AI Medical Compendium Topic

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

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CheXNet and feature pyramid network: a fusion deep learning architecture for multilabel chest X-Ray clinical diagnoses classification.

The international journal of cardiovascular imaging
The existing multilabel X-Ray image learning tasks generally contain much information on pathology co-occurrence and interdependency, which is very important for clinical diagnosis. However, the challenging part of this subject is to accurately diagn...

Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A Survey.

Yearbook of medical informatics
OBJECTIVES: This survey aims to provide an overview of the current state of biomedical and clinical Natural Language Processing (NLP) research and practice in Languages other than English (LoE). We pay special attention to data resources, language mo...

Machine learning for layer-by-layer nanofiltration membrane performance prediction and polymer candidate exploration.

Chemosphere
In this study, machine learning-based models were established for layer-by-layer (LBL) nanofiltration (NF) membrane performance prediction and polymer candidate exploration. Four different models, i.e., linear, random forest (RF), boosted tree (BT), ...

Evidence of Age Estimation Procedures in Forensic Dentistry: Results from an Umbrella Review.

Medicina (Kaunas, Lithuania)
: Age estimation is an important tool when dealing with human remains or undocumented minors. Although the skull, the skeleton or the hand-wrist are used in age estimation as maturity indicators, they often present a lack of good conditions for a cor...

Comprehensive Review of Drug-Drug Interaction Prediction Based on Machine Learning: Current Status, Challenges, and Opportunities.

Journal of chemical information and modeling
Detecting drug-drug interactions (DDIs) is an essential step in drug development and drug administration. Given the shortcomings of current experimental methods, the machine learning (ML) approach has become a reliable alternative, attracting extensi...

Short-term and long-term efficacy in robot-assisted treatment for mid and low rectal cancer: a systematic review and meta-analysis.

International journal of colorectal disease
OBJECTIVE: This study aims to conduct a meta-analysis to evaluate the short-term and long-term therapeutic effects of robot-assisted laparoscopic treatment in patients with mid and low rectal cancer.

Computational approaches for identifying disease-causing mutations in proteins.

Advances in protein chemistry and structural biology
Advancements in genome sequencing have expanded the scope of investigating mutations in proteins across different diseases. Amino acid mutations in a protein alter its structure, stability and function and some of them lead to diseases. Identificatio...

Revolutionizing ocular cancer management: a narrative review on exploring the potential role of ChatGPT.

Frontiers in public health
This paper pioneers the exploration of ocular cancer, and its management with the help of Artificial Intelligence (AI) technology. Existing literature presents a significant increase in new eye cancer cases in 2023, experiencing a higher incidence ra...

Development of a dental digital data set for research in artificial intelligence: the importance of labeling performed by radiologists.

Oral surgery, oral medicine, oral pathology and oral radiology
OBJECTIVE: The aim of this study was to present the development of a database (dataset) of panoramic radiographs.

Exploring the opportunities and challenges of implementing artificial intelligence in healthcare: A systematic literature review.

Urologic oncology
Recent progress in the realm of artificial intelligence has shown effectiveness in various industries, particularly within the healthcare sector. However, there are limited insights on existing studies regarding ethical, social, privacy, and technolo...