| 1. | EXECUTIVE SUMMARY & CONCLUSIONS | 
| 1.1. | The scope of digital health and AI in healthcare | 
| 1.2. | Changing demographics require healthcare reforms | 
| 1.3. | Factors encouraging the rise of digital health | 
| 1.4. | Effective Use of Resources Enabling Cost Efficiency | 
| 1.5. | The Future of Healthcare is Consumer-Led | 
| 1.6. | Why telemedicine? | 
| 1.7. | Driving the uptake of telemedicine | 
| 1.8. | The Future for Telehealth and Telemedicine | 
| 1.9. | Benefits of remote patient monitoring | 
| 1.10. | RPM for hypertension (high blood pressure) | 
| 1.11. | RPM of diabetes and prediabetes | 
| 1.12. | Market Outlook: Hardware for Remote Patient Monitoring | 
| 1.13. | From connected to wearable | 
| 1.14. | Roadmap of wearable sensor technology segmented by key biometrics for health monitoring | 
| 1.15. | Roadmap of wearable sensor technology segmented by key biometrics for health monitoring | 
| 1.16. | Outlook and conclusions for wrist-worn wearables | 
| 1.17. | Software as a medical device (SaMD) and Digital Therapeutics (DTx) | 
| 1.18. | Mental health is a key focus for DTx | 
| 1.19. | Outlook for digital therapeutics | 
| 1.20. | Image recognition AI in medical imaging | 
| 1.21. | Drivers & constraints of AI in medical imaging | 
| 1.22. | Image recognition AI: market penetration 2020-2040 | 
| 1.23. | Remaining challenges for AI in medical imaging | 
| 1.24. | Global challenges in implementing digital health | 
| 2. | INTRODUCTION | 
| 2.1. | The scope of digital health and AI in healthcare | 
| 2.2. | Digital health definitions | 
| 2.3. | Digital health definitions | 
| 2.4. | Changing demographics require healthcare reforms | 
| 2.5. | Global healthcare spending is rising | 
| 2.6. | Effective Use of Resources Enabling Cost Efficiency | 
| 2.7. | Factors encouraging the rise of digital health | 
| 2.8. | Health sensing at the point-of-care | 
| 2.9. | From connected to wearable | 
| 2.10. | Wellness and Prevention | 
| 2.11. | Broadband access is a determinant of health | 
| 2.12. | Role of venture capital | 
| 2.13. | The impact of COVID-19 on digital health | 
| 2.14. | Global challenges in implementing digital health | 
| 3. | TELEHEALTH & TELEMEDICINE | 
| 3.1. | Overview | 
| 3.1.1. | Defining telehealth and telemedicine | 
| 3.1.2. | Telehealth encompasses a range of services | 
| 3.1.3. | There are numerous types of telemedicine | 
| 3.1.4. | Use cases for telehealth and telemedicine | 
| 3.1.5. | Benefits of telehealth and telemedicine | 
| 3.1.6. | Challenges in telehealth and telemedicine | 
| 3.1.7. | Is telehealth a cost-effective solution? | 
| 3.1.8. | Why telemedicine? | 
| 3.1.9. | The growing network of care | 
| 3.1.10. | The rise of telemental health | 
| 3.1.11. | Digital physical therapy | 
| 3.1.12. | Doctors require better ways of communication | 
| 3.1.13. | Driving the uptake of telemedicine | 
| 3.1.14. | US telehealth reimbursement | 
| 3.1.15. | Commercial progress | 
| 3.1.16. | The outlook for telehealth and telemedicine | 
| 3.2. | Remote Patient Monitoring | 
| 3.2.1. | Remote patient monitoring | 
| 3.2.2. | Benefits of remote patient monitoring | 
| 3.2.3. | Components of a remote monitoring system | 
| 3.2.4. | Common measurements and applications | 
| 3.2.5. | Livongo by Teladoc Health | 
| 3.2.6. | New form factors in vital sign monitoring | 
| 3.2.7. | RPM for cardiovascular diseases | 
| 3.2.8. | RPM for hypertension (high blood pressure) | 
| 3.2.9. | Optical measurement techniques - cuff-less blood pressure monitoring | 
| 3.2.10. | RPM for atrial fibrillation & other arrythmias | 
| 3.2.11. | Detection: AliveCor ECG monitoring | 
| 3.2.12. | Diagnosis: electronic skin patches and mobile cardiac telemetry | 
| 3.2.13. | RPM of diabetes and prediabetes | 
| 3.2.14. | RPM technologies for other chronic diseases | 
| 3.2.15. | RPM reimbursement in the US | 
| 3.2.16. | RPM in clinical trials | 
| 3.2.17. | Remote monitoring of the elderly | 
| 3.2.18. | Market Outlook: Hardware for Remote Patient Monitoring | 
| 3.2.19. | Market Forecast 2024-2034: RPM Hardware | 
| 3.2.20. | The outlook for remote patient monitoring | 
| 4. | CONSUMER HEALTH WEARABLES | 
| 4.1. | The Future of Healthcare is Consumer-Led | 
| 4.2. | From connected to wearable | 
| 4.3. | How can technology be made "wearable"? | 
| 4.4. | The applications of wearables to health and wellness are wide ranging | 
| 4.5. | What does wearable technology do? | 
| 4.6. | What are the value proposition for wearables in consumer healthcare? | 
| 4.7. | Drivers for wearable adoption and innovation in consumer health | 
| 4.8. | Wearables: from wellness tools to medical devices | 
| 4.9. | Wearable technology roadmap, segmented by function | 
| 4.10. | Roadmap of wearable sensor technology segmented by key biometrics for health monitoring | 
| 4.11. | Roadmap of wearable sensor technology segmented by key biometrics for health monitoring | 
| 4.12. | Roadmap of market trends for wrist-worn wearables broken down by sector (consumer, sport, medical and enterprise) | 
| 4.13. | Outlook and conclusions for wrist-worn wearables | 
| 4.14. | (Early) Detection of Atrial Fibrillation | 
| 4.15. | Smartwatches for AF detection | 
| 4.16. | Wearables for health insurance | 
| 4.17. | Wrist worn technology: Key players segmented by application | 
| 4.18. | Factions of the healthcare market leverages the popularity of wrist-worn devices for 'BYOD' business models | 
| 4.19. | Glucose, lactose and hydration monitoring for the consumer market | 
| 4.20. | Consumer CGMs driven by metabolic health market | 
| 4.21. | Wearable actuators as tools for the biohacking and longevity community | 
| 4.22. | Future trends in consumer health wearable | 
| 4.23. | How could AI add even more value to wearable data? | 
| 5. | DIGITAL HEALTH APPS AND DIGITAL THERAPEUTICS | 
| 5.1. | Overview | 
| 5.1.1. | Digital therapeutics: app-based healthcare | 
| 5.1.2. | Digital Therapeutics Alliance | 
| 5.1.3. | Mental health is a key focus for DTx | 
| 5.1.4. | Pear Therapeutics | 
| 5.1.5. | Akili Interactive: EndeavorRx | 
| 5.1.6. | Difficulties in realizing the potential of digital therapeutics | 
| 5.2. | Diabetes Management Apps | 
| 5.2.1. | Introduction to diabetes | 
| 5.2.2. | Diabetes management ecosystem | 
| 5.2.3. | The scope of digital health in diabetes management | 
| 5.2.4. | Diabetes is an early adopter of digital health initiatives | 
| 5.2.5. | Diabetes digital health landscape* | 
| 5.2.6. | Diabetes Apps | 
| 5.2.7. | Digital health is driven by increasing device connectivity | 
| 5.2.8. | CGM integration with mobile apps | 
| 5.2.9. | Ecosystem of a digital health program for diabetes | 
| 5.2.10. | Telehealth programs in diabetes management | 
| 5.2.11. | DTx for Diabetes: BlueStar and BlueStar Rx | 
| 5.2.12. | Diabetes lifestyle apps: focal points | 
| 5.2.13. | Addressing prediabetes via digital health | 
| 5.2.14. | The outlook for digital health in diabetes | 
| 6. | IMAGE RECOGNITION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING | 
| 6.1. | Image recognition AI in medical imaging | 
| 6.2. | Drivers & constraints of AI in medical imaging | 
| 6.3. | Benefits of using AI in medical imaging | 
| 6.4. | Deep learning makes automated image recognition possible | 
| 6.5. | Workings of CNNs: how are images processed? | 
| 6.6. | AI in radiology dominates AI and ML-enabled medical devices | 
| 6.7. | Image recognition AI: performance comparison by application | 
| 6.8. | Image recognition AI for cancer detection: Key players | 
| 6.9. | Cancer detection AI: state of development and market readiness | 
| 6.10. | Cancer detection AI: conclusions and outlook | 
| 6.11. | Cancer detection AI: conclusions and outlook (2) | 
| 6.12. | Image recognition AI for cardiovascular disease: key players | 
| 6.13. | CVD detection AI: conclusions and outlook | 
| 6.14. | Image recognition AI for retinal disease: key players | 
| 6.15. | Retinal diseases detection AI: conclusions and outlook | 
| 6.16. | Retinal diseases detection AI: conclusions and outlook (2) | 
| 6.17. | Image recognition AI: market penetration 2020-2040 | 
| 6.18. | Business models: subscription vs pay per use | 
| 6.19. | Remaining challenges | 
| 6.20. | Opportunities for technological improvements | 
| 7. | REGULATION OF DIGITAL HEALTH | 
| 7.1. | Introduction | 
| 7.2. | Telemedicine | 
| 7.3. | Medical devices | 
| 7.4. | Security risks for medical devices | 
| 7.5. | Digital health software | 
| 7.6. | Digital tools not under FDA review | 
| 8. | COMPANY PROFILES | 
| 8.1. | Abbott Diabetes Care | 
| 8.2. | Afon Technology | 
| 8.3. | Aktiia | 
| 8.4. | Alertgy | 
| 8.5. | AliveCor | 
| 8.5.1. | AliveCor | 
| 8.6. | AmCad BioMed | 
| 8.6.1. | AmCad BioMed | 
| 8.7. | Artelus | 
| 8.8. | Arterys | 
| 8.9. | Biobeat Technologies | 
| 8.10. | BioIntelliSense | 
| 8.11. | Bioness | 
| 8.12. | Biosency | 
| 8.13. | Biospectal | 
| 8.14. | Bittium | 
| 8.14.1. | Bittium | 
| 8.15. | Blue Spark Technologies | 
| 8.16. | Blumio | 
| 8.17. | BodiGuide | 
| 8.17.1. | BodiGuide | 
| 8.18. | Bonbouton | 
| 8.19. | Borsam | 
| 8.20. | Brainomix | 
| 8.21. | Breezometer | 
| 8.22. | CardiacSense | 
| 8.22.1. | CardiacSense | 
| 8.23. | Cardiomo | 
| 8.23.1. | Cardiomo | 
| 8.24. | CarePredict | 
| 8.24.1. | CarePredict | 
| 8.25. | CASIS | 
| 8.25.1. | CASIS | 
| 8.26. | CEA Leti (Quantum Technologies) | 
| 8.27. | Cerathrive | 
| 8.28. | Cerca Magnetics | 
| 8.29. | Chronolife | 
| 8.29.1. | Chronolife | 
| 8.29.2. | Chronolife | 
| 8.30. | CIONIC | 
| 8.31. | Circle Cardiovascular Imaging | 
| 8.32. | CorTechs Labs | 
| 8.33. | Cortrium | 
| 8.34. | Cosinuss | 
| 8.34.1. | Cosinuss | 
| 8.34.2. | Cosinuss | 
| 8.35. | CureMetrix | 
| 8.36. | Dexcom | 
| 8.36.1. | DexCom Inc | 
| 8.36.2. | Dexcom | 
| 8.37. | Diabeloop | 
| 8.37.1. | DiabeLoop | 
| 8.38. | Diabnext | 
| 8.39. | DiaMonTech | 
| 8.40. | Digital Diagnostics (formerly known as IDx) | 
| 8.41. | DMS Service | 
| 8.42. | EarlySense | 
| 8.43. | EarSwitch | 
| 8.44. | Enlitic | 
| 8.45. | Epicore Biosystems | 
| 8.45.1. | Epicore Biosystems | 
| 8.46. | EPS BioTechnology Corp / EasyMax Diabetes Care | 
| 8.47. | FibriCheck | 
| 8.48. | Fitscript | 
| 8.49. | GlucoRx | 
| 8.50. | GlucoRx (BioXensor) | 
| 8.51. | Health Care Originals | 
| 8.52. | HeartFlow | 
| 8.53. | Icometrix | 
| 8.54. | IDUN Technologies | 
| 8.55. | iHealth | 
| 8.55.1. | iHealth Labs | 
| 8.56. | Infervision | 
| 8.57. | Infinovo | 
| 8.58. | Intrasense | 
| 8.59. | iRhythm | 
| 8.60. | Isansys | 
| 8.60.1. | Isansys Lifecare | 
| 8.61. | iSchemaView | 
| 8.62. | Kenzen | 
| 8.63. | Know Labs | 
| 8.64. | Life Science Technology | 
| 8.65. | LifeSignals | 
| 8.66. | Lunit | 
| 8.67. | Medtronic Diabetes | 
| 8.68. | Medtrum Technologies | 
| 8.69. | MetaOptima | 
| 8.70. | Mezoo | 
| 8.70.1. | Mezoo | 
| 8.71. | Miiskin | 
| 8.72. | Monit | 
| 8.73. | Nanowear | 
| 8.74. | NeoSoft | 
| 8.75. | Nomadeec | 
| 8.76. | Omron | 
| 8.76.1. | Omron | 
| 8.76.2. | Omron | 
| 8.77. | Optellum | 
| 8.78. | Optimize Health | 
| 8.79. | Orpyx | 
| 8.80. | Oviva | 
| 8.81. | Owlet | 
| 8.81.1. | Owlet | 
| 8.82. | Oxitone | 
| 8.83. | Oxitone Medical | 
| 8.84. | Philips: BioTelemetry | 
| 8.84.1. | Philips | 
| 8.85. | PKVitality | 
| 8.85.1. | PKvitality | 
| 8.86. | Pr3vent | 
| 8.87. | Preventice Solutions | 
| 8.88. | Propeller Health | 
| 8.89. | Proteus Digital Health | 
| 8.90. | Qardio | 
| 8.91. | QT Medical | 
| 8.91.1. | QT Medical | 
| 8.92. | Quad Industries | 
| 8.92.1. | Quad Industries | 
| 8.93. | Quantib | 
| 8.94. | Qure.ai | 
| 8.95. | Raiing Medical Company | 
| 8.96. | Remedee Labs | 
| 8.96.1. | Remedee Labs | 
| 8.97. | Respiri | 
| 8.98. | Rhaeos Inc | 
| 8.99. | Rogalife | 
| 8.100. | Rooti | 
| 8.101. | RSP Systems | 
| 8.101.1. | RSP Systems | 
| 8.102. | ScottCare Cardiovascular Solution | 
| 8.103. | Seers Technology | 
| 8.103.1. | Seers Technology | 
| 8.104. | SemanticMD | 
| 8.105. | Sensoria | 
| 8.106. | Sigknow | 
| 8.106.1. | Sigknow | 
| 8.107. | SigTuple | 
| 8.108. | SkinVision | 
| 8.109. | Smardii | 
| 8.110. | SNAQ | 
| 8.111. | Somatix | 
| 8.112. | Spire | 
| 8.113. | SteadySense | 
| 8.114. | SWMedical | 
| 8.115. | The Surgical Company | 
| 8.116. | Therapixel | 
| 8.117. | Tidepool | 
| 8.118. | toSense | 
| 8.119. | Tytocare | 
| 8.119.1. | Tyto Care | 
| 8.119.2. | Tytocare | 
| 8.120. | UnitedHealthcare | 
| 8.121. | Valencell | 
| 8.121.1. | Valencell | 
| 8.121.2. | Valencell | 
| 8.122. | Vitality | 
| 8.123. | Vivalink | 
| 8.124. | Viz.ai | 
| 8.125. | VUNO | 
| 8.126. | Walk With Path | 
| 8.127. | Withings (U-Scan) | 
| 8.127.1. | Withings | 
| 8.127.2. | Withings Health Solutions | 
| 8.127.3. | Withings Health Solutions | 
| 8.128. | Xandar Kardian | 
| 8.129. | Ypsomed | 
| 8.130. | Zebra |