaArtificial IntelligenceHumansMachine LearningAnaemiacausesdetection by AInon-invasivepathologysymptomstypes

Identifiers

PMID41931706

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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.