AIMC Topic: Humans

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Potential Use Cases for ChatGPT in Radiology Reporting.

AJR. American journal of roentgenology
Large language models (LLMs) such as ChatGPT are advanced artificial intelligence models that are designed to process and understand human language. LLMs have the potential to improve radiology reporting and patient engagement by automating generatio...

Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional Imaging.

AJR. American journal of roentgenology
Reported rates of recommendations for additional imaging (RAIs) in radiology reports are low. Bidirectional encoder representations from transformers (BERT), a deep learning model pretrained to understand language context and ambiguity, has potentia...

Propensity score-matched analysis of the short-term outcomes of robotic versus laparoscopic surgery for rectal cancer.

Asian journal of endoscopic surgery
PURPOSE: The advantages of robot-assisted rectal surgery (RARS) over conventional laparoscope-assisted rectal surgery (LARS) remain controversial. This study was performed to compare the short-term outcomes of RARS and LARS.

Potential Use of Artificial Intelligence in Infectious Disease: Take ChatGPT as an Example.

Annals of biomedical engineering
Over the past month, a new AI model called Chatbot Generative Pre-trained Transformer (ChatGPT), has received enormous attention in the media and scientific communities due to its ability to process and respond to commands in a humanistic fashion. As...

The Use of Machine Learning for Inferencing the Effectiveness of a Rehabilitation Program for Orthopedic and Neurological Patients.

International journal of environmental research and public health
Advance assessment of the potential functional improvement of patients undergoing a rehabilitation program is crucial in developing precision medicine tools and patient-oriented rehabilitation programs, as well as in better allocating resources in ho...

[Laboratory testing for anemia in primary care: reflex testing, reflecting and algorithms?].

Nederlands tijdschrift voor geneeskunde
This commentary discusses the prevalence and causes of anemia in primary care in the Netherlands and the role of laboratory diagnostics in determining the cause of anemia. There are indications that guidelines in primary care regarding anemia are ins...

High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury.

Scientific reports
Recovery from acute kidney injury can vary widely in patients and in animal models. Immunofluorescence staining can provide spatial information about heterogeneous injury responses, but often only a fraction of stained tissue is analyzed. Deep learni...

The effect of variable labels on deep learning models trained to predict breast density.

Biomedical physics & engineering express
. High breast density is associated with reduced efficacy of mammographic screening and increased risk of developing breast cancer. Accurate and reliable automated density estimates can be used for direct risk prediction and passing density related i...