Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review

AM Antoniadi, Y Du, Y Guendouz, L Wei, C Mazo… - Applied Sciences, 2021 - mdpi.com
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and
future potential for transforming almost all aspects of medicine. However, in many …

Determinants of implementing artificial intelligence-based clinical decision support tools in healthcare: a scoping review protocol

B Bajgain, D Lorenzetti, J Lee, K Sauro - BMJ open, 2023 - bmjopen.bmj.com
Introduction Artificial intelligence (AI), the simulation of human intelligence processes by
machines, is being increasingly leveraged to facilitate clinical decision-making. AI-based …

Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms

M Botlagunta, MD Botlagunta, MB Myneni… - Scientific Reports, 2023 - nature.com
Abstract Metastatic Breast Cancer (MBC) is one of the primary causes of cancer-related
deaths in women. Despite several limitations, histopathological information about the …

Transparency of artificial intelligence in healthcare: insights from professionals in computing and healthcare worldwide

J Bernal, C Mazo - Applied Sciences, 2022 - mdpi.com
Although it is widely assumed that Artificial Intelligence (AI) will revolutionise healthcare in
the near future, considerable progress must yet be made in order to gain the trust of …

Smart educational tools and learning management systems: supportive framework

HMN Iqbal, R Parra-Saldivar, R Zavala-Yoe… - International journal on …, 2020 - Springer
Owing to the fast pace of growing educational needs, the deployment of smart educational
tools along with highly productive and effective learning management systems are of …

A clinical decision support system for predicting invasive breast cancer recurrence: Preliminary results

R Massafra, A Latorre, A Fanizzi, R Bellotti… - Frontiers in …, 2021 - frontiersin.org
The mortality associated to breast cancer is in many cases related to metastasization and
recurrence. Personalized treatment strategies are critical for the outcomes improvement of …

Predicting of sentinel lymph node status in breast cancer patients with clinically negative nodes: A validation study

A Fanizzi, D Pomarico, A Paradiso, S Bove, S Diotaiuti… - Cancers, 2021 - mdpi.com
Simple Summary Sentinel lymph node biopsy procedure is time consuming and expensive,
but it is still the intra-operative exam capable of the best performance. However, sometimes …

Future of biomarker evaluation in the realm of artificial intelligence algorithms: application in improved therapeutic stratification of patients with breast and prostate …

J Fitzgerald, D Higgins, CM Vargas, W Watson… - Journal of Clinical …, 2021 - jcp.bmj.com
Clinical workflows in oncology depend on predictive and prognostic biomarkers. However,
the growing number of complex biomarkers contributes to costly and delayed decision …

Application of artificial intelligence techniques to predict risk of recurrence of breast cancer: a systematic review

C Mazo, C Aura, A Rahman, WM Gallagher… - Journal of Personalized …, 2022 - mdpi.com
Breast cancer is the most common disease among women, with over 2.1 million new
diagnoses each year worldwide. About 30% of patients initially presenting with early stage …

[HTML][HTML] Ten topics to get started in medical informatics research

M Wolfien, N Ahmadi, K Fitzer, S Grummt… - Journal of Medical …, 2023 - jmir.org
The vast and heterogeneous data being constantly generated in clinics can provide great
wealth for patients and research alike. The quickly evolving field of medical informatics …