Artificial Intelligence Medical Compendium

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

Showing 24,641 to 24,650 of 217,425 articles

Intrinsic polar vortex crystals in A-site layer-ordered perovskites.

Nature
Topological phases, as characterized by their topological invariants, have been considered as distinct states from the raw phases and hold great promise as tiny yet robust information carriers for the era of artificial intelligence1,2. However, these... read more 

Improving access to essential medicines via decision-aware machine learning.

Nature
A critical challenge in healthcare systems in low- and middle-income countries is the efficient and equitable allocation of scarce resources, particularly essential medicines1. This problem is complicated by limited high-quality data, which restricts... read more 

Explainable machine learning differentiates necrotizing fasciitis and osteomyelitis via routine blood biomarkers.

NPJ digital medicine
Necrotizing fasciitis (NF) and osteomyelitis (OM) are severe, limb-threatening infections with overlapping features, making early differentiation challenging. To address this, we developed and validated an explainable machine learning model using rou... read more 

Radiologist-AI Collaboration for Ischemia Diagnosis in Small-Bowel Obstruction: Multicentric Development and External Validation of a Multimodal Deep Learning Model.

Journal of imaging informatics in medicine
This study aims to develop and externally validate a multimodal AI model for detecting ischemia complicating small-bowel obstruction (SBO). We combined 3D CT data with routine laboratory markers (C-reactive protein, neutrophil count) and, optionally,... read more 

Artificial Intelligence at the Service of the ENT: A New Perspective on Tympanic Membrane Perforations.

Journal of imaging informatics in medicine
In this study, we present an innovative approach in medicine, leveraging the potential of artificial intelligence (AI) for the diagnosis of tympanic membrane perforations. Due to its central role in sound transmission, the tympanic membrane is a key ... read more 

A reflexive artificial intelligence governance for transformative change in sustainability.

Ambio
Artificial intelligence (AI) is increasingly integrated in sustainability governance, yet most applications remain oriented towards optimisation and prediction, reducing complex social-ecological issues to technical problems. This narrow focus neglec... read more 

In-hospital electronic monitoring system approaches to epidemiologic investigation and predictive modeling of contrast-induced acute kidney injury.

Renal failure
Contrast-induced acute kidney injury (CI-AKI), the third most common cause of hospital-acquired kidney injury, is associated with poor clinical outcomes, highlighting the need for accurate prediction. In this study, we used an electronic hospital mon... read more 

Diagnosis of Acromegaly.

The Journal of clinical endocrinology and metabolism
The clinical presentation of acromegaly reflects systemic effects of chronic GH and IGF-I excess. Diagnostic delay frequently ranges from 6 to 10 years. While classical manifestations such as acral enlargement and facial coarsening are diagnostically... read more 

CADP: Connection-Aware DenseNet Pruning for lightweight plant disease classification.

BMC plant biology
Plant diseases threaten global agriculture, and deep learning-based disease recognition has become crucial for addressing this challenge. While DenseNet excels in plant disease classification due to its dense connectivity, its large size limits deplo... read more 

An attention-based deep learning model for early detection of polyphagous shot hole borer infestations in plants.

BMC plant biology
The Polyphagous Shot Hole Borer (PSHB) is a highly invasive beetle that has been spreading like an epidemic across agricultural and forestry landscapes in recent years. Its rapid and destructive spread has turned it into a major global threat, causin... read more