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The future of artificial intelligence in healthcare

January 27, 2025
Artificial Intelligence
• AI Embedded in Digital Equipment: AI embedded in equipment can improve existing workflows and create new ones. For example, it can help health care professionals or labs create accurate shade maps of teeth or analyze the quality of tooth preparations.
• Smart Treatment Rooms: Improvements in computer vision technology can watch the room to ensure processes and procedures are well followed. This frees up the team to focus on the patient.
• Generating Reports: AI tools can utilize the outcomes of sophisticated image analysis to automatically produce electronic health record (EHR) notes, facilitate communication with referring physicians, and generate patient reports. These reports are then seamlessly posted to the patient portal, with automated notifications alerting the patient to the availability of new information.
• Telehealth: AI can enhance telehealth in several ways. For example, AI analyzing data that is streamed in real-time or assisting the patient and provider in making telehealth sessions more valuable and personalized.

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Remote patient monitoring (RPM) and internet of things (IoT) solutions
RPM is the use of technology to monitor patients’ health remotely, usually outside of traditional clinical settings using IoT devices. This includes wearable devices, sensors, mobile apps, and other digital tools, to collect and transmit patient data such as vital signs, symptoms, medication adherence, and activity levels. This data is then transmitted to health care providers for analysis and intervention.

In dentistry we’ve seen the introduction of AI (“Smart”) toothbrushes, which are equipped with sensors to monitor parameters such as oral hygiene habits (brushing frequency, technique), gum health (bleeding, inflammation), and even teeth grinding patterns (bruxism) remotely. This data can be transmitted to the dental office and integrated into practice software for analysis and feedback.

In the medical field, many sensor, cloud-connected medical IoT (mIoT) devices that are near, worn by, or inside a patient’s body, including inside very small organs (blood vessels, inside the heart, lungs, gut, root canal tumors, etc.) will increasingly become AI-enabled. This helps enhance analysis and precision. For example, wearable ECG monitors/remote heart monitoring, enhanced by AI, enable continuous and accurate monitoring of cardiac health. This offers the potential for more accurate diagnostics, timely interventions, and personalized patient care.

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