# A Review of Converging Technologies in eHealth Pertaining to Artificial Intelligence
## 3 Challenges of eHealth and AI Applications in Healthcare
### Adoption  
To increase the adoption rate of AI in healthcare, we need to examine how AI is perceived and what requirements need to be met, as in [53]. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Authors** & **Work Description** & **Results** & **Technologies Employed** \\ \hline
[46] & A telemedicine system used to offer emergency assistance through a wearable helmet & The REC-VISIO 118 is used daily in the 118 Emergency Service of Pistoia on COVID-19 suspects; video data are transmitted via the 4G network. & Artificial intelligence/machine learning, WebRTC, webcam video recording and transmission, image stabilization, IoT (system based on Raspberry Pi 3), 4G communication \\ \hline
[47] & A review discussing cardiovascular problems offering telemedicine solutions & Various solutions are discussed, presenting advantages, challenges and solutions for digital health tools. & Artificial intelligence/machine learning, various wearables \\ \hline
[48] & Review regarding cardio-oncology patient care during COVID-19 & Presents possible ways of using big data, social media and AI to provide care for cancer survivors, because cardiovascular diseases are the second cause of death among this group. & Artificial intelligence/machine learning, social media, big data \\ \hline
[49] & Review about rheumatology challenges in telemedicine solutions & Advantages and shortcomings of telemedicine in rheumatology, some studies even showing that telemedicine did not reduce the face-to-face monitoring & Artificial intelligence/machine learning, mobile applications, wearables, remote patient monitoring \\ \hline
[50] & Telemedicine health analysis system based on IoT & The researchers propose a cloud IoT architecture to improve the connection between health IoT and people, providing detailed analysis of different layers; challenges associated with big data management and processing. & Artificial intelligence, IoT, quality of service framework, quality of experience, cloud \\ \hline
[51] & Research the effect of telemedicine on gestational diabetic patients & A reminder system and telephone access were used to improve healthcare efficiency, while having little to no impact on the blood glucose levels; difficulties with computer access and low-income families; dataset of 80 patients equally split in intervention and randomizing dot control groups. & Short message service (SMS), interactive voice response (IVR) \\ \hline
[52] & On-demand orchestration of services for health emergency predictions & The CURATE system supports scaling to better respond to rising simultaneous prediction requests received from the edge; work presents benefits of continuous IoT health monitoring via 5G service orchestration two-tiered platform (edge-cloud); system used time series data from two ECG channels; training phase consists of 10 epochs of 200 steps; & Network Functions Virtualization Management and Orchestration (NFV MANO), 5G Public-Private Partnership Infrastructure Association, Cloud/Edge, Tensorflow/Keras (Python) \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Cont. AI adoption in the public healthcare system can be facilitated by applications such as [54], where family health education is introduced to artificial intelligence, proposing an AI-based family health education public service. AI plays an important role in analyzing large amounts of data in precision medicine, but in public health, with much smaller amounts of information per patient, its use is not as justifiable. As the trends tend to merge precision medicine and public health into precision public health [55], AI adoption is one of the best solutions to analyzing big data. With [56], we are presented with a multiphase plan to speed up the adoption of artificial intelligence in healthcare by:  
1. Identifying the difficulties in utilizing the power of AI in care delivery;
2. Creating education plans for multiple interventions;
3. Determining curriculum issues;
4.