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daniyasiddiquiEditor’s Choice
Asked: 23/12/2025In: Technology

How is AI being used in healthcare, finance, and e-governance?

AI being used in healthcare, finance, ...

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  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice
    Added an answer on 23/12/2025 at 12:55 pm

    1. Diagnosis and Medical Imaging The AI analyzes X-rays, CT scans, MRIs, and pathology slides for the diagnosis of diseases such as cancer, tuberculosis, and neurological disorders. Flag abnormalities early Improve diagnostic accuracy: Reduce the To support doctors in large-volume hospitals This isRead more

    1. Diagnosis and Medical Imaging

    The AI analyzes X-rays, CT scans, MRIs, and pathology slides for the diagnosis of diseases such as cancer, tuberculosis, and neurological disorders.

    • Flag abnormalities early
    • Improve diagnostic accuracy: Reduce the
    • To support doctors in large-volume hospitals

    This is even more precious in an area where qualified physicians are few.

    2. Predictive & Preventive Healthcare

    The AI system evaluates patient records, laboratory results, and lifestyle information for the following purposes:

    • Predict Disease Risk (Diabetes/Heart Disease)
    • Early recognition of high-risk patients
    • Encourage preventative approaches over emergency care

    The medical industry is gradually moving from a culture of ‘treat after illness’ to ‘predict before illness.’

    3. Hospital Operations and Administration

    AI can already now be found in the background of many tasks such as:

    • Predicting Bed Occupancy
    • Staff scheduling
    • “Inventory Management” is a module of
    • Automated claims processing

    These ensure reduced human labor and allow healthcare providers to give attention to patients.

    4. Telemedicine and Virtual Health Assistants

    Chatbots assisted by artificial intelligence are helpful:

    • Book Appointments
    • Learn Symptoms
    • Get drug reminders
    • Follow post-discharge instructions

    Additionally, for people in rural and remote areas, it is an improvement in access for guidance on basic healthcare needs.

    5. Fraud Detection and Risk Management

    AI systems track real-time transactions on a scale of millions to:

    • Identify unusual purchase behavior
    • Prevent fraudulent transactions immediately
    • Minimize false positives, as in rule-based systems
    • It safeguards both customers and financial institutions.

    6. Credit Scoring and Loan Decisions

    Conventional credit scoring involves limited data. It is expanded by AI using information from:

    • Transaction behavior
    • Repayment patterns
    • Cash flow trends

    This allows:

    • Quick loan approvals
    • Credit accessibility for people with limited credit experience
    • Enhanced risk evaluation
    • Risk evaluation is one

    7. Algorithmic Trading and Market Analysis

    The AI models assess market trends, news sentiment, and historical information on:

    • Execute trades at high speeds
    • Minimize human bias when making decisions
    • Optimize Portfolio Performance

    Though strategies are determined by human initiative, implementation as well as data processing is done by AI.

    8. Customer Service and Personal Finance

    Artificial intelligence assistants assist customers in the following ways:

    • Account queries
    • Payment issues
    • Investment Insights
    • Budgeting suggestions

    This increases service availability and cuts the pressure on call centers.
    Copyright by journalsp

    9. Automated Public Service Delivery

    AI makes the following processes easier for governments:

    • Applications
    • Verifications
    • Griev
    • Eligibility checks

    This eliminates delays, paperwork, and the need for human intervention.

    10. Data-Driven Policy and Decision-M

    Data is being generated on an enormous scale in various sectors like the healthcare and education sectors, and also in the transportation and welfare sectors. AI is able

    • Identify gaps in service delivery
    • Measure Scheme Performance
    • Encourage evidence-based policy development

    Artificial Intelligence-driven dashboards make it possible for officials to react accordingly.

    11. Detecting Frauds in Welfare Schemes

    AI is employed in:

    • Identify Duplicate Beneficiaries
    • Determining counterfeit claims
    • Prevent fund leakage

    This ensures the targeted group receives the benefits and the public funds are safeguarded.

    12. Citizen Interaction and Accessibility

    AI-based chatbots and voice assistants assist residents in the following ways:

    • Provide access to local language information
    • Applications tracking
    • Get immediate answers without physically coming to our offices

    This is an upgrade for inclusivity, particularly for the elderly.

    Common Benefits Across All Three Sectors

    Although there may be different applications in different places, the same high-impact results are achieved by all:

    • Faster decision-making
    • Decreased human error
    • Cost Optimization
    • More effective use of resources
    • Enhanced user experience

    Most notably, AI enhances human potential, rather than replacing it.

    The Human Reality with AI Implementation

    Although there are efficiency gains associated with AI, there are important implications associated with it as well:

    • Data privacy & security
    • Privacy refers to
    • Bias and fairness
      Regardless,
    • Transparency of decision-making
    • Ethical and regulatory compliance

    For a successful adoption of AI, there is a need to strike a proper balance between technology

    In Simple Words

    • Healthcare: incorporates AI technology in predicting diseases, assisting physicians, and taking care of patients
    • Finance: leverages AI for securing funds, risk management, and personalizing services
    • E-Governance: makes use of AI to provide faster, just, and transparent public services
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