மருத்துவத் துறையில் ஆழ்ந்த கற்றல் – AI and ML உண்டாக்கும் அசாதாரண கண்டுபிடிப்புகள்!

வாசிக்க நேரம் இல்லையா? செய்தியைக் கேளுங்கள்;

Update: 2025-08-07 07:00 GMT

ai and ml in healthcare

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AI and ML in Healthcare Infographic - NativeNews.in /* CSS Variables */ :root { --nn-primary: #8aa4e7; --nn-accent: #f21218; --nn-dark: #1a1a1a; --nn-light: #ffffff; --nn-gray: #f5f5f5; --nn-gray-dark: #e0e0e0; --nn-text: #333333; --nn-success: #27ae60; --nn-warning: #f39c12; --nn-info: #3498db; --nn-shadow: 0 2px 10px rgba(0,0,0,0.1); --nn-shadow-hover: 0 5px 20px rgba(0,0,0,0.15); --nn-radius: 12px; --nn-transition: all 0.3s cubic-bezier(0.4,0,0.2,1); --nn-gradient: linear-gradient(135deg, #8aa4e7 0%, #6b88d4 100%); --nn-gradient-health: linear-gradient(135deg, #3498db 0%, #2980b9 100%); } /* Dark Mode */ @media (prefers-color-scheme: dark) { :root { --nn-light: #1a1a1a; --nn-dark: #ffffff; --nn-gray: #2a2a2a; --nn-gray-dark: #3a3a3a; --nn-text: #e0e0e0; } } /* Reset */ * { margin: 0; padding: 0; box-sizing: border-box; } body { font-family: 'Noto Sans Tamil', -apple-system, BlinkMacSystemFont, sans-serif; line-height: 1.6; color: var(--nn-text); background-color: var(--nn-light); -webkit-font-smoothing: antialiased; } /* Container */ .nn-infographic { max-width: 1200px; margin: 0 auto; padding: 20px; } /* Hero Section */ .nn-hero { background: var(--nn-gradient-health); color: white; padding: 40px 30px; border-radius: var(--nn-radius); margin-bottom: 40px; position: relative; overflow: hidden; } .nn-hero::before { content: '🏥'; position: absolute; font-size: 200px; opacity: 0.1; right: -50px; top: -50px; animation: pulse 3s ease-in-out infinite; } @keyframes pulse { 0%, 100% { transform: scale(1); } 50% { transform: scale(1.1); } } .nn-hero h1 { font-size: clamp(1.5rem, 4vw, 2.5rem); margin-bottom: 15px; text-align: left; position: relative; z-index: 1; text-shadow: 2px 2px 4px rgba(0,0,0,0.3); } .nn-subtitle { font-size: clamp(1rem, 2.5vw, 1.25rem); opacity: 0.95; text-align: left; position: relative; z-index: 1; } /* Table of Contents */ .nn-toc { background: white; padding: 30px; border-radius: var(--nn-radius); margin-bottom: 40px; box-shadow: var(--nn-shadow); border: 1px solid var(--nn-gray-dark); } .nn-toc h2 { color: var(--nn-primary); font-size: 1.5rem; margin-bottom: 20px; text-align: left; display: flex; align-items: center; gap: 10px; } .nn-toc-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); gap: 15px; } .nn-toc-item { background: var(--nn-gray); border-radius: 8px; transition: var(--nn-transition); border: 2px solid transparent; position: relative; overflow: hidden; } .nn-toc-item::before { content: ''; position: absolute; top: 0; left: 0; width: 100%; height: 100%; background: var(--nn-gradient-health); opacity: 0; transition: opacity 0.3s ease; } .nn-toc-item:hover { transform: translateY(-3px); border-color: var(--nn-info); box-shadow: var(--nn-shadow-hover); } .nn-toc-item:hover::before { opacity: 0.1; } .nn-toc-link { display: block; padding: 15px 20px; text-decoration: none; color: var(--nn-text); position: relative; z-index: 1; display: flex; align-items: center; gap: 12px; } .nn-toc-icon { font-size: 1.5rem; color: var(--nn-info); } /* Key Stats Grid */ .nn-stats { margin-bottom: 40px; } .nn-stats-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); gap: 20px; } .nn-stat-card { background: white; padding: 30px; border-radius: var(--nn-radius); text-align: center; box-shadow: var(--nn-shadow); border: 2px solid transparent; transition: var(--nn-transition); position: relative; overflow: hidden; } .nn-stat-card::after { content: ''; position: absolute; bottom: 0; left: 0; width: 100%; height: 4px; background: var(--nn-gradient-health); transform: scaleX(0); transition: transform 0.3s ease; } .nn-stat-card:hover { transform: translateY(-5px); border-color: var(--nn-info); } .nn-stat-card:hover::after { transform: scaleX(1); } .nn-stat-icon { font-size: 3rem; margin-bottom: 15px; color: var(--nn-info); } .nn-stat-number { font-size: 2.5rem; font-weight: bold; color: var(--nn-accent); margin-bottom: 10px; animation: countUp 1.5s ease-out; } @keyframes countUp { from { opacity: 0; transform: translateY(20px); } to { opacity: 1; transform: translateY(0); } } .nn-stat-label { font-size: 1rem; color: var(--nn-text); font-weight: 500; } /* Healthcare Features */ .nn-feature-section { margin: 40px 0; } .nn-feature-card { background: white; padding: 40px; margin-bottom: 30px; border-radius: var(--nn-radius); box-shadow: var(--nn-shadow); position: relative; overflow: hidden; } .nn-feature-card h2 { color: var(--nn-primary); font-size: 1.8rem; margin-bottom: 25px; text-align: left; display: flex; align-items: center; gap: 15px; } .nn-feature-content { display: grid; grid-template-columns: 1fr; gap: 25px; } @media (min-width: 768px) { .nn-feature-content { grid-template-columns: 1fr 1fr; align-items: center; } } .nn-feature-text p { margin-bottom: 15px; line-height: 1.8; } /* Process Steps */ .nn-process { background: var(--nn-gray); padding: 30px; border-radius: 10px; margin: 20px 0; } .nn-process-title { color: var(--nn-primary); font-weight: bold; margin-bottom: 20px; font-size: 1.2rem; } .nn-step { background: white; padding: 20px; margin-bottom: 15px; border-radius: 8px; display: flex; align-items: center; gap: 15px; transition: var(--nn-transition); border-left: 4px solid var(--nn-info); } .nn-step:hover { transform: translateX(10px); box-shadow: var(--nn-shadow-hover); } .nn-step-number { width: 40px; height: 40px; background: var(--nn-info); color: white; border-radius: 50%; display: flex; align-items: center; justify-content: center; font-weight: bold; flex-shrink: 0; } /* Accuracy Chart */ .nn-accuracy-chart { margin: 30px 0; padding: 30px; background: white; border-radius: var(--nn-radius); box-shadow: var(--nn-shadow); } .nn-chart-title { color: var(--nn-primary); font-size: 1.5rem; margin-bottom: 25px; text-align: center; } .nn-chart-bars { display: flex; justify-content: space-around; align-items: flex-end; height: 200px; margin-bottom: 20px; } .nn-bar { width: 100px; background: var(--nn-gradient-health); border-radius: 10px 10px 0 0; position: relative; transition: var(--nn-transition); cursor: pointer; } .nn-bar:hover { transform: scaleY(1.05); } .nn-bar-ai { height: 94%; background: var(--nn-gradient); } .nn-bar-human { height: 86%; background: linear-gradient(135deg, #e74c3c 0%, #c0392b 100%); } .nn-bar-label { position: absolute; bottom: -30px; left: 50%; transform: translateX(-50%); font-weight: bold; white-space: nowrap; } .nn-bar-value { position: absolute; top: -30px; left: 50%; transform: translateX(-50%); font-size: 1.5rem; font-weight: bold; color: var(--nn-accent); } /* Feature Grid */ .nn-feature-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); gap: 20px; margin: 30px 0; } .nn-feature-item { background: var(--nn-gray); padding: 25px; border-radius: 10px; text-align: center; transition: var(--nn-transition); border: 2px solid transparent; } .nn-feature-item:hover { transform: scale(1.05); border-color: var(--nn-info); background: white; box-shadow: var(--nn-shadow-hover); } .nn-feature-icon { font-size: 2.5rem; margin-bottom: 15px; color: var(--nn-info); } .nn-feature-name { font-weight: bold; color: var(--nn-primary); margin-bottom: 10px; } /* Timeline */ .nn-timeline { margin: 40px 0; padding: 40px; background: white; border-radius: var(--nn-radius); box-shadow: var(--nn-shadow); } .nn-timeline h2 { color: var(--nn-primary); font-size: 1.8rem; margin-bottom: 30px; text-align: center; } .nn-timeline-item { display: flex; align-items: center; margin-bottom: 30px; position: relative; } .nn-timeline-icon { width: 60px; height: 60px; background: var(--nn-gradient-health); border-radius: 50%; display: flex; align-items: center; justify-content: center; color: white; font-size: 1.5rem; flex-shrink: 0; box-shadow: 0 0 0 4px rgba(52, 152, 219, 0.2); } .nn-timeline-content { margin-left: 25px; background: var(--nn-gray); padding: 20px; border-radius: 10px; flex: 1; position: relative; } .nn-timeline-content::before { content: ''; position: absolute; left: -10px; top: 50%; transform: translateY(-50%); width: 0; height: 0; border-style: solid; border-width: 10px 10px 10px 0; border-color: transparent var(--nn-gray) transparent transparent; } .nn-timeline-title { font-weight: bold; color: var(--nn-primary); margin-bottom: 8px; } /* CTA Section */ .nn-cta { margin: 40px 0; padding: 50px 30px; background: var(--nn-gradient); color: white; border-radius: var(--nn-radius); text-align: center; position: relative; overflow: hidden; } .nn-cta::before { content: '💊'; position: absolute; font-size: 150px; opacity: 0.1; left: -30px; bottom: -30px; animation: float 20s ease-in-out infinite; } @keyframes float { 0%, 100% { transform: translate(0, 0) rotate(-5deg); } 50% { transform: translate(20px, -20px) rotate(5deg); } } .nn-cta h2 { font-size: 2rem; margin-bottom: 20px; position: relative; z-index: 1; } .nn-cta p { font-size: 1.2rem; margin-bottom: 30px; position: relative; z-index: 1; } .nn-cta-buttons { display: flex; gap: 20px; justify-content: center; flex-wrap: wrap; position: relative; z-index: 1; } .nn-cta-btn { display: inline-block; padding: 15px 35px; background: white; color: var(--nn-primary); text-decoration: none; border-radius: 30px; font-weight: bold; transition: var(--nn-transition); box-shadow: 0 4px 15px rgba(0,0,0,0.2); } .nn-cta-btn:hover { transform: translateY(-3px); box-shadow: 0 6px 20px rgba(0,0,0,0.3); } /* Share Buttons */ .nn-share { display: flex; justify-content: center; gap: 15px; margin: 40px 0; flex-wrap: wrap; } .nn-share-btn { padding: 12px 28px; border-radius: 30px; text-decoration: none; color: white; font-weight: 500; transition: var(--nn-transition); display: flex; align-items: center; gap: 8px; } .nn-share-whatsapp { background: #25D366; } .nn-share-facebook { background: #1877f2; } .nn-share-twitter { background: #1DA1F2; } .nn-share-linkedin { background: #0A66C2; } .nn-share-btn:hover { transform: translateY(-3px); box-shadow: var(--nn-shadow-hover); } /* Related Articles */ .nn-related { margin-top: 40px; padding: 30px; background: white; border-radius: var(--nn-radius); box-shadow: var(--nn-shadow); } .nn-related h3 { color: var(--nn-primary); font-size: 1.6rem; margin-bottom: 25px; text-align: left; } .nn-related-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 20px; } .nn-related-item { background: var(--nn-gray); padding: 25px; border-radius: 10px; text-decoration: none; color: var(--nn-text); transition: var(--nn-transition); border: 2px solid transparent; } .nn-related-item:hover { transform: translateY(-3px); border-color: var(--nn-info); background: white; box-shadow: var(--nn-shadow); } .nn-related-title { font-weight: bold; margin-bottom: 10px; color: var(--nn-primary); } /* Footer */ .nn-footer { text-align: center; padding: 30px; background: var(--nn-gray); border-radius: var(--nn-radius); margin-top: 40px; } .nn-footer a { color: var(--nn-primary); text-decoration: none; font-weight: 600; } .nn-footer a:hover { text-decoration: underline; } /* Mobile Responsive */ @media (max-width: 768px) { .nn-infographic { padding: 10px; } .nn-hero { padding: 25px 20px; } .nn-stats-grid, .nn-toc-grid, .nn-feature-grid { grid-template-columns: 1fr; } .nn-feature-card { padding: 25px 20px; } .nn-chart-bars { gap: 20px; } .nn-bar { width: 60px; } .nn-timeline-content { margin-left: 15px; padding: 15px; } .nn-cta-buttons { flex-direction: column; align-items: stretch; } .nn-share { flex-direction: column; align-items: stretch; } .nn-share-btn { justify-content: center; } } /* Print Styles */ @media print { .nn-share, .nn-cta-buttons { display: none; } * { color: black !important; background: white !important; box-shadow: none !important; } } /* Animations */ @keyframes fadeInUp { from { opacity: 0; transform: translateY(30px); } to { opacity: 1; transform: translateY(0); } } .nn-animate { animation: fadeInUp 0.6s ease-out; } /* Accessibility */ .skip-link { position: absolute; top: -40px; left: 0; background: var(--nn-primary); color: white; padding: 8px; text-decoration: none; border-radius: 0 0 4px 0; } .skip-link:focus { top: 0; } /* Reduced Motion */ @media (prefers-reduced-motion: reduce) { * { animation: none !important; transition: none !important; } }

🏥 AI and ML in Healthcare: Doctor-க்கு வந்த Digital Assistant - உங்க Health History-ய AI பார்த்து சொல்லும் என்ன Problem-னு! 💊

AI & ML வந்ததுக்கு அப்புறம் hospital போறது Netflix பார்க்கற மாதிரி easy ஆயிடுச்சு - phone-லயே doctor consultation, AI disease prediction, personalized treatment எல்லாம் possible!

🎯
94%
AI Diagnosis Accuracy
2 Sec
Disease Detection Time
💊
100%
Personalized Treatment
📱
24/7
AI Health Support

🤖 AI Diagnosis - Photo Upload பண்ணா Disease Detect!

Instagram-ல் photo upload பண்றது மாதிரி easy-ஆ இப்போ medical diagnosis கிடைக்கும்! Skin rash இருக்கா? Photo எடுத்து AI app-ல் upload பண்ணுங்க - 2 seconds-ல் என்ன problem, எந்த doctor பார்க்கணும், என்ன medicine எடுக்கணும்னு சொல்லிடும்.

X-ray, CT scan, MRI - எல்லாம் AI analyze பண்ணும். Human doctors miss பண்ற small tumors கூட AI catch பண்ணும். Tamil Nadu government hospitals-லயும் AI diagnostic tools introduce பண்ணிட்டு இருக்காங்க.

AI Diagnosis Process
1
Photo/Scan Upload பண்ணுங்க
2
AI Analysis (2 seconds)
3
Diagnosis & Treatment Suggestion

AI vs Human Doctor Accuracy

94%
AI Diagnosis
86% Human Doctors

AIIMS Delhi Study Results - AI doctors-ஐ replace பண்ணாது, assist பண்ணும்!

💊 ML-Powered Personalized Medicine - உங்களுக்கு மட்டும் Special Treatment!

Netflix உங்க taste-க்கு movies suggest பண்றது மாதிரி, ML algorithms உங்க body-க்கு perfect medicine suggest பண்ணும்! Same disease, same symptoms - but different people-க்கு different medicines work பண்ணும்.

ML உங்க complete health data analyze பண்ணும் - past medical history, family health patterns, DNA analysis, daily habits tracking. Cancer treatment-ல் இது game changer!

🧬
DNA Analysis

Genetic patterns study

📊
Health History

Complete medical records

👨‍👩‍👧
Family Patterns

Hereditary risk factors

🏃
Lifestyle Data

Daily habits tracking

🏃 Predictive Healthcare - Problem வர்றதுக்கு முன்னாடியே Alert!

Wearables Monitor

Heart rate, sleep, stress levels continuous tracking

🤖
AI Analysis

ML models analyze patterns & predict risks

🚨
Early Alert

"Next month heart issue possible - see doctor now!"

🎯 Healthcare Future-ல் நீங்களும் ஒரு Part!

AI & ML healthcare-ஐ completely revolutionize பண்ணிட்டு இருக்கு!


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