Artificial Intelligence in Medicine: Today and Tomorrow

Briganti, Giovanni; Moine, Olivier Le

doi:10.3389/fmed.2020.00027

Cited by 386 publications

(322 citation statements)

References 54 publications

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“…AI-powered technologies are thriving, and they are currently changing medical practice. AI has surpassed humans in several medical areas, such as disease diagnosis based on medical or pathological images and disease activity monitoring for atrial fibrillation and epilepsy relapse (24)(25)(26)(27)(28)(29). Pioneering work of AI applications in anesthesiology has been carried out in several aspects, including anesthesia depth monitoring, control of anesthesia, risk prediction, and logistics management (30).…”

Section: Ai-pca: a Promising Future Analgesia Directionmentioning

confidence: 99%

From Patient-Controlled Analgesia to Artificial Intelligence-Assisted Patient-Controlled Analgesia: Practices and Perspectives

Wang

Duan

et al. 2020

Front. Med.

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Pain relief is a major concern for patients who have undergone surgery, and it is an eternal pursuit for anesthesiologists. However, postoperative pain management is far from satisfactory, though the past decades have witnessed great progress in the development of novel analgesics and analgesic techniques. A Cochrane systematic review showed that patient-controlled analgesia (PCA) achieved better pain relief and greater patient satisfaction than traditional "on-demand" parenteral analgesia, suggesting that it might be the manner of analgesia implementation that matters for effective postoperative pain management. A wireless intelligent PCA (Wi-PCA) system that incorporated remote monitoring, an intelligent alarm, intelligent analysis and assessment of the PCA equipment, as well as automatically recording and reserving key information functions under a wireless environment was introduced in our department in 2018. The practice showed that the Wi-PCA system significantly reduced the incidence of moderate to severe postoperative pain and relevant adverse effects, shortened hospital stays, and improved patient satisfaction with postoperative pain relief. Nevertheless, for both traditional and Wi-PCA, analgesics are only administered when pain occurs, leaving behind a realm of possibilities for better postoperative pain management. With the rapid development of machinery and deep learning algorithms, artificial intelligence (AI) is changing the mode of clinical decision making. Integrating the big data collected by state-of-the-art monitoring sensors, the Internet of Things and AI algorithms, an AI-assisted PCA (Ai-PCA) may be a promising future direction for postoperative pain management.

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Section: Ai-pca: a Promising Future Analgesia Directionmentioning

confidence: 99%

From Patient-Controlled Analgesia to Artificial Intelligence-Assisted Patient-Controlled Analgesia: Practices and Perspectives

Wang

Duan

et al. 2020

Front. Med.

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“…Administratively, AI is being used in voice-recognition dictation into the EMR. 5 By reducing time spent interacting with the record, physicians are able to spend more time with the patient.…”

Section: W H At I S "A I " a N D H Ow I S I T B E I N G U S E D I N Hmentioning

confidence: 99%

“…Smartwatch use has proliferated and there are many health care-related applications that can track real-time patient data and predict impending emergency medical conditions. 9 Further, some integrated voice-activated home computing devices allow for remote monitoring of home-bound elderly patients for depression, falls, and other emergencies. The value of these devices is that they could provide very current information about patients to a health care provider outside a formal consultation setting that can be used in formulating treatment options.…”

Section: H E a Lt H C A R E R I S K I S S U E S As S O C I At E D W Imentioning

confidence: 99%

Artificial intelligence in medicine creates real risk management and litigation issues

Keris¹

2020

J of Healthc Risk Manag

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“…In the realm of neurology, the FDA approved, in 2018, a wearable device that can detect generalised epileptic seizures (8). The device connects to a mobile application that can alert relatives or physicians when seizures occur and can provide clinical information and patient localisation (9). In these examples, AI predictions can alert physicians and prompt early interventions to decrease the morbidity associated with atrial fibrillation, respiratory compromise, kidney disease, and seizures.…”

Section: Clinical Medicinementioning

confidence: 99%

Demystifying Artificial Intelligence in Medicine

Cafaggi¹

2020

UOJM

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The Artificial Intelligence (AI) revolution is disrupting a variety of industries – from manufacturing to agriculture, intellectual property, or retail. Healthcare, a complex industry with countless areas for improvement, will be no different. The effect of AI in medicine and delivery of care is already a source of both excitement and concern. The excitement brings about hope for better treatments and improved delivery thereof; but it also brings uncertainty as to what the future of a physician will be in an AI-reliant world, and the ethical and legal implications this technology will bring about.

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Artificial Intelligence in Medicine: Today and Tomorrow

Cited by 386 publications

References 54 publications

From Patient-Controlled Analgesia to Artificial Intelligence-Assisted Patient-Controlled Analgesia: Practices and Perspectives

From Patient-Controlled Analgesia to Artificial Intelligence-Assisted Patient-Controlled Analgesia: Practices and Perspectives

Artificial intelligence in medicine creates real risk management and litigation issues

Demystifying Artificial Intelligence in Medicine

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