AI Medical Compendium

A Hardware-Feasible Quantum Machine Learning Framework for Structure-Based Virtual Screening.

Journal of chemical theory and computation Feb 4, 2026

In structure-based virtual screening, evaluating the binding free energy of protein-ligand complexes requires accounting for both molecular conformations and spatial transformations, such as shifts and rotations, which can lead to an exponential incr... read more

Machine-Learning Ice Spectra: From 1 to 256 Features.

Journal of chemical theory and computation Feb 4, 2026

The study explores how well machine learning and structural fingerprints can predict spectroscopic properties of ice (OH vibrational frequencies and 1H chemical shifts). A large theoretical data set (55 ice polymorphs, 1010 DFT data points both for t... read more

Effectiveness of AI-enhanced colonoscopy: A case-control study using real world evidence in a young screening age population.

Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association Feb 4, 2026

BACKGROUND: Computer aided detection (CADe) colonoscopy has been shown in randomized controlled trials to improve detection of adenomatous colorectal polyps. However, in real-world settings the benefits are less clear. Our objective was to assess CAD... read more

Perceptual Ratings Predict Speech Inversion Articulatory Kinematics in Childhood Speech Sound Disorders.

Journal of speech, language, and hearing research : JSLHR Feb 4, 2026

PURPOSE: This study evaluated whether articulatory kinematics, inferred by articulatory phonology speech inversion neural networks, aligned with perceptual ratings of /ɹ/ and /s/ in the speech of children with speech sound disorders. METHOD: Articula... read more

Field evaluation of drone and AI assisted larval source management in Ghana.

PloS one Feb 4, 2026

BACKGROUND: Malaria remains a major public health burden in sub-Saharan Africa. In Ghana, in particular, larval source management (LSM) is increasingly recognized as a complementary vector control strategy. This study evaluates a field-adapted LSM ap... read more

Comprehensive segmentation of focal cortical dysplasia by combining surface-based and whole-brain MRI deep learning algorithms: a proof-of-concept study.

Biomedical physics & engineering express Feb 4, 2026

Introduction.Focal cortical dysplasia type II (FCD II) is a significant cause of drug-resistant epilepsy, and the full surgical resection of the lesion is linked with excellent disease-free outcomes. Its imaging hallmark is the white matter hyperinte... read more

iAFP-fLRM: Accurate identification of antifungal peptides via hybrid deep learning architecture and multi-modal feature fusion.

Biophysical chemistry Feb 4, 2026

Fungal infections (mycoses) represent a significant and increasing global health concern, particularly in immunocompromised populations. The emergence of antifungal drug resistance and the limited efficacy of conventional treatments necessitate the d... read more

CRISPR-initiated exponential amplification on fluorescently-barcoded microspheres for deep learning-assisted multiplexed HPV detection.

Biosensors & bioelectronics Feb 4, 2026

Rapid, low-cost, and multiplexed nucleic acid testing is essential for human health but remains challenging. Although CRISPR-Cas systems offer high specificity, their integration into Multiplexed platforms suitable for near-patient testing has been l... read more

A novel ECG QRS complex detection algorithm based on dynamic Bayesian network.

Artificial intelligence in medicine Feb 4, 2026

Accurate detection of the QRS complex, a crucial reference for heartbeat localization in electrocardiogram (ECG) signals, remains inadequate in wearable ECG devices due to complex noise interference. In this study, we propose a novel QRS complex dete... read more

A punishment neural network-based acceleration-level joint drift-free scheme for solving constrained motion planning problem of redundant robotic manipulators.

Neural networks : the official journal of the International Neural Network Society Feb 4, 2026

To solve the repetitive motion problem of redundant robotic manipulators, a punishment neural network-based acceleration-level joint drift-free (PNN-ALJDF) scheme is designed. Traditional joint physical limits constraints are fixed and lack margin. T... read more

Artificial Intelligence Medical Compendium