AI Medical Compendium Topic

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Clinical workflow of sonographers performing fetal anomaly ultrasound scans: deep-learning-based analysis.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
OBJECTIVE: Despite decades of obstetric scanning, the field of sonographer workflow remains largely unexplored. In the second trimester, sonographers use scan guidelines to guide their acquisition of standard planes and structures; however, the scan-...

Using Artificial Intelligence for Optimization of the Processes and Resource Utilization in Radiotherapy.

JCO global oncology
The radiotherapy (RT) process from planning to treatment delivery is a multistep, complex operation involving numerous levels of human-machine interaction and requiring high precision. These steps are labor-intensive and time-consuming and require me...

Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies.

Database : the journal of biological databases and curation
Similar to managing software packages, managing the ontology life cycle involves multiple complex workflows such as preparing releases, continuous quality control checking and dependency management. To manage these processes, a diverse set of tools i...

User-centred design for machine learning in health care: a case study from care management.

BMJ health & care informatics
OBJECTIVES: Few machine learning (ML) models are successfully deployed in clinical practice. One of the common pitfalls across the field is inappropriate problem formulation: designing ML to fit the data rather than to address a real-world clinical p...

Ethical Aspects of Artificial Intelligence in Radiation Oncology.

Seminars in radiation oncology
Radiation oncology is a field that heavily relies on new technology. Data science and artificial intelligence will have an important role in the entire radiotherapy workflow. A new paradigm of routine healthcare data reuse to automate treatments and ...

Automated workflow for computation of redox potentials, acidity constants, and solvation free energies accelerated by machine learning.

The Journal of chemical physics
Fast evolution of modern society stimulates intense development of new materials with novel functionalities in energy and environmental applications. Due to rapid progress of computer science, computational design of materials with target properties ...

An approachable, flexible and practical machine learning workshop for biologists.

Bioinformatics (Oxford, England)
SUMMARY: The increasing prevalence and importance of machine learning in biological research have created a need for machine learning training resources tailored towards biological researchers. However, existing resources are often inaccessible, infe...

[Digital pathology].

Ugeskrift for laeger
Digitalisation of pathology slides allows pathologists to make diagnoses using a high-resolution computer screen instead of a conventional microscope. In 2020/21, the four pathology departments in the Region of Southern Denmark implemented digital pa...

Towards an Adaptive Clinical Transcription System for In-Situ Transcribing of Patient Encounter Information.

Studies in health technology and informatics
Electronic patient charts are essential for follow-up and multi-disciplinary care, but either take up an exorbitant amount of time during the patient encounter using a key-stroke entry system, or suffer from poor recall when made long after the encou...

The User Experience of AI.

Med (New York, N.Y.)
The promise of artificial intelligence (AI) and machine learning in healthcare can be realized only when they are smoothly integrated into existing clinical workflows. Doing so requires optimizing the user experience of AI and the data on which these...