Читать книгу Smart Systems for Industrial Applications - Группа авторов - Страница 21

AI aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by the increasing availability of healthcare data and the rapid progress of analytics techniques [12–14]. Recently, AI techniques are applied in mHealth services and systems. There are various health-oriented smartphone applications available. There are around 160,000 of them, which are downloaded about 660 million times [15]. Moreover, blood pressure and heart rhythm are a few smartphone-connected devices that enable remote assessment of health conditions [15]. Identifying atrial fibrillation is one of the hottest topics in the field. The detection of atrial fibrillation was carried by comparing smartwatch data with around normal ECG data of 9,750 patients [16]. A deep learning algorithm combined with smartwatch applications exhibited excellent forecasting of atrial fibrillation with a specificity of 90.2% and a sensitivity of 98%.

Table 1.2 Applications of AI in healthcare.

Source	Subject matter	Parameter analyzed/considered	Related performance measures
[9]	AI in Healthcare	Brain Computer Interfaces (BCI)Next generation radiology toolsExpansion of AI-healthcare networkElectronic Health Record (EHR)Antibiotic ResistancePathology analysisIntelligent medical machinesImmunotherapyRisk predictorHealth monitoring systemDiagnostic toolsClinical decision-making	BCI improves quality of life for patients with ALS, strokes and 5 lakhs people with spinal card injuries with every yearVirtual biopsies characterize the phenotypes and genetic properties of tumorsVoice recognition and dictation help in Clinical documentation.75% EHR use as a tool for right diagnosisAI-based Risk scoring and stratification toolsDL identifies novel connections between seemingly unrelated data sets
[10]	Natural language processing	Virtual AssistantMelaFindRobotics Assisted Therapy	Helps the patients with Alzheimer’s diseaseDiagnose tool to analyze irregular moles melanoma skin cancerAssists the patients during stroke recovery
[11]	Biological intelligence	Medical data miningANN-based predictionAI-Clinical decision-making	Diagnoses orthopedic trauma from radiographs10% more accurate than conventional decision