AI Medical Compendium

Skill Information Representation Imitation Learning for Long-Horizon Dexterous Robot Micromanipulation of Deformable Cell.

IEEE transactions on cybernetics Jun 1, 2026

Robots performing collaborative long-horizon dexterity cell micromanipulation tasks are challenging and practically significant, such as peeling cell membranes, which is considered one of the most technically demanding procedures. The imitation learn... read more

Safe Optimal Control Framework for Cooperative Manipulation of Objects in Human-Robot Teams.

IEEE transactions on cybernetics Jun 1, 2026

This article introduces a distributed deep neural network (NN)-based adaptive control framework for cooperative object manipulation in human-robot teams with unknown agent dynamics by using three distinct multilayer NN observers (MNNOs). The first ob... read more

Automating infection indicator extraction in home healthcare through instruction-tuned large language models.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026

OBJECTIVE: Home healthcare (HHC) clinical notes contain critical infection indicators that clinicians need in structured "indicator + context" pairs. Data sparsity and limited computing resources hinder automated extraction in decentralized HHC setti... read more

Perceptions of Intensive Care Nurses Toward Artificial Intelligence Technologies: A Qualitative Study.

Nursing & health sciences Jun 1, 2026

Intensive care nurses play a pivotal role in patient care; however, their perceptions and concerns regarding artificial intelligence (AI) in intensive care units remain limited. This study aimed to explore ICU nurses' views on AI to support effective... read more

Artificial Intelligence Use in Problem-Based Learning: Implications for Clinical Reasoning.

The clinical teacher Jun 1, 2026

How to Teach Generative Artificial Intelligence in Undergraduate Medical Education.

The clinical teacher Jun 1, 2026

Generative artificial intelligence (AI) refers to computational systems capable of analysing data, recognising patterns and generating outputs that may support decisions. In healthcare, AI has the potential to improve diagnostic accuracy and provide ... read more

Leveraging clinical epidemiology concepts to strengthen machine learning fairness evaluations.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026

OBJECTIVES: The increasing use of machine learning (ML) in clinical care makes fairness a central issue. Fairness, defined as the absence of disparities across individuals or subgroups, shares several parallels with concepts in clinical epidemiology.... read more

Harnessing Artificial Intelligence to Counter Microbial Immune Evasion Strategies.

Clinical laboratory Jun 1, 2026

BACKGROUND: Microbial pathogens deploy sophisticated mechanisms to evade host immune responses, complicating the development of effective therapeutics. Artificial intelligence (AI) offers innovative tools to analyze complex host-pathogen interactions... read more

Unraveling the Dynamics of Oxytocin in Hypothalamic Neurons.

Traffic (Copenhagen, Denmark) Jun 1, 2026

Oxytocin plays a critical role in social behavior and maternal physiology, yet the intracellular dynamics of oxytocin-containing vesicles in neurons remain poorly characterized. Here, we combine experimental data from live cell imaging of oxytocin-co... read more

Using Machine Learning to Analyze the Predictors of Life Satisfaction: Focus on Lifestyle Attitudes and Psychological Factors.

International journal of methods in psychiatric research Jun 1, 2026

OBJECTIVES: Life satisfaction is an essential indicator of quality of life, and enhancing it can contribute to individual well-being strategies. Because it is a complex concept, a comprehensive approach is needed to address it effectively. Machine le... read more

Artificial Intelligence Medical Compendium