AIMC Topic: Decision Making, Computer-Assisted

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Combination possibility and deep learning model as clinical decision-aided approach for prostate cancer.

Health informatics journal
This study aims to introduce as proof of concept a combination model for classification of prostate cancer using deep learning approaches. We utilized patients with prostate cancer who underwent surgical treatment representing the various conditions ...

The digitization of organic synthesis.

Nature
Organic chemistry has largely been conducted in an ad hoc manner by academic laboratories that are funded by grants directed towards the investigation of specific goals or hypotheses. Although modern synthetic methods can provide access to molecules ...

Intelligent health data analytics: A convergence of artificial intelligence and big data.

Healthcare management forum
Healthcare is a living system that generates a significant volume of heterogeneous data. As healthcare systems are pivoting to value-based systems, intelligent and interactive analysis of health data is gaining significance for health system manageme...

Financial time series forecasting using twin support vector regression.

PloS one
Financial time series forecasting is a crucial measure for improving and making more robust financial decisions throughout the world. Noisy data and non-stationarity information are the two key factors in financial time series prediction. This paper ...

How Should Clinicians Communicate With Patients About the Roles of Artificially Intelligent Team Members?

AMA journal of ethics
This commentary responds to a hypothetical case involving an assistive artificial intelligence (AI) surgical device and focuses on potential harms emerging from interactions between humans and AI systems. Informed consent and responsibility-specifica...

Personalized conciliation of clinical guidelines for comorbid patients through multi-agent planning.

Artificial intelligence in medicine
The conciliation of multiple single-disease guidelines for comorbid patients entails solving potential clinical interactions, discovering synergies in the diagnosis and the recommendations, and managing clinical equipoise situations. Personalized con...

Computer knows best? The need for value-flexibility in medical AI.

Journal of medical ethics
Artificial intelligence (AI) is increasingly being developed for use in medicine, including for diagnosis and in treatment decision making. The use of AI in medical treatment raises many ethical issues that are yet to be explored in depth by bioethic...

Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data.

IEEE transactions on bio-medical engineering
As the collection of mobile health data becomes pervasive, missing data can make large portions of datasets inaccessible for analysis. Missing data has shown particularly problematic for remotely diagnosing and monitoring Parkinson's disease (PD) usi...

Towards a modular decision support system for radiomics: A case study on rectal cancer.

Artificial intelligence in medicine
Following the personalized medicine paradigm, there is a growing interest in medical agents capable of predicting the effect of therapies on patients, by exploiting the amount of data that is now available for each patient. In disciplines like oncolo...