AI Medical Compendium

2025 AMCA PRESIDENTIAL ADDRESS: BEST MANAGEMENT PRACTICES FOR TECHNOLOGY ADOPTION FOR SURVEILLANCE AND CONTROL OF MOSQUITOES1.

Journal of the American Mosquito Control Association Jul 28, 2025

Each year, the American Mosquito Control Association (AMCA) annual meeting features a program designed to highlight the various research, collaborations, and innovations that impact our programs throughout the USA. The AMCA meeting in San Juan, Puert... read more

Emergency medical services providers' perspectives on the use of artificial intelligence in prehospital identification of stroke- a qualitative study in Norway and Sweden.

BMC emergency medicine Jul 28, 2025

BACKGROUND: Stroke is a large and increasing health challenge, leading to acquired physical disability and mortality. A rapid diagnostic assessment in the acute phase of a stroke is crucial and highly time dependent. Studies suggest that artificial i... read more

Attitude of Health Personnel Interviews as Topic Middle Aged Qualitative Research Norway Focus Groups Emergency Medical Services Female Stroke Sweden Humans Adult Artificial Intelligence Male

Unsupervised identification of asthma symptom subtypes supports treatable traits approach.

Allergology international : official journal of the Japanese Society of Allergology Jul 28, 2025

BACKGROUND: Heterogeneity of asthma requires a personalized therapeutic approach. However, objective measurements, such as spirometry and fraction of exhaled nitric oxide (FeNO) for implementing treatable traits approach, are limited in low- and midd... read more

Laser-ablated nanoparticle-enhanced quartz tuning fork (QTF) sensor array for detection of volatile organic compounds (VOCs) and their mixtures assisted by neural network.

Mikrochimica acta Jul 28, 2025

The detection of volatile organic compounds (VOCs) and their mixtures is critical for applications ranging from environmental monitoring and industrial process control to non-invasive disease diagnostics. Electronic noses offer a promising route for ... read more

Electrical stimulation of stem cell-derived human neural networks for evaluating anti-seizure medications.

Epilepsia Jul 28, 2025

OBJECTIVE: Current preclinical epilepsy drug screening relies on animal models that poorly reflect human neurophysiology, leading to high failure rates in clinical translation. We aimed to establish a human in vitro model using human-induced pluripot... read more

Predicting Missed Appointments in Primary Care: A Personalized Machine Learning Approach.

Annals of family medicine Jul 28, 2025

PURPOSE: Factors influencing missed appointments are complex and difficult to anticipate and intervene against. To optimize appointment adherence, we aimed to use personalized machine learning and big data analytics to predict the risk of and contrib... read more

No-Show Patients Pennsylvania Longitudinal Studies Appointments and Schedules Logistic Models Female Aged Machine Learning Retrospective Studies Humans Middle Aged Adult Primary Health Care Male

Smart Detection of Food Spoilage Using Microbial Volatile Compounds: Technologies, Challenges, and Future Outlook.

Journal of agricultural and food chemistry Jul 28, 2025

Microbial volatile organic compounds (MVOCs) serve as early, noninvasive indicators of food spoilage and microbial contamination. This review critically assesses current methods for MVOC detection, including gas chromatography-mass spectrometry (GC-M... read more

Prediction of 1p/19q state in glioma by integrated deep learning method based on MRI radiomics.

BMC cancer Jul 28, 2025

PURPOSE: To predict the 1p/19q molecular status of Lower-grade glioma (LGG) patients nondestructively, this study developed a deep learning (DL) approach using radiomic to provide a potential decision aid for clinical determination of molecular strat... read more

Middle Aged Deep Learning Brain Neoplasms Male Chromosome Deletion Chromosomes, Human, Pair 1 Glioma Magnetic Resonance Imaging Aged Young Adult Adult Radiomics Retrospective Studies Female Neural Networks, Computer Humans Chromosomes, Human, Pair 19

In silico prediction of variant effects: promises and limitations for precision plant breeding.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jul 28, 2025

Sequence-based AI models show great potential for prediction of variant effects at high resolution, but their practical value in plant breeding remains to be confirmed through rigorous validation studies. Plant breeding has traditionally relied on ph... read more

Machine Learning Phenotype Genetic Variation Genome, Plant Models, Genetic Computer Simulation Plant Breeding Plants Genomics

Creating interpretable deep learning models to identify species using environmental DNA sequences.

Scientific reports Jul 28, 2025

Monitoring species' presence in an ecosystem is crucial for conservation and understanding habitat diversity, but can be expensive and time consuming. As a result, ecologists have begun using the DNA that animals naturally leave behind in water or so... read more

Deep Learning Animals Neural Networks, Computer DNA, Environmental Sequence Analysis, DNA Ecosystem

Artificial Intelligence Medical Compendium