AI Medical Compendium

Real-time, artificial intelligence-guided intraoperative resuscitation and fluid management in trauma anesthesia.

Current opinion in anaesthesiology Feb 11, 2026

PURPOSE OF REVIEW: To synthesize recent advances in intraoperative resuscitation for trauma surgery, including fluid composition, transfusion thresholds, and coagulopathy management, and to identify emerging directions that address persistent gaps in... read more

Feasibility of machine learning classification of depression and anxiety symptoms among college students using 3D gait and sit-to-walk biomechanics.

Gait & posture Feb 11, 2026

BACKGROUND: Depression and anxiety are common and burdensome. Objective movement assessment may complement questionnaires by providing low burden screening signals. RESEARCH QUESTION: Can 3D gait and sit-to-walk biomechanics classify elevated depress... read more

Recognizing EEG responses to active TMS vs. sham stimulations in different TMS-EEG datasets: A machine learning approach.

NeuroImage Feb 11, 2026

Transcranial Magnetic Stimulation with simultaneous Electroencephalogram (TMS-EEG) allows for the assessment of neurophysiological properties of cortical neurons. However, TMS-evoked EEG potentials (TEPs) can be affected by components unrelated to TM... read more

Cognitive and neural mechanisms of improving informal reasoning in human-GenAI interactive learning contexts: An fNIRS study.

NeuroImage Feb 11, 2026

While generative artificial intelligence (GenAI) has advanced personalized interactive learning, the cognitive and neural mechanisms underlying learners' informal reasoning improvement remain underexplored. Thus, we conducted sliding-window correlati... read more

Enhancing Inpatient Mortality Prognostication in Cirrhosis Patients Through Machine Learning Techniques.

Gastroenterology Feb 11, 2026

Machine Learning in Cirrhosis: Moving From Static Admission Risk to Dynamic Decision Support.

Gastroenterology Feb 11, 2026

From Observation to Prediction: Machine Learning Analysis of Progression of Visual loss in Nonarteritic Anterior Ischemic Optic Neuropathy.

American journal of ophthalmology Feb 11, 2026

OBJECTIVE: To determine whether combinations of modifiable clinical/systemic risk factors and structured trial variables predict early disease progression in acute NAION, as a clinical-feature benchmark, using machine learning for multivariable analy... read more

Automated segmentation of pterygium lesions using multiscale deep learning networks.

Experimental eye research Feb 11, 2026

Pterygium is an eye condition that needs to be identified at an early stage so that its progression can be mitigated in order to avoid the possible threat of visual impairment. One of the important low-level modules in determining the severity level ... read more

Rational formulation design through retrospective machine learning methodology: Case study ibuprofen.

International journal of pharmaceutics Feb 11, 2026

The presented work investigates critical aspects of rational formulation design through machine learning (ML) methodology to identify essential patterns in immediate release ibuprofen oral dosage products influencing its pharmacokinetic profile. Regi... read more

AFTS: A patient-agnostic encoder-decoder architecture with directional attention for blood glucose forecasting.

Journal of biomedical informatics Feb 11, 2026

Accurate blood glucose forecasting remains challenging due to inter-patient heterogeneity and complex glycemic dynamics. We present AFTS (Adaptive Feature Time Series), a patient-agnostic deep learning architecture combining a bidirectional LSTM enco... read more

Artificial Intelligence Medical Compendium