Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 220,100 articles

Performance of AI Chatbots in Providing EFP S3-Level Guideline-Based Information for Stage IV Periodontitis.

Journal of periodontal research
Benchmarking AI chatbots using structured questions derived from the EFP S3-level guideline for stage IV periodontitis showed high clarity but variable guideline alignment and source reporting. Apparent chatbot rankings were attenuated after excludin... read more 

Acceptability of AI-Assisted Psychotherapy to Prospective Patients and Their Intent to Continue Treatment: A Vignette Study.

American journal of psychotherapy
OBJECTIVE: The authors examined how transparency of artificial intelligence (AI) use (transparent vs. covert) and modality of therapy (telehealth vs. text based) influenced prospective patients' perceived acceptability of AI assistance and intent to ... read more 

Operator learning for models of tear film breakup.

Mathematical medicine and biology : a journal of the IMA
Tear film (TF) breakup is a key driver of understanding dry eye disease, and estimating TF thickness and osmolarity from fluorescence (FL) imaging typically requires solving computationally expensive inverse problems. We propose an operator learning ... read more 

Automated classification of musculoskeletal abnormalities using a dynamic ensemble of deep vision models.

Medical & biological engineering & computing
Detecting and classifying musculoskeletal disorders is vital to preventing long-term disability and limited mobility; however, this procedure is challenging due to the shortage of radiologists. Existing artificial intelligence technologies, particula... read more 

Evaluating machine learning and neural network architectures for forensic sex estimation using mandibular ramus and notch features on panoramic radiographs.

International journal of legal medicine
Estimating a biological profile, such as sex, is a fundamental step in forensic identification when primary identifiers are unavailable for direct individual comparison. In forensic scenarios involving advanced decay, specific taphonomic alterations,... read more 

Can Intelligent Monitoring Help Older Adults Live Safely at Home Longer?

Journal of medical Internet research
With the population aged 65 years and over projected to represent 1 in 6 people by 2050, expanding health care systems' capacity to support healthy aging in place is a growing global priority. In this News and Perspectives article, JMIR Correspondent... read more 

Predicting Cesarean Section Delivery in the United States Using Machine Learning: Population-Based Retrospective Study.

JMIR formative research
BACKGROUND: Cesarean section (C-section) is the most common surgical procedure in the United States, yet its use varies widely across regions and institutions. Although clinical risk factors are central to delivery decisions, geographic context, heal... read more 

Machine Learning in Palliative Care: Scoping Review of Applications.

JMIR AI
BACKGROUND: Palliative care is increasingly recognized as essential for an aging population and rising life-limiting illnesses. Machine learning (ML) has been widely applied in this field, primarily for prognostication. However, recent literature sug... read more 

Does preceding crash information improve classification of injury involvement in subsequent expressway crashes? The role of spatiotemporal linkage.

Traffic injury prevention
OBJECTIVES: To determine whether preceding-crash characteristics add information for classifying injury involvement in a later expressway crash after current-crash characteristics and explicit spatiotemporal linkage are considered. METHODS: Administr... read more