AIMC Topic: Humans

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Can an artificial intelligence chatbot be the author of a scholarly article?

Journal of educational evaluation for health professions
At the end of 2022, the appearance of ChatGPT, an artificial intelligence (AI) chatbot with amazing writing ability, caused a great sensation in academia. The chatbot turned out to be very capable, but also capable of deception, and the news broke th...

A real-time interpretable artificial intelligence model for the cholangioscopic diagnosis of malignant biliary stricture (with videos).

Gastrointestinal endoscopy
BACKGROUND AND AIMS: It is crucial to accurately determine malignant biliary strictures (MBSs) for early curative treatment. This study aimed to develop a real-time interpretable artificial intelligence (AI) system to predict MBSs under digital singl...

The Current State of Susceptibility-Weighted Imaging and Quantitative Susceptibility Mapping in Head Trauma.

Neuroimaging clinics of North America
Susceptibility-weighted imaging (SWI) is a MR imaging technique suited to detect structural and microstructural abnormalities in traumatic brain injury (TBI). This review article provide an insight in to the physics principles of SWI and its clinical...

Mastering the Learning Curve for Robotic-Assisted Coronary Artery Bypass Surgery.

The Annals of thoracic surgery
BACKGROUND: Previous studies have evaluated the learning curve to achieve competency in robotic-assisted coronary artery bypass grafting (CABG) but have not identified thresholds for mastery. Robotic-assisted CABG is a minimally invasive alternative ...

Artificial neural network modelling of the neural population code underlying mathematical operations.

NeuroImage
Mathematical operations have long been regarded as a sparse, symbolic process in neuroimaging studies. In contrast, advances in artificial neural networks (ANN) have enabled extracting distributed representations of mathematical operations. Recent ne...

A deep learning workflow for quantification of micronuclei in DNA damage studies in cultured cancer cell lines: A proof of principle investigation.

Computer methods and programs in biomedicine
The cytokinesis block micronucleus assay is widely used for measuring/scoring/counting micronuclei, a marker of genome instability in cultured and primary cells. Though a gold standard method, this is a laborious and time-consuming process with perso...

Deep learning in digital pathology for personalized treatment plans of cancer patients.

Seminars in diagnostic pathology
Over the past decade, many new cancer treatments have been developed and made available to patients. However, in most cases, these treatments only benefit a specific subgroup of patients, making the selection of treatment for a specific patient an es...

Artificial intelligence and body composition.

Diabetes & metabolic syndrome
AIMS: Although obesity is associated with chronic disease, a large section of the population with high BMI does not have an increased risk of metabolic disease. Increased visceral adiposity and sarcopenia are also risk factors for metabolic disease i...

Improving BLE-Based Passive Human Sensing with Deep Learning.

Sensors (Basel, Switzerland)
Passive Human Sensing (PHS) is an approach to collecting data on human presence, motion or activities that does not require the sensed human to carry devices or participate actively in the sensing process. In the literature, PHS is generally performe...

Challenges for enforcing editorial policies on AI-generated papers.

Accountability in research
ChatGPT, a chatbot released by OpenAI in November 2022, has rocked academia with its capacity to generate papers "good enough" for academic journals. Major journals such as and professional societies such as the World Association of Medical Editors ...