AI Medical Compendium

Automated Tooth Detection and Caries Identification in CBCT With Deep Learning.

International dental journal Mar 17, 2026

OBJECTIVES: Deep learning networks have achieved significant progress in caries diagnosis, but automated localization and numbering of carious teeth in cone-beam computed tomography (CBCT) images remain underexplored. This study aimed to develop a tw... read more

A review on oxidation pretreatment for mitigating ultrafiltration membrane fouling caused by natural organic matter in water treatment.

Journal of environmental management Mar 17, 2026

Ultrafiltration (UF) is a promising water treatment technology due to its low energy consumption, cost-effectiveness, and efficient removal of microbial contaminants. However, membrane fouling caused by natural organic matter (NOM), which is ubiquito... read more

Enabling recycling of critical metals for electric vehicles.

Journal of environmental management Mar 17, 2026

The transition to net-zero emissions is driving electric vehicle (EV) deployment, with global EV stock expected to surpass 350 million by 2030, rising critical mineral demand. The prevailing linear economy and inequitable geographic distribution of r... read more

Developing and evaluating multimodal large language model for orthopantomography analysis to support clinical dentistry.

Cell reports. Medicine Mar 17, 2026

Orthopantomography (OPG) is a primary screening tool for initial dental diagnosis, yet existing AI support typically operates in a one-way manner, lacking interactive nature like ChatGPT. To address this, we introduce ToothXpert, a dental diagnostic ... read more

Deep-learning-based de novo discovery and design of therapeutics that reverse disease-associated transcriptional phenotypes.

Cell Mar 17, 2026

Identifying drugs that reverse disease-associated transcriptomic features has been widely explored for drug repurposing, but its potential for de novo drug discovery remains underexplored. Here, we present gene expression profile predictor on chemica... read more

Automated phenotyping of mammary gland tissues using computer vision systems.

Journal of dairy science Mar 17, 2026

Quantifying mammary gland tissue composition is crucial for understanding growth patterns and future lactation potential in dairy heifers, yet conventional histological analysis is labor-intensive and time-consuming. This study developed an automated... read more

A harmonized global prediction of biodegradable dissolved organic carbon in freshwater systems using optical indices and machine learning.

Environmental research Mar 17, 2026

Biodegradable dissolved organic carbon (BDOC) is the most reactive fraction of dissolved organic matter (DOM) and a major driver of carbon dioxide (CO2) emissions from inland waters, yet its large-scale assessment is constrained by incubation-based m... read more

Pretreatment Radiation Esophagitis Prediction Using Quantum Machine Learning in Patients With Esophageal Cancer.

International journal of radiation oncology, biology, physics Mar 17, 2026

PURPOSE: To introduce a hybrid quantum-classical machine learning approach and validate its feasibility and accuracy for pretreatment radiation-induced esophagitis (RE) prediction in patients with esophageal cancer undergoing radiation therapy or che... read more

A framework of hybrid deep learning and nature-inspired algorithms for accurate multi-class fundus disease classification.

Experimental eye research Mar 17, 2026

Fundus imaging is an essential technique for detecting anatomical changes indicative of various ophthalmological diseases. These alterations-including changes in the macula, optic disc, fovea, and blood vessels-can signal conditions such as diabetic ... read more

Predicting progression of Mycobacterium avium complex pulmonary disease with treatment using explainable artificial intelligence techniques.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases Mar 17, 2026

OBJECTIVES: The incidence of nontuberculous mycobacterial pulmonary disease (NTM-PD) is rising; however, only certain patients experience disease progression requiring therapy. METHODS: This retrospective cohort study enrolled 303 adults (age ≥ 20 ye... read more

Artificial Intelligence Medical Compendium