Artificial Intelligence Medical Compendium

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

Showing 49,841 to 49,850 of 224,814 articles

Expression of Concern: Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm.

PloS one Feb 17, 2026
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Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults.

PLOS global public health Feb 17, 2026
With rapid urbanization, lifestyle changes, and an aging population, non-communicable diseases (NCDs), including hypertension and diabetes, pose significant public health challenges in Bangladesh and many other low- and middle-income countries. This ... read more 

Early diagnosis of Alzheimer's Disease: Graph theoretical analysis of cerebellar network features based on 18F-AV45 PET.

PloS one Feb 17, 2026
Pathological and neuroimaging changes in the cerebellum of Alzheimer's disease (AD) patients have been well documented. However, the changes in cerebellar amyloid plaque deposition connectivity networks during AD progression based on positron emissio... read more 

Image-based machine learning models for customized soil moisture management.

PloS one Feb 17, 2026
Crop growth can vary even under the same cultivation conditions, highlighting the limitations of conventional smart farming systems that apply uniform treatments to all crops. These average-based approaches often overlook individual plant needs shape... read more 

Beyond automation: How IT professionals utilize the invisible AI arm?

PloS one Feb 17, 2026
Artificial intelligence (AI) is transforming task optimization across many occupations, particularly within the IT sector. Understanding how IT professionals use AI is crucial for establishing benchmarks and informing best practices. This mixed‑metho... read more 

Octopamine signaling from clock neurons plays dual roles in Drosophila long-term memory.

PLoS genetics Feb 17, 2026
Circadian clock genes are best known for regulating circadian rhythms, but they also play crucial roles in memory processes. This suggests that memory is modulated by neural networks containing clock neurons, although the underlying mechanisms remain... read more 

DRfold2 is a deep learning-based tool that enables efficient and accurate RNA structure prediction.

PLoS biology Feb 17, 2026
RNA structures are essential for understanding their biological functions and developing RNA-targeted therapeutics. However, accurate RNA structure prediction from sequence remains a crucial challenge. We introduce DRfold2, a deep learning framework ... read more 

Justifying model complexity: Evaluating transfer learning against classical models for intraoperative nociception monitoring under anesthesia.

PloS one Feb 17, 2026
BACKGROUND: Accurate intraoperative detection of nociceptive events is essential for optimizing analgesic administration and improving postoperative outcomes. Although deep learning approaches promise improved modeling of complex physiologic dynamics... read more 

Can generative artificial intelligence enhance evidence-based and personalized medicine?

PLoS medicine Feb 17, 2026
Should clinical applications of generative artificial intelligence (GAI) be designed to follow treatment guidelines rigidly, provide individualized recommendations, or be somewhere in-between? A recent study in PLOS Medicine comparing GAI versus phys... read more 

MENDELSEEK: An algorithm that predicts mendelian genes and elucidates what makes them special.

PLoS computational biology Feb 17, 2026
Although individual Mendelian diseases-those caused by a single gene-are rare, their collective disease burden is substantial. Identifying the causal gene for each condition is essential for accurate diagnosis and effective treatment. Yet, despite de... read more 
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