Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 9,141 to 9,150 of 208,441 articles

Deep learning for early detection of guava fruit anthracnose and fruit fly infestation.

BMC plant biology
Anthracnose and fruit fly infestation are major biotic constraints on guava (Psidium guajava) production in South Asia, causing substantial yield losses and post-harvest degradation. Early-stage symptoms (lesions < 2 mm, subtle puncture marks) are of... read more 

AutoCumulus: an automated mammographic density measure created using artificial intelligence.

BMC cancer
BACKGROUND: Mammographic (or breast) density is an established risk factor for breast cancer, previously measured using a variety of quantitative, semi-automated and automated approaches. We present a new automated measure, AutoCumulus, learned from ... read more 

KRASG12V/A146T mutations are associated with nCRT resistance via enhanced DNA double-strand break repair and support a deep learning prediction framework in LARC.

Cellular & molecular biology letters
BACKGROUND: Neoadjuvant chemoradiotherapy (nCRT) is the standard treatment for locally advanced rectal cancer (LARC), yet clinically validated biomarkers for predicting response remain lacking. This study aimed to identify candidate molecular events ... read more 

Evaluation of the accuracy, quality, and readability of large language models on local anesthesia and general anesthesia-sedation in dentistry.

BMC anesthesiology
PURPOSE: This study aims to compare the responses provided by commonly used artificial intelligence-based chatbots such as ChatGPT-3.5, ChatGPT-4o, Gemini 2.0 Flash, and DeepSeek-R1 about dental local anesthesia, sedation, and general anesthesia in t... read more 

Artificial intelligence in emergency mechanical ventilation: a prospective observational comparison with emergency physician ventilator settings.

BMC emergency medicine
BACKGROUND: Artificial intelligence (AI) has the potential to support clinicians in high-risk and complex decision-making processes, such as mechanical ventilation. This prospective observational study aimed to compare mechanical ventilator settings ... read more 

Integrated analysis of human-mouse gut microbiota in RSV infection based on machine learning.

BMC microbiology
BACKGROUND: Respiratory syncytial virus (RSV) is a leading cause of lower respiratory tract infections in children, but effective treatment options remain limited. The gut-lung axis, which highlights the role of gut microbiota in regulating respirato... read more 

Unload the load: Optimizing anatomy instruction with cognitive load theory.

Anatomical sciences education
Anatomy is a demanding subject due to the complex nature of anatomical structures and intricate terminology, placing high cognitive demands on students. These challenges can lead to cognitive overload, hindering retention, comprehension, and the abil... read more 

Artificial Intelligence Tools in Psychiatric Education: Innovating While Maintaining Human Connection.

Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry
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Non-invasive Computational Techniques for Diagnosing Myocardial Ischemia: Challenges and Future of FFRCT/iFRCT.

Annals of biomedical engineering
Computational fluid dynamics (CFD)-based numerical calculation of fractional flow reserve (FFRCT) and instantaneous wave-free ratio (iFRCT) is a crucial non-invasive technology for assessing myocardial ischemia. Their diagnostic accuracy depends on p... read more 

Please follow the rules: surgical workflow recognition constrained by linear temporal logic.

International journal of computer assisted radiology and surgery
PURPOSE: Surgical workflow recognition aims at automatically recognizing the actions performed during a surgery. Deep learning methods showed their capacity to recognize these actions, but with heavy reliance on training data only, which can sometime... read more