Application of artificial intelligence in medicine: an overview
Artificial intelligence (AI) is a new technical discipline that uses computer technology to
research and develop the theory, method, technique, and application system for the …
research and develop the theory, method, technique, and application system for the …
[HTML][HTML] Artificial intelligence for COVID-19: rapid review
J Chen, KC See - Journal of medical Internet research, 2020 - jmir.org
Background COVID-19 was first discovered in December 2019 and has since evolved into a
pandemic. Objective To address this global health crisis, artificial intelligence (AI) has been …
pandemic. Objective To address this global health crisis, artificial intelligence (AI) has been …
[HTML][HTML] Artificial intelligence in pharmaceutical sciences
Drug discovery and development affects various aspects of human health and dramatically
impacts the pharmaceutical market. However, investments in a new drug often go …
impacts the pharmaceutical market. However, investments in a new drug often go …
Artificial intelligence in biological sciences
Artificial intelligence (AI), currently a cutting-edge concept, has the potential to improve the
quality of life of human beings. The fields of AI and biological research are becoming more …
quality of life of human beings. The fields of AI and biological research are becoming more …
[HTML][HTML] Unraveling the ethical enigma: artificial intelligence in healthcare
M Jeyaraman, S Balaji, N Jeyaraman, S Yadav - Cureus, 2023 - ncbi.nlm.nih.gov
The integration of artificial intelligence (AI) into healthcare promises groundbreaking
advancements in patient care, revolutionizing clinical diagnosis, predictive medicine, and …
advancements in patient care, revolutionizing clinical diagnosis, predictive medicine, and …
Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Syria: a cross-sectional online survey
S Swed, H Alibrahim, NKH Elkalagi… - Frontiers in artificial …, 2022 - frontiersin.org
Artificial intelligence has been prevalent recently as its use in the medical field is noticed to
be increased. However, middle east countries like Syria are deficient in multiple AI …
be increased. However, middle east countries like Syria are deficient in multiple AI …
GPT-4 artificial intelligence model outperforms ChatGPT, medical students, and neurosurgery residents on neurosurgery written board-like questions
GA Guerra, H Hofmann, S Sobhani, G Hofmann… - World neurosurgery, 2023 - Elsevier
Background Artificial intelligence (AI) and machine learning have transformed health care
with applications in various specialized fields. Neurosurgery can benefit from artificial …
with applications in various specialized fields. Neurosurgery can benefit from artificial …
Artificial intelligence-based radiomics in bone tumors: Technical advances and clinical application
Y Meng, Y Yang, M Hu, Z Zhang, X Zhou - Seminars in Cancer Biology, 2023 - Elsevier
Radiomics is the extraction of predefined mathematic features from medical images for
predicting variables of clinical interest. Recent research has demonstrated that radiomics …
predicting variables of clinical interest. Recent research has demonstrated that radiomics …
The impact of artificial intelligence on clinical education: perceptions of postgraduate trainee doctors in London (UK) and recommendations for trainers
M Banerjee, D Chiew, KT Patel, I Johns… - BMC medical …, 2021 - Springer
Background Artificial intelligence (AI) technologies are increasingly used in clinical practice.
Although there is robust evidence that AI innovations can improve patient care, reduce …
Although there is robust evidence that AI innovations can improve patient care, reduce …
Artificial intelligence, healthcare, clinical genomics, and pharmacogenomics approaches in precision medicine
Precision medicine has greatly aided in improving health outcomes using earlier diagnosis
and better prognosis for chronic diseases. It makes use of clinical data associated with the …
and better prognosis for chronic diseases. It makes use of clinical data associated with the …