AI Medical Compendium Topic:
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FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT.

Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery
The field of medicine has always been at the forefront of technological innovation, constantly seeking new strategies to diagnose, treat, and prevent diseases. Guidelines for clinical practice to orientate medical teams regarding diagnosis, treatment...

Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training Samples.

IEEE transactions on neural networks and learning systems
Predictive modeling is useful but very challenging in biological image analysis due to the high cost of obtaining and labeling training data. For example, in the study of gene interaction and regulation in Drosophila embryogenesis, the analysis is mo...

ResMiCo: Increasing the quality of metagenome-assembled genomes with deep learning.

PLoS computational biology
The number of published metagenome assemblies is rapidly growing due to advances in sequencing technologies. However, sequencing errors, variable coverage, repetitive genomic regions, and other factors can produce misassemblies, which are challenging...

Can ChatGPT Accurately Answer a PICOT Question? Assessing AI Response to a Clinical Question.

Nurse educator
BACKGROUND: ChatGPT, an artificial intelligence (AI) text generator trained to predict correct words, can provide answers to questions but has shown mixed results in answering medical questions.

The use of artificial intelligence and game-based learning in removable partial denture design: A comparative study.

Journal of dental education
PURPOSE: The purpose of this study was to compare student performance in removable partial denture (RPD) design during a pre-clinical RPD course with and without using a recently developed computer software named AiDental. Additionally, student perce...

An accessible infrastructure for artificial intelligence using a Docker-based JupyterLab in Galaxy.

GigaScience
BACKGROUND: Artificial intelligence (AI) programs that train on large datasets require powerful compute infrastructure consisting of several CPU cores and GPUs. JupyterLab provides an excellent framework for developing AI programs, but it needs to be...

Long short-term memory with activation on gradient.

Neural networks : the official journal of the International Neural Network Society
As the number of long short-term memory (LSTM) layers increases, vanishing/exploding gradient problems exacerbate and have a negative impact on the performance of the LSTM. In addition, the ill-conditioned problem occurs in the training process of LS...

Artificial Intelligence-Based Ethical Hacking for Health Information Systems: Simulation Study.

Journal of medical Internet research
BACKGROUND: Health information systems (HISs) are continuously targeted by hackers, who aim to bring down critical health infrastructure. This study was motivated by recent attacks on health care organizations that have resulted in the compromise of ...

Measuring cryo-TEM sample thickness using reflected light microscopy and machine learning.

Journal of structural biology
In cryo-transmission electron microscopy (cryo-TEM), sample thickness is one of the most important parameters that governs image quality. When combining cryo-TEM with other imaging methods, such as light microscopy, measuring and controlling the samp...