Using artificial intelligence techniques to diagnose diseases and design new drugsAl Asem, Shatha AliMulti-Knowledge Electronic Comprehensive Journal For Education & Science Publications (MECSJ)
Huang J, Wang J, Ramsey E, Leavey G, Chico AT, Condell J (2022) Applying artificial intelligence to wearable sensor data to diagnose and predict cardiovascular disease: a review. Sensors 22(20):1–28. https://doi.org/10.3390/s22208002 Jackins V et al (2021) AI-based smart prediction ...
Our model demonstrates high diagnostic accuracy across multiple organ systems and is comparable to experienced pediatricians in diagnosing common childhood diseases. Our study provides a proof of concept for implementing an AI-based system as a means to aid physicians in tackling large amounts of data...
It can be seen that there are many review articles on AI technology and COVID-19, most of which are unilateral technical reviews or a summary of multiple methods. In addition, in our survey, artificial intelligence technology is still mainly used to solve diseases directly related to COVID-19...
(AI) could enable detection of rare diseases. Here we present a pipeline for CA detection using AI models with electrocardiograms (ECG) or echocardiograms as inputs. These models, trained and validated on 3 and 5 academic medical centers (AMC) respectively, detect CA with C-statistics of ...
Building on this foundation, our goal is to extend the applicability of our model beyond a single dataset to increase its reliability by introducing a strategy that uses the concept of transfer leaning to train the AI model on one extensive dataset and then test the same model on another exter...
Deep learning, which is a popular research area of artificial intelligence (AI), enables the creation of end-to-end models to achieve promised results using input data, without the need for manual feature extraction [26,27]. Deep learning techniques have been successfully applied in many ...
Then, an analytical method is used to process the information collected in the interview in order to diagnose the cause of death. WHO has recently proposed a standardized instrument, [11] variants of which have been used in a number of demographic surveillance sites [12] and in the Population...
In clinical practice, there is a growing investment in developing big data applications for medical care, such as those based on artificial intelligence (AI), to diagnose diseases based on clinical images9. Although artificial intelligence can save costs and improve efficiency, especially for the ...
Artificial intelligence is quickly transforming the health care landscape from helping to diagnose diseases to assisting in surgery. Its rapid progression has the potential to transform how health care teams work by streamlining processes and improving patient outcomes. As AI is used more in health car...