Artificial Intelligence Medical Compendium

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

Showing 73,431 to 73,440 of 235,503 articles

Can medical students use artificial intelligence to learn transfusion? Evaluating ChatGPT responses to the American Society of Hematology medical student transfusion learning objectives.

Vox sanguinis
BACKGROUND AND OBJECTIVES: Chat generative pretrained transformer (ChatGPT) is a large language model that is already in wide use among medical students as a means of learning. Many papers have evaluated ChatGPT as a presenter of medical knowledge fo... read more 

Design of Tough 3D Printable Elastomers with Human-in-the-Loop Reinforcement Learning.

Angewandte Chemie (International ed. in English)
The development of high-performance elastomers for additive manufacturing requires overcoming complex property trade-offs that challenge conventional material discovery pipelines. Here, a human-in-the-loop reinforcement learning (RL) approach is used... read more 

A comprehensive analysis of transcription factors identified TCF3 as a prognostic target for glioma.

Scientific reports
Transcription factors (TFs) are pivotal in tumor initiation and progression, regulating downstream gene expression and modulating cellular processes. In this study, we conducted a comprehensive analysis of TF gene sets to define the molecular subtype... read more 

Lay beliefs about AI assessment of interpersonal skills in personnel selection.

Scientific reports
Artificial intelligence (AI) is revolutionizing talent acquisition, with organizations increasingly replacing humans with AI technologies in personnel selection processes. Field studies of nurses provide preliminary evidence that AI can outperform hu... read more 

Machine learning modeling and analysis of prognostic hub genes in cervical adenocarcinoma: a multi target therapy for enhancement in immunosurveillance.

Discover oncology
Endocervical adenocarcinoma (ECA) the fatal and intrusive subtype of cervical carcinoma is on rise from the last decade. Its improper detection leads to worst clinical outcomes that urges the discovery of novel biomarkers. Therefore, we proposed insi... read more 

Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning.

NPJ digital medicine
Pathologic myopia is a leading cause of visual impairment and blindness. While deep learning-based approaches aid in recognizing pathologic myopia using color fundus photography, they often rely on implicit patterns that lack clinical interpretabilit... read more 

Comparison of the effects of robot-assisted gait training using FES versus virtual reality for stroke patients. A randomized clinical trial.

Topics in stroke rehabilitation
BACKGROUND: Robot-assisted gait training is becoming an effective alternative to therapist-assisted gait training in stroke rehabilitation. This method has the potential to reduce therapist burden and treatment costs, and is receiving considerable at... read more 

The Power of Hellmann-Feynman Theorem: Kohn-Sham DFT Energy Derivatives with Respect to the Parameters of the Exchange-Correlation Functional at Linear Cost.

The journal of physical chemistry. A
Efficient methods for computing derivatives with respect to the parameters of scientific models are crucial for applications in machine learning. These methods are important when training is done using gradient-based optimization algorithms or when t... read more 

Impact of three-dimensional prostate models during robot-assisted radical prostatectomy on surgical margins and functional outcomes.

BJU international
BACKGROUND: Robot-assisted radical prostatectomy (RARP) is the standard surgical procedure for the treatment of prostate cancer. RARP requires a trade-off between performing a wider resection in order to reduce the risk of positive surgical margins (... read more 

Predictive Modeling of Comorbid Depression and Anxiety Symptoms Among Prospective University Students: A GIS-Based and Machine Learning Study.

Psychological reports
Prospective university students are highly susceptible to mental health issues such as depression and anxiety. This study investigates the prevalence and risk factors associated with comorbid depression and anxiety suffering, integrating GIS and Mach... read more