Application of artificial intelligence in pharmaceutical and biomedical studies

A Thakur, AP Mishra, B Panda… - Current …, 2020 - benthamdirect.com
Background: Artificial intelligence (AI) is the way to model human intelligence to accomplish
certain tasks without much intervention of human beings. The term AI was first used in 1956 …

[PDF][PDF] Artificial intelligence in diagnosing tuberculosis: a review

SS Meraj, R Yaakob, A Azman, SNM Rum… - … Journal on Advanced …, 2019 - researchgate.net
Tuberculosis (TB) is among top ten causes of deaths worldwide. It is the single most cause
of deaths by an infectious disease and is ranked 2nd only after the HIV/AIDS. In third world …

DeepHeart: semi-supervised sequence learning for cardiovascular risk prediction

B Ballinger, J Hsieh, A Singh, N Sohoni… - Proceedings of the …, 2018 - ojs.aaai.org
We train and validate a semi-supervised, multi-task LSTM on 57,675 person-weeks of data
from off-the-shelf wearable heart rate sensors, showing high accuracy at detecting multiple …

System, method, and computer program for interfacing an expert system to a clinical information system

WJ Ketcherside Jr, JBF Olson, WF Harty… - US Patent …, 2007 - Google Patents
A method and computer program for interfacing an expert system to a clinical information
system. Embodiments of the invention provide tight integration of the systems permitting a …

[HTML][HTML] An ontology-based personalization of health-care knowledge to support clinical decisions for chronically ill patients

D Riaño, F Real, JA López-Vallverdú… - Journal of biomedical …, 2012 - Elsevier
Chronically ill patients are complex health care cases that require the coordinated
interaction of multiple professionals. A correct intervention of these sort of patients entails the …

Systems and methods for manipulating medical data via a decision support system

SL Pestotnik, JB Olson, MH Samore, RS Evans… - US Patent …, 2007 - Google Patents
Disclosed is a method for delivering decision-supported patient data to a clinician to aid the
clinician with the diagnosis and treatment of a medical condition. The method including …

Systems and methods for communicating between a decision-support system and one or more mobile information devices

JB Olson, MH Skolnick, SL Pestotnik… - US Patent …, 2008 - Google Patents
A decision-support system for providing a clinician with real-time patient data specific to
each patient that the clinician is to examine in a defined time period. The system including a …

[HTML][HTML] Role of enterprise architecture in healthcare organizations and knowledge-based medical diagnosis system

M Sajid, K Ahsan - JISTEM-Journal of Information Systems and …, 2016 - SciELO Brasil
Enterprise architecture (EA) is a tool that aligns organization s business-process with
application and information technology (IT) through EAmodels. This EA model allows the …

[HTML][HTML] Information technologies (ITs) in medical education

I Masic, H Pandza, S Toromanovic, F Masic… - Acta Informatica …, 2011 - ncbi.nlm.nih.gov
Advances in medicine in recent decades are in significant correlation with the advances in
the information technology. Modern information technologies (IT) have enabled faster, more …

Expert systems in medicine

L Zhou, M Sordo - Artificial intelligence in medicine, 2021 - Elsevier
Medical expert systems (ESs) aim to apply computer technology to emulate human decision-
making and provide computerized clinical decision support to clinicians, patients, and other …