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Published on: Jul 29, 2021
2 minute read
By: Raj Dwivedi

What Tests Are Used To Manage Anemia And What Do They Mean?

The doctors use a number of tests to diagnose anemia. Hb (hemoglobin) is one of the key indicators used in diagnosis. A hemoglobin test is a blood test that measures how much hemoglobin you have in your red blood cells. A hemoglobin test is generally used for detecting:

In addition, a hemoglobin test can also be carried out to assess bone marrow's response to treatment, evaluate possible blood donation and check the levels of red blood cells in the body. There are certain conditions that may interfere with the results of the hemoglobin test. In such cases, it is recommended to get the test done again.

For the hemoglobin test, a sample of your blood is taken and tested in a clinical laboratory [read more about the process here]. The results are expressed as grams of hemoglobin per deciliter (g/dL) or micrograms per liter (mcg/L). Normal range for this test is 12g/dL - 18g/dL (12.1-18.0 g/L) for adults and 9g/dL - 13g/dL (9.0-13.3 g/L) for children. If the test result comes out to be less than 7 gm, it can indicate a serious condition known as severe anemia. In some cases, the doctors may order follow-up tests to assess the current condition of the patient.

Apart from the hemoglobin test, certain other blood tests can be used for detecting low RBCs (RBC count) or abnormal types of RBC (red cell indices) or hemoglobin (Hb). These include complete blood count tests, reticulocyte tests, iron tests, and red blood cell indices.

In some cases, the doctor may opt to do a bone marrow aspiration and exam to check for any abnormalities in the bone marrow cells. In such cases, it of red blood cells is karyotype to rule out chromosomal disorders.

The most common reason for having an inadequate number of red blood cells in the body is an iron deficiency or anemia. Iron plays a significant role in the production of hemoglobin, which is responsible for carrying oxygen from the lungs to the tissues of other parts of the body. Hence, people suffering from iron are known as sickle cell trait. The tests include:

Complete blood count test - The complete blood cell count (CBC) is a routine test that checks the different components of your blood like number of red blood cells, white blood cells and platelets. It also has information about the size and hemoglobin content in each of these cells. A CBC includes tests for the following:

Reticulocyte test - This is a blood test that measures the reticulocytes (immature red blood cells) in the bloodstream. A high level of reticulocytes can indicate increased production of red blood cells by the bone marrow to compensate for anemia, or destruction of very early stage RBCs which are still unable to mature.

Iron tests - Iron is an essential component for RBC production. A test to assess the iron level in your blood is called a serum ferritin test, which measures the amount of iron stored in the body's cells and tissues. Another way to evaluate low iron levels is by carrying out a transferrin saturation test. In this case, the lab technician will extract serum from your blood sample and measure the amount of transferrin protein present in it. Transferrin is a protein that carries iron to the bone marrow where red blood cells are produced. Thus, if there is an insufficient amount of transferrin protein present in the serum, it shows that there is an inadequate level of stored iron.

Hemoglobin tests - A hemoglobin test is generally carried out to detect anemia, especially if the result of CBC tests are inconclusive. During this test, a small sample of blood is collected from your vein and sent to the laboratory for analysis. The test measures the amount of hemoglobin in your red blood cells.

Red cell indices - Red cell indices are tests that measure the size and hemoglobin content of the red blood cells. The values obtained from these tests can be used to detect anemia and other blood disorders.

Karyotype test - It is a lab test used to evaluate chromosomal abnormalities in red blood cells or bone marrow cells

Low blood cell counts also have other causes, such as infections or tumors. In some cases, low blood cells may indicate a more serious condition like bone marrow failure which requires immediate medical intervention to save the patient from death.

Thus, if you are suffering from any of these conditions and symptoms and suspect that you may be anemic, check with your doctor for the necessary tests to confirm or rule out your suspicions. Early detection and treatment of anemia can save you from serious complications like heart attacks, strokes, blood clots, etc.

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AI-Based Disease Detection India: How SecondMedic Is Transforming Early Diagnosis

India’s healthcare landscape is evolving rapidly, with artificial intelligence emerging as one of the most powerful tools for early disease detection. AI-based disease detection India represents a major shift from reactive healthcare to predictive, preventive, and precise medical analysis. Instead of waiting for symptoms to appear, AI enables clinicians and patients to identify risks early through advanced data interpretation.

Rising chronic diseases, increased diagnostic loads, and limited specialist availability make AI essential for early diagnosis in India. The use of AI in medical imaging, risk scoring, and pattern recognition significantly enhances accuracy while reducing time-consuming manual processes. SecondMedic integrates AI-powered diagnostic tools to help individuals detect health conditions in their earliest stages, enabling timely intervention and improved long-term outcomes.

Why India Needs AI-Based Disease Detection

India faces one of the world’s highest burdens of chronic and lifestyle diseases. Many conditions remain undiagnosed until they reach advanced stages, often due to late screenings, limited access to specialists, or lack of early symptoms.

The need for AI-based detection is driven by:

High incidence of silent diseases like diabetes and hypertension
Overloaded healthcare systems
Limited availability of expert radiologists
Rising lifestyle risk factors
Increasing demand for precision diagnostics
Need for faster, more accurate analysis

AI bridges these gaps by providing early alerts, consistent accuracy, and fast interpretations.

How AI Detects Diseases Early

AI-based disease detection uses machine learning models trained on thousands of medical datasets. These models learn to recognize abnormal patterns and subtle changes that the human eye might overlook.

AI analyzes:

Blood test patterns
Vital signs and wearable data
Imaging scans (X-rays, MRIs, CT scans)
Medical history
Genetic predispositions
Lifestyle habits

Through advanced algorithms, AI can identify risks long before symptoms appear, giving patients critical time for prevention and treatment.

AI in Medical Imaging: A Major Breakthrough for India

Medical imaging AI has transformed diagnosis speed and accuracy. In India, where access to radiologists is uneven, AI helps bridge diagnostic gaps.

AI-assisted imaging helps detect:

Lung infections and tuberculosis
Early-stage cancer indicators
Cardiac abnormalities
Brain tumors and neurological issues
Bone fractures and musculoskeletal conditions
Liver and kidney anomalies

SecondMedic uses AI-supported imaging interpretation to enhance precision and reduce reporting delays.

AI for Chronic Disease Prediction

Chronic illnesses often develop silently. By analyzing long-term trends, AI can predict disease progression and alert patients earlier.

AI helps forecast:

Prediabetes to diabetes progression
Heart attack risk
Hypertension development
Chronic kidney disease
Thyroid dysfunction
Metabolic health decline

These predictions allow individuals to take preventive action far in advance.

Personalized Disease Detection with AI

AI enables personalized diagnostics by incorporating each user’s biological and lifestyle data into prediction models.

Personalized AI detection considers:

Age and family history
Diet and activity levels
Sleep patterns
Stress levels
Blood markers
Genetic factors

This creates a highly individualized health risk profile.

SecondMedic’s AI engine creates a personalized risk score for each user, allowing targeted preventive strategies.

AI for Cancer Early Detection

Cancer often goes undiagnosed until it reaches advanced stages. AI helps detect early warning signs by analyzing subtle abnormalities.

AI supports early cancer detection in:

Breast cancer (mammograms)
Cervical cancer (Pap tests and visual scans)
Lung cancer (X-rays and CT scans)
Colon cancer indicators
Skin cancer lesion analysis

This improves survival rates by supporting early diagnosis.

Real-Time Monitoring with AI

Continuous monitoring is essential for early disease detection. AI integrates with wearable devices and digital health tools to track vital parameters in real time.

AI monitors:

Heart rate trends
Oxygen levels
Blood pressure variations
Stress levels
Sleep quality
Blood glucose fluctuations (connected devices)

Real-time alerts notify users of abnormalities that require attention.

AI in Public Health Disease Detection

AI is also used at the population level to identify disease patterns and outbreaks.

AI supports public health by:

Predicting outbreak patterns
Analyzing environmental health impact
Tracking regional disease trends
Supporting government screening programs

This strengthens India’s preventive health strategy.

How SecondMedic Uses AI for Disease Detection

SecondMedic integrates AI tools throughout its digital healthcare ecosystem, helping individuals access early detection and preventive insights.

SecondMedic’s AI capabilities include:

Risk scoring for diseases
AI analysis of medical reports
Predictive analytics dashboards
Early-warning alerts
Integration with wearables
AI-supported doctor consultations

This helps users understand risks clearly and take action early.

Challenges in AI-Based Disease Detection

While AI offers powerful benefits, it must be used responsibly.

Challenges include:

Requirement of high-quality medical data
Need for clinical validation
Maintaining data privacy
Avoiding algorithmic bias
Ensuring user awareness and understanding

SecondMedic follows ethical AI practices aligned with DPDP Act and ABDM standards.

Future of AI-Based Disease Detection in India

AI will continue to redefine diagnostics in India over the next decade.

Future developments include:

Deep AI for full-body scan interpretation
Genomic-based AI predictions
Emotion and mental health detection through AI
AI-assisted virtual triage systems
At-home AI diagnostic kits
National integrated AI health platforms

SecondMedic aims to lead in these innovations by integrating advanced predictive tools.

Conclusion

AI-based disease detection India is shaping a new era of proactive healthcare. By analyzing health patterns, detecting abnormalities early, and providing accurate risk assessment, AI empowers individuals to act before diseases progress. SecondMedic uses AI-driven diagnostic tools to support early detection, preventive care, and long-term health protection.

To explore AI-powered diagnostic support, visit www.secondmedic.com

References

NITI Aayog – AI for Healthcare in India
WHO – AI in Early Disease Detection
ICMR – Chronic Disease Patterns India
IMARC – Indian AI Healthcare Market
FICCI – AI and Precision Medicine India

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