Machine Learning in Healthcare
Machine learning is revolutionizing healthcare by enabling systems to learn from vast amounts of data and improve decision-making without being explicitly programmed. By analyzing complex datasets such as medical images, genetic information, and patient records, machine learning models can assist in early disease detection, predictive analytics, and personalized treatment recommendations. Its applications include diagnosing conditions like cancer from imaging scans, predicting patient outcomes, and optimizing treatment plans based on real-time data. Machine learning also enhances clinical decision support systems, helping healthcare providers make more informed choices.
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Machine Learning in Healthcare Conference Speakers
Recommended Sessions
- Artificial Intelligence
- Clinical Decision Support Systems (CDSS)
- Cybersecurity and Privacy in Healthcare
- Digital Health Technologies
- Digital Therapeutics
- Electronic Health Records (EHR)
- Health Data Analytics and Big Data
- Health Education and Professional Training in E-Health
- Health Information Systems (HIS)
- Healthcare Innovation and Entrepreneurship
- Healthcare Policy and Digital Transformation
- Machine Learning in Healthcare
- Patient-centred Care and Engagement
- Population Health and Public Health Informatics
- Regulatory, Ethical, and Legal Aspects of E-Health
- Robotics in Healthcare
- Telemedicine and Telehealth
- Wearable and Mobile Health (mHealth)
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- Social Determinants of Health - Public Health 2025 (Thailand)
- Sociology of Health and Medicine - Healthcare Management 2025 (Italy)
- Stem Cells and Ageing - Geriatrics Gerontology 2025 (Switzerland)
- Stress and Skin Disorders - Aging 2025 (Spain)
- Substance Abuse and Dependency Management - Public Health-2025 (France)
- Sustainable and Eco-Friendly Practices - SKINCARE 2025 (Netherlands)
- Technology-Driven Public Health - preventive medicine 2025 (France)
- Tele Surgery - Digital Health 2025 (UK)
- Telehealth Treatment - EHEALTH CONGRESS 2025 (Italy)
- Telemedicine - EHEALTH CONGRESS 2025 (Italy)
- Telemedicine and Digital Health Economics - Health Economics 2025 (Italy)
- Telemedicine and Remote Health Services - Public Health-2025 (France)
- Telemedicine and Telehealth - Digital Health 2025 (UK)
- Telemedicine and Virtual Care: - Healthcare 2025 (Spain)
- Telemedicine in Preventive Healthcare - preventive medicine 2025 (France)
- The Future of Skincare: Predictions and Innovations - SKINCARE 2025 (Netherlands)
- Training and Protocals of Anesthesia - CRITICAL CARE 2025 (France)
- Trends in Anesthesia Research - CRITICAL CARE 2025 (France)
- Trends in Natural and Organic Skincare - SKINCARE 2025 (Netherlands)
- Unintended pregnancy - Euro Womens Health 2025 (France)
- Urinary Incontinence - GERIATRICS SUMMIT 2025 (France)
- Urogynecology - Euro Womens Health 2025 (France)
- Vaccination and Immunization Programs - preventive medicine 2025 (France)
- Validation of Biomarkers in Real-World Settings - Biomarkers-2025 (France)
- Virtual Care - EHEALTH CONGRESS 2025 (Italy)
- Virtual Reality (VR) and Augmented Reality (AR) in Medicine - Healthcare 2025 (Spain)
- Vision Problems - GERIATRICS SUMMIT 2025 (France)
- Wearable and Remote Monitoring Devices - Healthcare 2025 (Spain)
- Wearable Health Devices - EHEALTH CONGRESS 2025 (Italy)
- Woman’s Oncology - Euro Womens Health 2025 (France)
- Womens Health - Public Health 2025 (Thailand)
- Women’s Cancer Survivorship and Quality of Life - Womens Health 2025 (Canada)
- Women’s health - Euro Womens Health 2025 (France)
- Women’s Health and Chronic Disease Management - Womens Health 2025 (Canada)
- Women’s Health Disparities: Achieving Equity - Womens Health 2025 (Canada)
- Women’s Health in the Digital Age: Harnessing Technology - Womens Health 2025 (Canada)
- Women’s Health Research and Innovation - Womens Health 2025 (Canada)
- Women’s Mental Health and Well-being - Womens Health 2025 (Canada)
- Workplace Health and Safety - preventive medicine 2025 (France)