The practical implementation of artificial intelligence technologies in medicine
The development of artificial intelligence (AI)-based technologies in medicine is advancing
rapidly, but real-world clinical implementation has not yet become a reality. Here we review …
rapidly, but real-world clinical implementation has not yet become a reality. Here we review …
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
Introduction to artificial intelligence in medicine
Y Mintz, R Brodie - Minimally Invasive Therapy & Allied …, 2019 - Taylor & Francis
Abstract The term Artificial Intelligence (AI) was coined by John McCarthy in 1956 during a
conference held on this subject. However, the possibility of machines being able to simulate …
conference held on this subject. However, the possibility of machines being able to simulate …
Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review
Data science is likely to lead to major changes in cardiovascular imaging. Problems with
timing, efficiency, and missed diagnoses occur at all stages of the imaging chain. The …
timing, efficiency, and missed diagnoses occur at all stages of the imaging chain. The …
State-of-the-art deep learning in cardiovascular image analysis
Cardiovascular imaging is going to change substantially in the next decade, fueled by the
deep learning revolution. For medical professionals, it is important to keep track of these …
deep learning revolution. For medical professionals, it is important to keep track of these …
Machine learning in cardiovascular medicine: are we there yet?
Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from
data, allowing computers to find hidden insights without being explicitly programmed where …
data, allowing computers to find hidden insights without being explicitly programmed where …
Biomarkers as biomedical bioindicators: approaches and techniques for the detection, analysis, and validation of novel Biomarkers of diseases
A Ahmad, M Imran, H Ahsan - Pharmaceutics, 2023 - mdpi.com
A biomarker is any measurable biological moiety that can be assessed and measured as a
potential index of either normal or abnormal pathophysiology or pharmacological responses …
potential index of either normal or abnormal pathophysiology or pharmacological responses …
Artificial intelligence in cardiology: present and future
Artificial intelligence (AI) is a nontechnical, popular term that refers to machine learning of
various types but most often to deep neural networks. Cardiology is at the forefront of AI in …
various types but most often to deep neural networks. Cardiology is at the forefront of AI in …
Machine learning in drug design: Use of artificial intelligence to explore the chemical structure–biological activity relationship
The paper presents a comprehensive overview of the use of artificial intelligence (AI)
systems in drug design. Neural networks, which are one of the systems employed in AI, are …
systems in drug design. Neural networks, which are one of the systems employed in AI, are …
Deep learning in cardiology
P Bizopoulos, D Koutsouris - IEEE reviews in biomedical …, 2018 - ieeexplore.ieee.org
The medical field is creating large amount of data that physicians are unable to decipher
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …