Artificial intelligence and machine learning for clinical pharmacology
DK Ryan, RH Maclean, A Balston… - British Journal of …, 2024 - Wiley Online Library
Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug
discovery and development, clinical trials, personalized medicine, pharmacogenomics …
discovery and development, clinical trials, personalized medicine, pharmacogenomics …
AI-based computer vision techniques and expert systems
Y Matsuzaka, R Yashiro - AI, 2023 - mdpi.com
Computer vision is a branch of computer science that studies how computers can 'see'. It is a
field that provides significant value for advancements in academia and artificial intelligence …
field that provides significant value for advancements in academia and artificial intelligence …
A survey on the interpretability of deep learning in medical diagnosis
Q Teng, Z Liu, Y Song, K Han, Y Lu - Multimedia Systems, 2022 - Springer
Deep learning has demonstrated remarkable performance in the medical domain, with
accuracy that rivals or even exceeds that of human experts. However, it has a significant …
accuracy that rivals or even exceeds that of human experts. However, it has a significant …
Explainable AI applications in the Medical Domain: a systematic review
Artificial Intelligence in Medicine has made significant progress with emerging applications
in medical imaging, patient care, and other areas. While these applications have proven …
in medical imaging, patient care, and other areas. While these applications have proven …
Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the …
Background Biguanides and sulfonylurea are two classes of anti-diabetic medications that
have commonly been prescribed all around the world. Diagnosis of biguanide and …
have commonly been prescribed all around the world. Diagnosis of biguanide and …
Artificial intelligence applications in clinical chemistry
DR Bunch, TJS Durant… - Clinics in Laboratory …, 2023 - labmed.theclinics.com
Investigation of artificial intelligence (AI) applications in health care has accelerated rapidly
in recent years. Accordingly, there are also rapid advancements in this area applied to the …
in recent years. Accordingly, there are also rapid advancements in this area applied to the …
Classification of acute poisoning exposures with machine learning models derived from the National Poison Data System
O Mehrpour, C Hoyte, H Delva‐Clark… - Basic & Clinical …, 2022 - Wiley Online Library
The primary aim of this pilot study was to develop a machine learning algorithm to predict
and distinguish eight poisoning agents based on clinical symptoms. Data were used from …
and distinguish eight poisoning agents based on clinical symptoms. Data were used from …
Deep learning neural network derivation and testing to distinguish acute poisonings
O Mehrpour, C Hoyte, A Al Masud… - Expert Opinion on …, 2023 - Taylor & Francis
Introduction Acute poisoning is a significant global health burden, and the causative agent is
often unclear. The primary aim of this pilot study was to develop a deep learning algorithm …
often unclear. The primary aim of this pilot study was to develop a deep learning algorithm …
Utility of artificial intelligence to identify antihyperglycemic agents poisoning in the USA: introducing a practical web application using National Poison Data System …
Clinical effects of antihyperglycemic agents poisoning may overlap each other. So,
distinguishing exposure to these pharmaceutical drugs may take work. This study examined …
distinguishing exposure to these pharmaceutical drugs may take work. This study examined …
[HTML][HTML] Exploring explainable AI features in the vocal biomarkers of lung disease
Z Chen, N Liang, H Li, H Zhang, H Li, L Yan… - Computers in Biology …, 2024 - Elsevier
This review delves into the burgeoning field of explainable artificial intelligence (XAI) in the
detection and analysis of lung diseases through vocal biomarkers. Lung diseases, often …
detection and analysis of lung diseases through vocal biomarkers. Lung diseases, often …