Using artificial intelligence techniques to diagnose diseases and design new drugsAl Asem, Shatha AliMulti-Knowledge Electronic Comprehensive Journal For Education & Science Publications (MECSJ)
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...
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 (AI) is a field of computer science that aims to mimic human thought processes. AI techniques have been applied in cardiovascular medicine to explore novel genotypes and phenotypes in existing diseases, improve th... Rubens,Moura,Campos,... - 《Revista Da Associacao Medica...
32.Thanks to AI, I’ve got my smart personal built into my phone. 33.Scottish University are now trying to create the world’s first human liver for drug testing so as to dramatically cut the number of live animals used and get life-saving medicines into the clinic faster. ...
Therefore, with a more accurate tool in CT scans, we hypothesized that an AI system can be established to accurately diagnose NCP, and this will assist radiologists and clinicians in the management of patients with symptoms suggestive of COVID-19 NCP. Another urgent need is to identify the ...
It is anticipated that the proposed system will be useful and helpful for the doctors and other care-givers to diagnose a patient having heart disease accurately and effectively at the early stages. Conclusion Heart disease is one of the most devastating and fatal chronic diseases that rapidly ...
Therefore, we investigate the introduction of artificial intelligence (AI) for cerebral edema images using deep learning segmentation (DLS) and clinicians’ description standard analysis15,16. This study hopes to establish a good automatic description of cerebral edema complications software, so that ...
AI has been actively used in healthcare systems to provide clinical decision support [7]. Especially in real world classification problems which medical datasets are used, data sets are called unbalanced data sets, where the number of samples between classes are different from each other. Studies ...
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...