AIMC Topic: Software

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Robotic Process Automation Based Data Extraction from Handwritten Medical Forms.

Studies in health technology and informatics
This paper proposes to create an RPA(robotic process automation) based software robot that can digitalize and extract data from handwritten medical forms. The RPA robot uses a taxonomy that is specific for the medical form and associates the extracte...

DeepCCI: a deep learning framework for identifying cell-cell interactions from single-cell RNA sequencing data.

Bioinformatics (Oxford, England)
MOTIVATION: Cell-cell interactions (CCIs) play critical roles in many biological processes such as cellular differentiation, tissue homeostasis, and immune response. With the rapid development of high throughput single-cell RNA sequencing (scRNA-seq)...

Smart sleep: what to consider when adopting AI-enabled solutions in clinical practice of sleep medicine.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
UNLABELLED: Since the publication of its 2020 position statement on artificial intelligence (AI) in sleep medicine by the American Academy of Sleep Medicine, there has been a tremendous expansion of AI-related software and hardware options for sleep ...

Evaluation of deep learning-based deliverable VMAT plan generated by prototype software for automated planning for prostate cancer patients.

Journal of radiation research
This study aims to evaluate the dosimetric accuracy of a deep learning (DL)-based deliverable volumetric arc radiation therapy (VMAT) plan generated using DL-based automated planning assistant system (AIVOT, prototype version) for patients with prost...

BQsupports: systematic assessment of the support and novelty of new biomedical associations.

Bioinformatics (Oxford, England)
MOTIVATION: Living a Big Data era in Biomedicine, there is an unmet need to systematically assess experimental observations in the context of available information. This assessment would offer a means for a comprehensive and robust validation of biom...

DeepPhe-CR: Natural Language Processing Software Services for Cancer Registrar Case Abstraction.

JCO clinical cancer informatics
PURPOSE: Manual extraction of case details from patient records for cancer surveillance is a resource-intensive task. Natural Language Processing (NLP) techniques have been proposed for automating the identification of key details in clinical notes. ...

Chatbot Artificial Intelligence for Genetic Cancer Risk Assessment and Counseling: A Systematic Review and Meta-Analysis.

JCO clinical cancer informatics
PURPOSE: Most individuals with a hereditary cancer syndrome are unaware of their genetic status to underutilization of hereditary cancer risk assessment. Chatbots, or programs that use artificial intelligence to simulate conversation, have emerged as...

[Artificial Intelligence (AI): keep it under control].

Revue medicale suisse
In recent years, artificial intelligence (AI) has become increasingly important in our healthcare systems and in patient care. Several programs are now able to detect and localize fractures on conventional X-rays. Studies show that coupled with human...

Enhancing complex wound care by leveraging artificial intelligence: an artificial intelligence chatbot software study.

Wounds : a compendium of clinical research and practice
INTRODUCTION: In the realm of complex wound care, where effective diagnosis and treatment are critical, AI holds immense potential. With the advent of AI chatbot software, the field of wound care can potentially benefit from AI-driven advancements.