AIMC Topic: Artificial Intelligence

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Impact of hybrid supervision approaches on the performance of artificial intelligence for the classification of chest radiographs.

Computers in biology and medicine
PURPOSE: To evaluate the impact of different supervision regimens on the training of artificial intelligence (AI) in the classification of chest radiographs as normal or abnormal in a moderately sized cohort of individuals more likely to be outpatien...

Modeling the Research Landscapes of Artificial Intelligence Applications in Diabetes (GAP).

International journal of environmental research and public health
The rising prevalence and global burden of diabetes fortify the need for more comprehensive and effective management to prevent, monitor, and treat diabetes and its complications. Applying artificial intelligence in complimenting the diagnosis, manag...

A convolutional neural network-based system to classify patients using FDG PET/CT examinations.

BMC cancer
BACKGROUND: As the number of PET/CT scanners increases and FDG PET/CT becomes a common imaging modality for oncology, the demands for automated detection systems on artificial intelligence (AI) to prevent human oversight and misdiagnosis are rapidly ...

Star Trek, medicine, ethics, nanotechnology and nursing.

Early human development
The first collection of Star Trek (ST) papers in this journal concentrated on the various doctors that appeared in ST in chronological screening order. This second collection will demonstrate that depictions of certain characters in ST harkens back t...

Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population Data.

Scientific reports
Cell Population Data (CPD) provides various blood cell parameters that can be used for differential diagnosis. Data analytics using Machine Learning (ML) have been playing a pivotal role in revolutionizing medical diagnostics. This research presents ...

Attitudes of Patients and Their Relatives Toward Artificial Intelligence in Neurosurgery.

World neurosurgery
BACKGROUND: Artificial intelligence (AI) may favorably support surgeons but can result in concern among patients and their relatives. The aim of this study was to evaluate attitudes of patients and their relatives regarding use of AI in neurosurgery.

Human respiration monitoring using infrared thermography and artificial intelligence.

Biomedical physics & engineering express
The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor the RR are contact in nature and face many drawbacks. This paper reports the use of Infrared Thermog...

Diabetic retinopathy and ultrawide field imaging.

Seminars in ophthalmology
The introduction of ultrawide field imaging has allowed the visualization of approximately 82% of the total retinal area compared to only 30% using 7-standard field Early Treatment Diabetic Retinopathy (ETDRS) photography. This substantially wider fi...