| 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 |