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Generalizability and portability of natural language processing system to extract individual social risk factors.

International journal of medical informatics
OBJECTIVE: The objective of this study is to validate and report on portability and generalizability of a Natural Language Processing (NLP) method to extract individual social factors from clinical notes, which was originally developed at a different...

Federated AI, Current State, and Future Potential.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Artificial intelligence and machine learning applications are becoming increasingly popular in health care and medical devices. The development of accurate machine learning algorithms requires large quantities of good and diverse data. This poses a c...

ChatGPT and conversational artificial intelligence: Friend, foe, or future of research?

The American journal of emergency medicine
Artificial intelligence (AI) and machine learning are increasingly utilized across healthcare. More recently, there has been a rise in the use AI within research, particularly through novel conversational AI platforms, such as ChatGPT. In this Contro...

Show Your Work: Responsible Model Reporting in Health Care Artificial Intelligence.

The Surgical clinics of North America
Standardized and thorough model reporting is an integral component in the development and deployment of machine learning models in health care. Model reporting includes sharing multiple model performance metrics and incorporating metadata to provide ...

Collaborative training of medical artificial intelligence models with non-uniform labels.

Scientific reports
Due to the rapid advancements in recent years, medical image analysis is largely dominated by deep learning (DL). However, building powerful and robust DL models requires training with large multi-party datasets. While multiple stakeholders have prov...

Open Data and transparency in artificial intelligence and machine learning: A new era of research.

F1000Research
Artificial Intelligence (AI) and machine learning are the current forefront of computer science and technology. AI and related sub-disciplines, including machine learning, are essential technologies which have enabled the widespread use of technolog...

Visual Diagnostics of Dental Caries through Deep Learning of Non-Standardised Photographs Using a Hybrid YOLO Ensemble and Transfer Learning Model.

International journal of environmental research and public health
BACKGROUND: Access to oral healthcare is not uniform globally, particularly in rural areas with limited resources, which limits the potential of automated diagnostics and advanced tele-dentistry applications. The use of digital caries detection and p...

ChatGPT: Is this version good for healthcare and research?

Diabetes & metabolic syndrome
BACKGROUND AND AIMS: There have been advancements in artificial intelligence (AI) and deep learning in the past decade. Recently, OpenAI Inc. has launched a new chatbot, called ChatGPT that interacts in a conversational way and its dialogue format ma...

Evolution of Hybrid Intelligence and Its Application in Evidence-Based Medicine: A Review.

Medical science monitor : international medical journal of experimental and clinical research
Modern medicine, both in clinical practice and research, has become more and more based on data, which is changing equally in type and quality with the advent and development of healthcare digitalization. The first part of the present paper aims to p...

Artificial Intelligence Functionalities During the COVID-19 Pandemic.

Disaster medicine and public health preparedness
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led us to use virtual solutions and emerging technologies such as artificial intelligence (AI). Recent studies have clearly demonstrated the role of AI in health care and medical practi...