AI Medical Compendium

A decoction-inspired genetic algorithm and PPO reinforcement learning for intelligent molecular discovery: Anti-colorectal cancer candidates from the tiao-pi AnChang formula.

Computers in biology and medicine Mar 20, 2026

BACKGROUND: Colorectal cancer (CRC) remains among the leading causes of cancer-related mortality worldwide. The TiaoPi AnChang Decoction (TPACD), a traditional Chinese herbal formula, has shown potential anti-CRC activity in preclinical studies (in v... read more

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

Structure (London, England : 1993) Mar 20, 2026

High-throughput data collection in single-particle cryo-electron microscopy (EM) necessitates fast, accurate, and generalizable methods to assess micrograph quality. Manual micrograph curation scales poorly to large datasets and often misclassifies i... read more

Application of Artificial Intelligence in Chronic Pain: Bibliometric Analysis.

Pain management nursing : official journal of the American Society of Pain Management Nurses Mar 20, 2026

BACKGROUND: In recent years, artificial intelligence (AI) has demonstrated great potential in the field of managing chronic pain (CP). AI can optimize treatment decisions, improve the quality of life of patients with CP, and promote the rational allo... read more

A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges.

The Lancet. Digital health Mar 20, 2026

Artificial intelligence (AI) has the potential to transform health care; however, successful integration of AI into health care requires overcoming obstacles, such as biases in data and AI models, and addressing challenges in generating sufficient cl... read more

Response to Letter to the Editor concerning, "Can artificial intelligence (AI)-based software programs generate accurate clinical dictation?".

The Journal of prosthetic dentistry Mar 20, 2026

International testing and refinement of AI algorithms predicting acute leukemia subtypes from routine laboratory data.

Nature communications Mar 20, 2026

Despite advances for patients with acute leukemia health disparities limit access to diagnosis and treatment. Artificial Intelligence (AI) approaches may address some disparities. We retrospectively assemble a diverse, international cohort of 6206 le... read more

Physics-informed Hamiltonian learning for large-scale optoelectronic property prediction.

Nature communications Mar 20, 2026

Predicting optoelectronic properties of large-scale atomistic systems under realistic conditions is crucial for rational materials design, yet computationally prohibitive with first-principles simulations. Recent neural network models have shown prom... read more

Viability classification of unstained cells in microscopic images using deep learning.

Applied microscopy Mar 20, 2026

Development and validation of the ultrasound-based radiomics and deep learning prognostic models for diffuse large B-cell lymphoma.

Annals of hematology Mar 20, 2026

DRDarkNet: a hybrid deep feature engineering model for accurate autopsy image classification.

International journal of legal medicine Mar 20, 2026

In deaths due to injury, photographs of changes on deceased bodies are routinely taken during the forensic examination; the task of differentiating the types of fatal injury can be posed as an image classification problem. We aimed to develop a machi... read more

Artificial Intelligence Medical Compendium