AI Medical Compendium

[Predictive value of a multimodal radiomics model for central lymph node metastasis in clinically node-negative papillary thyroid microcarcinoma based on machine learning].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences Jan 21, 2026

OBJECTIVES: To develop and validate a multimodal radiomics model based on machine learning for predicting central lymph node metastasis (CLNM) in patients with clinically node-negative (cN0) papillary thyroid microcarcinoma (PTMC). METHODS: A retrosp... read more

An online interpretable machine learning model for predicting cardiometabolic multimorbidity risk in patients with type 2 diabetes mellitus.

Scientific reports Jan 21, 2026

Cardiometabolic multimorbidity (CMM), a major complication in type 2 diabetes mellitus (T2DM), increases mortality and healthcare burden. Early identification of high-risk individuals is crucial for precision intervention. This study aimed to develop... read more

Generalizability and transferability of machine learning models using hyperspectral reflectance data for maize traits.

Scientific reports Jan 21, 2026

Hyperspectral reflectance provides rapid, non-destructive phenotyping of plant leaves. These data have been used to develop machine learning models for predicting diverse plant traits, yet key challenges remain. We collected hyperspectral reflectance... read more

Flemboda artificial intelligence: hybrid fuzzy-convolutional neural network for efficient chromosome abnormality classification.

Molecular genetics and genomics : MGG Jan 21, 2026

Chromosomal abnormality detection is a fundamental task in clinical genetics, as accurate identification of structural and numerical defects is essential for reliable diagnosis and treatment planning. However, many existing learning-based approaches ... read more

Humans Neural Networks, Computer Artificial Intelligence Algorithms Convolutional Neural Networks Image Processing, Computer-Assisted Fuzzy Logic Chromosome Aberrations Karyotyping

A P4HA2 hypoxia signature derived from single cell atlas stratifies conserved subtypes with prognostic significance in cervical squamous cell carcinoma.

BMC cancer Jan 21, 2026

Knowledge and awareness of dental residents regarding the applications of artificial intelligence for diagnosis and treatment planning- a cross-sectional survey.

BMC oral health Jan 21, 2026

BACKGROUND: With the high pace of development in technology worldwide, Artificial intelligence (AI) has given a new horizon to the world of medicine and dentistry. Numerous research studies have been carried out over the past decade that have assesse... read more

Ultrahigh-Linearity Triboelectric Nanogenerator for Dual Pressure-Frequency Sensing and Multi-Modal Recognition.

ACS applied materials & interfaces Jan 21, 2026

Triboelectric nanogenerators (TENGs) hold great promise as self-powered sensors, but their practical applications are limited by charge leakage at high filler concentrations, coupled pressure-frequency responses, and poor discrimination of materials ... read more

Immune Predictors of Radiotherapy Outcomes in Cervical Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 21, 2026

The immune microenvironment influences the sensitivity of patients to radiotherapy (RT), yet determinants of therapeutic resistance remain elusive. This study integrates single-cell transcriptomics and machine learning to delineate immune predictors ... read more

Machine learning reveals ecological thresholds and predicts future bacterial community shifts in a chronically eutrophic estuary.

Journal of environmental management Jan 21, 2026

Effectively managing eutrophic estuaries under climate change requires a quantitative understanding of how microbial communities respond to multiple environmental stressors. However, predicting these responses is challenging due to complex, non-linea... read more

From batch to fixed-bed biosorption of Congo red using surfactant-modified wood chips: Mechanistic insights, regeneration, real wastewater validation and machine-learning modelling.