AI Medical Compendium

Reclaiming the Professional Narrative: Optimism, Action, and a Roadmap for the Future of Physical Therapist Education.

Journal, physical therapy education Jan 15, 2026

BACKGROUND AND PURPOSE: Concerns about student debt, wages, and reimbursement pressures are increasingly shaping the discourse within physical therapy. These challenges are real, but much of the discourse around physical therapy education is being sh... read more

Benchmarking Isomerization Energies for C 5 $$ {\mathrm{C}}_5 $$ - C 7 $$ {\mathrm{C}}_7 $$ Hydrocarbons: The ISOC7 Database.

Journal of computational chemistry Jan 15, 2026

Highly accurate benchmark databases are critical for the development of robust and computationally efficient electronic structure methods. We introduce the ISOC7 database, a diverse collection of 1308 unique constitutional isomers of C 5 $$ {\ma... read more

Explainable AI for pain perception: subject-independent EEG decoding using DeepSHAP and CNNs.

Biomedical physics & engineering express Jan 15, 2026

Objective.Accurate classification of pain levels is essential for clinical monitoring, particularly in clinical populations with limited verbal communication. This study explores the feasibility of decoding pain from EEG using explainable deep learni... read more

Humans Neural Networks, Computer Algorithms Brain Female Young Adult Adult Male Deep Learning Pain Measurement Electroencephalography Signal Processing, Computer-Assisted Pain Brain-Computer Interfaces Pain Perception

ACFSENet: an adaptive cross-frequency global sparse encoding network for end-to-end EEG emotion recognition.

Biomedical physics & engineering express Jan 15, 2026

End-to-end EEG-based emotion recognition is attracting increasing attention due to its potential in human-computer interaction, mental health, and affective brain-computer interfaces (aBCIs). However, most existing methods overlook cross-frequency in... read more

Humans Neural Networks, Computer Algorithms Brain Emotions Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces

NAR Broad Learning System for dynamical systems prediction.

Neural networks : the official journal of the International Neural Network Society Jan 15, 2026

Dynamical systems evolve over time, and predicting their behavior is difficult because of their complex spatiotemporal relationship. Although data-driven models have achieved great success in dynamical system analysis, extracting temporal dynamic and... read more

Comment on "Early warning of harmful cyanobacteria blooms based on high frequency in situ monitoring and intelligible machine learning modelling: The case study of Lake Müggelsee (Germany)" by Recknagel et al. (Water Research 287 2025 124,514).

Water research Jan 15, 2026

Recknagel et al. (2025) present a timely study leveraging high-frequency in-situ data and three fundamentally different machine learning algorithms to forecast cyanobacterial blooms in Lake Müggelsee at a 5-day horizon. However, we note that four met... read more

Construction of a classification system for long-term care service needs among the elderly based on cluster analysis and machine learning: A multi-center, cross-sectional study in central China.

International journal of nursing studies Jan 15, 2026

BACKGROUND: Rapid global aging has led to an increasing demand for long-term care services for the elderly; however, current long-term care systems are underdeveloped and under-resourced. It is essential to develop an effective classification system ... read more

Biometric Data in Post-Traumatic Stress Disorder Detection: A Scoping Review of Digital Health Applications.

International journal of medical informatics Jan 15, 2026

CONTEXT: Post-traumatic stress disorder (PTSD) is mainly assessed through self-reports and clinician interviews, which can delay recognition and limit reach. Biometric markers captured using digital technologies may enable earlier and more objective ... read more

Predicting upwelling dynamics in the South Sea of Java, Indonesia: A deep learning approach with ConvLSTM and 3D-CNN.

MethodsX Jan 15, 2026

Oceans exhibit complex dynamics influenced by climate change, anthropogenic activities, and natural phenomena. Understanding these dynamics is critical for ensuring the sustainability of marine environments and their optimal utilization. This researc... read more

A multi-angle reflectance dataset of wheat and peach trees with unmanned aerial vehicle imagery.

Data in brief Jan 15, 2026

Medium- to high-resolution satellite data, such as Sentinel-2 and Landsat-8, have significantly enhanced the accuracy of vegetation monitoring. However, canopy reflectance and vegetation indices are affected by the bidirectional reflectance distribut... read more

Artificial Intelligence Medical Compendium