Artificial Intelligence Medical Compendium

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

Showing 16,831 to 16,840 of 213,633 articles

Evaluation of AI tool assisting primary healthcare physicians to diagnostic and treatment tasks.

Family medicine and community health
Primary healthcare (PHC) plays an important role in the healthcare system, yet the shortage of qualified primary healthcare physician (PHP) restricts the quality of diagnostic and treatment services provided by PHC institutions. The rapid development... read more 

An Introduction to Artificial Intelligence and Machine Learning for Veterinary Professionals.

The Veterinary clinics of North America. Small animal practice
Artificial intelligence (AI) and machine learning (ML) are increasingly being explored and adopted in veterinary medicine. This article provides veterinary professionals with a foundational understanding of AI and ML concepts, including the distincti... read more 

Language Models in Veterinary Clinical Practice: Applications, Risks, and Practical Guidance.

The Veterinary clinics of North America. Small animal practice
This article reviews computer systems that support veterinary clinical practice using artificial intelligence language models for language interpretation and generation, such as systems for client communication, medical records, clinical decision sup... read more 

Computer Vision and Deep Learning in Small Animal Cytology and Slide Review.

The Veterinary clinics of North America. Small animal practice
Computer vision (CV) is an emerging application of artificial intelligence (AI) with growing relevance to veterinary cytology. This review provides a foundational overview of CV concepts and model architectures and summarizes current research progres... read more 

Artificial Intelligence-Assisted Interpretation of Veterinary Radiographs: Opportunities, Risks, and Best Practices for Clinicians.

The Veterinary clinics of North America. Small animal practice
Artificial intelligence (AI) serves as a decision support tool, not a replacement for clinical judgment, when used to interpret radiological images. Veterinarians retain full professional accountability for all diagnoses and treatment decisions, rega... read more 

Data-quality-guided AI strategies for natural product drug discovery.

Trends in pharmacological sciences
The component specification problem-the mismatch between bioactivity observed in chemically unresolved extracts and the constituent-level chemical definition required for reliable artificial intelligence (AI) inference-remains a key bottleneck in com... read more 

Exploring Dysphonic Artificial Intelligence Voice Cloning for Speech Intelligibility in Noise.

Journal of voice : official journal of the Voice Foundation
BACKGROUND: Voice cloning technologies powered by artificial intelligence (AI) may provide new opportunities to study the perceptual effects of dysphonia, particularly in rare voice disorders where clinical data are scarce. This study examined whethe... read more 

Explainable machine learning incorporating CHI3L1 enhances liver fibrosis staging in chronic hepatitis B: The CHILI multicenter study.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
BACKGROUND: Identifying significant liver fibrosis (≥F2) is critical for initiating antiviral therapy in chronic hepatitis B (CHB). Chitinase-3-like protein 1 (CHI3L1) is a promising fibrosis biomarker, but its staging value remains unclear. We evalu... read more 

Predicting spontaneous preterm birth using machine learning algorithms.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
STUDY DESIGN: This prospective cohort study included pregnant women from a tertiary hospital in Kunming between 2022 and 2023. Demographic characteristics, clinical history, and cervical elastography parameters were analyzed. Four machine learning (M... read more