Invisible Intelligence: How Passive AI Could Transform Care Without Touching the Patient

The Role of Passive AI in Revolutionizing Patient Care

In several countries worldwide, artificial intelligence is being applied extensively as a technological tool AI has transformed industries, boosted efficiency, and opened up opportunities for innovation due to its capability to model human cognitive processes.

In recent years, policymakers have been supporters of a wide variety of intelligent applications that use artificial intelligence and its specialized components to make predictions and recommendations in a number of sectorbes, including social media, data security, healthcare, finance, agriculture, and education.

Key Benefits of Passive AI in Healthcare

The healthcare industry has witnessed an immediate adoption and application of artificial intelligence) tools in many different types of areas. AI has become a viable tool in response to the pandemic and is currently employed for risk assessment, medication discovery and invention, medical imaging and evaluation, treatment planning and personalized medicine, disease identification and diagnosis, and analytical prediction.

It is important for all healthcare providers, particularly those in managerial positions within the health system, to be aware of possible shifts, estimate their effects, and make strategic decisions for the short to prolonged term considering AI has the potential to significantly transform physician roles and modify medical practice.

Real-World Applications of Passive AI in Healthcare

Due to each of our patients follow us between the clinic or inpatient setting to the operating room alongside the postoperative period, surgical documentation is crucial for our diverse patient group.

In order to express important information precisely, surgeons aren't recognized for writing comprehensive notes. Surgeons frequently slip short of that, however; according to a single site research, 28% of postoperative notes failed to identify symptoms change, and 67% of notes did not record functional progress.

Hand surgeons in one institution have been identified to be sensitive to bias in medical reporting in another review of medical records. While surgical documentation could certainly be improved, medical record documentation by surgeons has not received much attention in the literature.

Challenges and Ethical Considerations of Passive AI

Health care providers are opening to the employing of AI and passive sensing in healthcare; however, therapeutic relationships, practitioner workloads, and service user well-being are crucial considerations.

For digital technologies and systems to be user-friendly, service users and physicians must be involved in their growth. Facilitating clinician involvement requires the development and education of precise laws and regulations on the use of passive sensing and AI in health care, including risk management and data safety standards. It is also important to think regarding the way physicians and service users might offer input on how passive sensing and AI are being used in practice.

The Future of Passive AI in Transforming Healthcare

A new wave of ambient intelligence applications has appeared as a result of developments in artificial intelligence, machine learning, robotics, and sensors from wearables to Internet of Things (IoT)enabled contactless sensors.

Healthcare is growing more and more crucial as the population demographics, thus strategies for providing high-quality healthcare that is also accessible and reasonably priced are of vital importance.

The purpose of this Special Issue is to report on healthcare applications that gain from integrating AI technologies in a domestic setting, using sensors to get a more comprehensive picture of patients or citizens before they become patients and providing better healthcare services.

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