AI Medical Compendium

A Review on Image Processing and Fractal Analysis in Oral Potentially Malignant Disorders.

Oral diseases Feb 26, 2026

AIM: The clinical evaluation of patients with oral potentially malignant disorders is primarily based on physical examination and observable clinical features. Clinical photographs play a key role in patient monitoring and help identify signs that ma... read more

A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data.

Journal of chemical information and modeling Feb 26, 2026

Computational blind challenges offer critical, unbiased opportunities to assess and accelerate scientific progress, as demonstrated by a breadth of breakthroughs over the past decade. We report the outcomes and key insights from an open science commu... read more

A transparent, lightweight and sustainable Green Learning AI model for prostate cancer detection on MRI.

BJU international Feb 26, 2026

OBJECTIVES: To develop a novel transparent and lightweight machine learning model, the Green Learning (GL), for automated prostate segmentation (PS) and clinically significant prostate cancer (csPCa) detection on magnetic resonance imaging (MRI). PAT... read more

Changes in personality functioning following psychotherapy: Utilizing machine learning to identify predictors in a psychodynamic psychotherapy sample.

Psychotherapy research : journal of the Society for Psychotherapy Research Feb 26, 2026

INTRODUCTION: Although personality functioning has a long psychodynamic tradition and has received renewed interest in psychotherapy research with the DSM-5 and ICD-11, little is known about its course and influencing factors following psychotherapy.... read more

LCMS-Net: Deep Learning for Raw High Resolution Mass Spectrometry Data Applied to Forensic Cause-of-Death Screening.

Analytical chemistry Feb 26, 2026

Current preprocessing workflows for untargeted metabolomics using liquid chromatography-high resolution mass spectrometry (LC-HRMS) are time-consuming and require significant domain knowledge. Furthermore, they lack reproducibility or may fail to det... read more

Artificial intelligence for personalized multiple micronutrient supplementation in maternal health.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Feb 26, 2026

Maternal undernutrition and micronutrient deficiencies remain pervasive, contributing to adverse pregnancy outcomes and long-term health risks for mothers and offspring. Multiple micronutrient supplementation (MMS) during pregnancy has demonstrated b... read more

Ethical challenges of using artificial intelligence in suicide prevention: a literature review.

The New bioethics : a multidisciplinary journal of biotechnology and the body Feb 26, 2026

Artificial intelligence (AI) is a tool that could provide useful prevention strategies for people at risk of suicide. However, there are many ethical challenges regarding sensitive or confidential data in the use of AI. This article identifies ethica... read more

Automated subcutaneous fat segmentation with a convolutional neural network in magnetic resonance guided high-intensity focused ultrasound treatment for uterine fibroids.

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group Feb 26, 2026

INTRODUCTION: In MR-guided high-intensity focused ultrasound (MR-HIFU) treatment for uterine fibroids, the subcutaneous abdominal fat layer is prone to unwanted heating, especially during consecutive sonications. Automating its delineation with a dee... read more

Defining the Data set Defines the QSAR Claim.

Journal of chemical information and modeling Feb 26, 2026

Machine learning has greatly expanded QSAR modeling, but predictive claims still depend on choices that are rarely documented: how chemicals are represented, how end points are defined, and how evaluations are designed. In the era of benchmarks and f... read more

Integrated machine learning risk model for predicting radiation pneumonitis in lung cancer patients with interstitial lung disease.

Annals of medicine Feb 26, 2026

BACKGROUND: Radiation pneumonitis (RP) is a serious complication in lung cancer patients with pre-existing interstitial lung disease (ILD) undergoing radiotherapy. Accurate risk stratification is crucial for individualized management. But predictive ... read more

Artificial Intelligence Medical Compendium