Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 72,971 to 72,980 of 235,381 articles

Development and validation of a natural language processing system to assess quality of physician communication in prostate cancer consultations.

Prostate cancer and prostatic diseases
BACKGROUND: AUA guidelines for shared decision making (SDM) in prostate cancer recommend discussion of five content areas in consultations: (1) cancer severity (tumor risk (TR), pathology results (PR)); (2) life expectancy (LE); (3) cancer prognosis ... read more 

A Deep Learning Tool for Hip Minimum Joint Space Width Calculation on Antero-posterior Pelvis Radiographs.

The Journal of arthroplasty
BACKGROUND: Minimum joint space width (mJSW) is a useful quantitative metric of osteoarthritis progression in the hip, particularly as a continuous variable compared to more common categorical classification systems. The purpose of this study was to ... read more 

Electrode Net: tailoring deep learning with signed distance field for fast and accurate multiscale design of porous electrodes.

Science bulletin
Designing novel porous electrodes with desirable merits is the key to advancing next-generation high-performing flow cells such as fuel cells, water electrolyzers, and flow batteries. However, engineering porous electrodes rationally and methodically... read more 

Lightweight self-attention and deep gated neural network (LSA-DGNet) for multiple neurological disease detection.

Computational biology and chemistry
Detecting neurological diseases is an important task in modern medicine, for which it is crucial to accurately model the temporal distributions of disease genesis. In prior methodologies, temporal patterns are used in feature effects and limiting ass... read more 

Warning: AI chatbots will soon dominate psychotherapy.

The British journal of psychiatry : the journal of mental science
Psychotherapy chatbots have attained remarkable fluency, skill and ubiquity - having become the single most frequent reason people use artificial intelligence. Their uncanny ability to engage and validate is a two-edged sword - useful for the majorit... read more 

Surgeon, Trainee, or GPT? A Blinded Multicentric Study of AI-Augmented Operative Notes.

The Laryngoscope
OBJECTIVES: Clear, complete operative documentation is essential for surgical safety, continuity of care, and medico-legal standards. Large language models such as ChatGPT offer promise for automating clinical documentation; however, their performanc... read more 

Navigating Medical Device Safety: Current Status, Challenges, and Future Regulatory Directions.

Drug safety
Medical devices are indispensable in modern healthcare. They enable the prevention, diagnosis, and treatment of diseases while enhancing patient outcomes. However, the increasing complexity of these devices, particularly those incorporating advanced ... read more 

Attention-based deep learning network for predicting World Health Organization meningioma grade and Ki-67 expression based on magnetic resonance imaging.

European radiology
OBJECTIVES: Preoperative assessment of World Health Organization (WHO) meningioma grading and Ki-67 expression is crucial for treatment strategies. We aimed to develop a fully automated attention-based deep learning network to predict WHO meningioma ... read more 

State of science: New frontiers in inclusive design and digital health intervention.

Ergonomics
Inclusive design has evolved as a design approach and a research topic in the last three decades. Despite its evolution, there are new frontiers to consider in the context of two phenomena: global ageing populations and the digital transition of serv... read more