Index

Read full text
Authors: Abhishek Kumar, Pramod Singh Rathore, Sachin Ahuja, Manoj Manuja
Cited by: 0

Abstract

Accelerometer, 143 Acceptance and commitment therapy, 375 Access control systems, 381 Accessibility, 7, 302 Accessibility features, 100 Accessibility in AI healthcare, 95 Accountability responsibility for AI errors in healthcare, 486 responsibility in AI decisionmaking, 6, 64 role in AI epidemiology, 53 Accountability in healthcare AI, 103 Accuracy and reliability, 166 Acute kidney injury, 320 Adaptive ethical principle, 131 Adaptive feedback and support systems, 379 advantages and challenges, 378 function and applications in healthcare, 383 Adaptive feedback systems, 274 Adaptive learning systems, 143 Advanced persistent threats, 262 Advanced sensors, 500 Advanced threat detection applications in healthcare information systems, 271 role in healthcare information systems, 247 Advanced threat detection technologies, 267 Advantages of ensemble methods, 357 Agricultural practices, 467 AI accountability, 130 AI algorithm design, 133 AI algorithm development, 473 AI algorithms, 211, 503 AI and Internet of Things, 149 AI and ML in healthcare management AI and ML in healthcare monitoring individualized treatment planning, 149 medical image analysis, 149 predictive identification of chronic disease risk, 149 remote patient data analysis, 149 AI and ML in wearable devices data analysis and pattern recognition, 147 data validation and noise reduction, 147 personalized health recommendations, 147 AI applications in genetics, 47 AI applications in healthcare, 84 AI bias, 71 AI bias detection tools, 82 AI decision support systems, 26 AI deployment in healthcare, 61 AI design teams, 131 AI ethics, 74 AI explainability, 87 AI in anesthesiology fatigue management, 422 new technologies and safety improvements, 435 overview of applications, 426 AI in clinical trials, 83 AI in dermatological disease monitoring, 220 AI in diabetes management, 45 AI in diabetic retinopathy diagnosis, 470 AI in diagnosis, 39 AI in diagnostics, 69 AI in disease surveillance benefits and challenges, 50 need for transparency and accountability, 50 AI in drug discovery, 447 AI in family medicine case studies and practical applications, 434 overview, 422 AI in healthcare applications, 421 future directions and integration challenges, 437 overview, 421 technologies used, 421 AI in healthcare data privacy, 138 AI in healthcare decision-making, 498 AI in medical diagnostics collaborative creation of standardized datasets, 464 performance variability across populations and settings, 461 privacy and security concerns, 463 AI in medical imaging, 84, 449 AI in neurorehabilitation, 281 AI in pathology, 449 AI in personalized medicine, 83 AI in preoperative planning, 152 AI in surgery, 422 AI in surgery and anesthesia, 422 AI in telemedicine, 354 AI integration, 353 AI integration challenges, 430 AI model performance metrics, 42 AI monitoring, 141 AI system audits, 131 AI system biases, 131 AI system transparency, 132 AI system validation, 449 AI techniques, 39 AI technology lifecycle, 75 AI telehealth impact on chronic disease care, 351 improvements in healthcare metrics, 351 AI transparency, 131 AI-assisted decision support systems, 31 AI-augmented imaging, 278 AI-derived knowledge, 5 AI-driven glaucoma monitoring, 407 AI-driven lifestyle and behavioral interventions, 529 AI-driven personalized treatment plans, 344 AI-driven risk assessment, 25 AI-powered diagnostics, 282 AI-powered mobile apps, 508 AI-powered neurofeedback, 273 AI-powered therapy bots, 274 AI-powered virtual assistants, 278 AI-powered wearable devices, 136 Algorithm design clarity and transparency, 7 transparency and fairness, 91 Algorithm transparency importance for trust in healthcare AI, 385 importance in AI healthcare systems, 141 Algorithmic bias definition and examples, 81 impact on brain health AI applications, 301 impact on decision-making, 5 impact on healthcare disparities, 51 10.

Publication details

Pages
995–1010
Publication date
9 January 2026
Language
EN