The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment.
Alessia SalinariMichele MachìYasmany Armas DiazDanila CianciosiZexiu QiBei YangMaria Soledad Ferreiro CotorrueloSantos Gracia VillarLuis Alonso Dzul LópezMaurizio Antonio BattinoFrancesca GiampieriPublished in: Diseases (Basel, Switzerland) (2023)
In the last decade, artificial intelligence (AI) and AI-mediated technologies have undergone rapid evolution in healthcare and medicine, from apps to computer software able to analyze medical images, robotic surgery and advanced data storage system. The main aim of the present commentary is to briefly describe the evolution of AI and its applications in healthcare, particularly in nutrition and clinical biochemistry. Indeed, AI is revealing itself to be an important tool in clinical nutrition by using telematic means to self-monitor various health metrics, including blood glucose levels, body weight, heart rate, fat percentage, blood pressure, activity tracking and calorie intake trackers. In particular, the application of the most common digital technologies used in the field of nutrition as well as the employment of AI in the management of diabetes and obesity, two of the most common nutrition-related pathologies worldwide, will be presented.
Keyphrases
- artificial intelligence
- healthcare
- deep learning
- big data
- heart rate
- machine learning
- blood pressure
- physical activity
- blood glucose
- body weight
- type diabetes
- glycemic control
- weight loss
- convolutional neural network
- cardiovascular disease
- public health
- metabolic syndrome
- adipose tissue
- mental health
- health information
- insulin resistance
- risk assessment
- weight gain
- electronic health record
- optical coherence tomography
- social media