AI Medical Compendium

Generative artificial intelligence based models optimization towards molecule design enhancement.

Journal of cheminformatics Aug 4, 2025

Generative artificial intelligence (GenAI) models have emerged as a transformative tool for addressing the complex challenges of drug discovery, enabling the design of structurally diverse, chemically valid, and functionally relevant molecules. Despi... read more

Personality Constructs Predictions Beyond FFM/Big5: A Digital Phenotyping-Based Exploration.

Journal of personality Aug 4, 2025

OBJECTIVE: The application of digital phenotyping in personality research leverages smartphone-generated data to quantify individual differences in personality constructs. It can be conceptualized as an extension of Experience Sampling Methods (ESMs)... read more

Early prediction of proton therapy dose distributions and DVHs for hepatocellular carcinoma using contour-based CNN models from diagnostic CT and MRI.

Radiation oncology (London, England) Aug 4, 2025

BACKGROUND: Proton therapy is commonly used for treating hepatocellular carcinoma (HCC); however, its feasibility can be challenging to assess in large tumors or those adjacent to critical organs at risk (OARs), which are typically assessed only afte... read more

Humans Neural Networks, Computer Tomography, X-Ray Computed Female Aged Male Middle Aged Liver Neoplasms Carcinoma, Hepatocellular Magnetic Resonance Imaging Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Proton Therapy

Gated recurrent unit with decay has real-time capability for postoperative ileus surveillance and offers cross-hospital transferability.

Communications medicine Aug 4, 2025

BACKGROUND: Ileus, a postoperative complication after colorectal surgery, increases morbidity, costs, and hospital stays. Assessing risk of ileus is crucial, especially with the trend towards early discharge. Prior studies assessed risk of ileus with... read more

A computational eye state classification model using EEG signal based on data mining techniques: comparative analysis.

Physical and engineering sciences in medicine Aug 4, 2025

Artificial Intelligence has shown great promise in healthcare, particularly in non-invasive diagnostics using bio signals. This study focuses on classifying eye states (open or closed) using Electroencephalogram (EEG) signals captured via a 14-electr... read more

Neuromorphic Hebbian learning with magnetic tunnel junction synapses.

Communications engineering Aug 4, 2025

Neuromorphic computing aims to mimic both the function and structure of biological neural networks to provide artificial intelligence with extreme efficiency. Conventional approaches store synaptic weights in non-volatile memory devices with analog r... read more

Exploring supervised machine learning models to estimate blood pressure using non-fiducial features of the photoplethysmogram (PPG) and its derivatives.

Physical and engineering sciences in medicine Aug 4, 2025

Machine learning has proven valuable in developing photoplethysmography (PPG)-based approaches for blood pressure (BP) estimation, with many holding some promise for cuff-less BP assessment. Still, their efficacy relies on accurate and robust fiducia... read more

Unsupervised machine learning approach to interpret complex lower urinary tract symptoms and their impact on quality of life in adult women.

World journal of urology Aug 4, 2025

PURPOSE: To identify clinically meaningful clusters of lower urinary tract symptoms (LUTS) in adult women using an unsupervised machine learning approach and to examine their associations with patient-centered outcomes, including quality of life (QoL... read more

Humans Machine Learning Female Aged Young Adult Adult Middle Aged Quality of Life Unsupervised Machine Learning Japan Lower Urinary Tract Symptoms

The relationship between clinical subtypes, prognosis, and treatment in ICU patients with acute cholangitis using unsupervised machine learning methods.

BMC infectious diseases Aug 4, 2025

BACKGROUND: Acute cholangitis (AC) presents with significant clinical heterogeneity, and existing severity classifications have limited prognostic value in critically ill patients. Subtypes of AC in critically ill patients have not been investigated. read more

Humans Prognosis Retrospective Studies Critical Illness Intensive Care Units Female Aged Male Middle Aged Unsupervised Machine Learning Acute Disease Cholangitis

varCADD: large sets of standing genetic variation enable genome-wide pathogenicity prediction.

Genome medicine Aug 4, 2025

BACKGROUND: Machine learning and artificial intelligence are increasingly being applied to identify phenotypically causal genetic variation. These data-driven methods require comprehensive training sets to deliver reliable results. However, large unb... read more

Humans Machine Learning Software Genome-Wide Association Study Genomics Computational Biology Databases, Genetic Genetic Variation Genome, Human

Artificial Intelligence Medical Compendium