Titlebook: Integrating Artificial Intelligence and IoT for Advanced Health Informatics; AI in the Healthcare Carmela Comito,Agostino Forestiero,Ester

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ARC

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aspect

Convergence Between IoT and AI for Smart Health and Predictive Medicine,sis and monitoring, clinical workflow augmentation, and hospital optimization. The synergy between the IoT and AI is promising to monitor state of health of patients and to move upon traditional healthcare structures. Accompanied by communication technologies, cloud computing, and big data, it led t

Anemia

Methods in Digital Mental Health: Smartphone-Based Assessment and Intervention for Stress, Anxiety,cape of digital mental health can be roughly divided into two complementary processes: assessment and intervention. Assessment concerns monitoring, learning about, and recognizing a person’s mental health issues through their physiology, behavior, thinking, emotional and cognitive states, and the co

Negligible

AI for the Detection of the Diabetic Retinopathy,ramount importance. While the primary method for evaluating diabetic retinopathy involves direct and indirect ophthalmoscopy, artificial intelligence (AI) has been on the rise in the eye care sector. AI uses sophisticated algorithms to analyze a vast amount of clinical data in order to provide effec

潰爛

Enhancing EEG-Based Emotion Recognition with Fast Online Instance Transfer,ons on the test trials. During the training, since FOIT is a one-shot algorithm, it avoids time-consuming iterations that satisfy the demand for fast response of BCIs. Experimental results show that FOIT (?35 s) significantly decreases the time cost than iterative methods (?45–900 s). Meanwhile, FOI

改變

Urologist

Weisong Yang,Rafael Poyiadzi,Yoav Ben-Shlomo,Ian Craddock,Liz Coulthard,Raul Santos-Rodriguez,James