Risks and benefits of dermatological machine learning health care applications—an overview and ethical analysis

Keyphrases

• Machine Learning 100%
• Ethical Analysis 100%
• Learning Healthcare 100%
• Overview Analysis 100%
• Healthcare Applications 90%
• Model Design 18%
• Training Model 18%
• Patient Outcomes 18%
• Biomedical Ethics 18%
• Health Disparities 18%
• Design Regulation 18%
• Design Training 18%
• Machine Learning Techniques 9%
• Application Model 9%
• Potential Gains 9%
• Clinical Translation 9%
• Visual Patterns 9%
• Confidentiality 9%
• Population Groups 9%
• Standard of Care 9%
• Ethical Issues 9%
• Ethics 9%
• Application Development 9%
• Visual Data 9%
• Literature Search 9%
• Specific Risk 9%
• Healthcare Professionals 9%
• Research Ethics 9%
• Dermatological Diseases 9%
• Patient Health Care 9%
• Skin Surveillance 9%
• Clinical Photography 9%
• Responsible Development 9%
• Knowledge Accessibility 9%
• Keyword-based 9%
• Socially Responsible 9%
• Benign Skin Lesion 9%
• Establish Model 9%
• Machine Learning Ethics 9%

Medicine and Dentistry

• Health Care 100%
• Dermatology 25%
• Health Disparity 16%
• Skin Defect 8%
• Dermatological Disease 8%
• Population 8%