AIMC Topic: Artificial Intelligence

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Accuracy of AI-based binary classification for detecting malocclusion in the mixed dentition stage.

PloS one
BACKGROUND: Malocclusion is a common anomaly and is frequently observed in children and adults. Early detection and treatment of malocclusion is necessary to prevent and minimize complications. Therefore, developing a tool to check dentition at an ea...

Current state of machine learning implementation in pharmaceutical process modeling for oral solid dosage forms.

International journal of pharmaceutics
Driven by the Food and Drug Administration's Quality-by-Design initiative and the advancements of Industry 4.0, the pharmaceutical industry is transitioning from traditional batch manufacturing to advanced manufacturing. This transition requires resh...

What's not to learn? AI meets parasitology.

Journal of clinical microbiology
Although artificial intelligence-particularly large-language models-receives daily attention, the application of AI to image-recognition challenges in clinical microbiology has been under development for several years. In the accompanying article, B....

Ultrasound as the New Stethoscope: A Journey From Just Locating Fluid to Assessing Haemodynamics and Venous Congestion.

British journal of hospital medicine (London, England : 2005)
Point-of-care ultrasound (POCUS) has evolved from a simple tool for fluid localization to a comprehensive modality for hemodynamic assessment and real-time clinical decision-making. The Bedside Lung Ultrasound in Emergency (BLUE) protocol enables cli...

Classifying human vs. AI text with machine learning and explainable transformer models.

Scientific reports
The rapid proliferation of AI-generated text from models such as ChatGPT-3.5 and ChatGPT-4 has raised critical challenges in verifying content authenticity and ensuring ethical use of language technologies. This study presents a comprehensive framewo...

Critical Appraisal Tools for Evaluating Artificial Intelligence in Clinical Studies: Scoping Review.

Journal of medical Internet research
BACKGROUND: Health research that uses predictive and generative artificial intelligence (AI) is rapidly growing. As in traditional clinical studies, the way in which AI studies are conducted can introduce systematic errors. The translation of this AI...

Exploring Perspectives of Health Care Professionals on AI in Palliative Care: Qualitative Interview Study.

JMIR human factors
BACKGROUND: The use of artificial intelligence (AI) methods in palliative care research is increasing. Most AI palliative care research involves the use of routinely collected data from electronic health records; however, there are few data on the vi...

Understanding Physician Attitudes Toward AI in Clinical Decision-Making: Cross-Sectional Study.

JMIR formative research
BACKGROUND: The Kingdom of Saudi Arabia (KSA) has made tremendous efforts to promote the adoption of advanced technologies such as artificial intelligence (AI). While the successful adoption of AI is dependent on physician perception, there is a scar...

Bridging the AI-Literacy Gap in Health Care: Qualitative Analysis of the Flanders Case Study.

Journal of medical Internet research
BACKGROUND: Building on the assertion that nearly every clinician will eventually use artificial intelligence (AI), this study provides a triangulated qualitative analysis of the requirements, challenges, and prospects for integrating AI into routine...

Comparative analysis of AI on human nutrition knowledge: Evaluating large language model-based conversational agents against dietetics students and the general population.

PloS one
Understanding the core principles of nutrition is essential in the contemporary context of abundant and often contradictory dietary advice, to empower individuals to make informed dietary choices and manage diet-related non-communicable diseases. The...