AIMC Topic: Knowledge

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A Novel Deep Learning Model for Medical Report Generation by Inter-Intra Information Calibration.

IEEE journal of biomedical and health informatics
Automatic generation of medical reports can provide diagnostic assistance to doctors and reduce their workload. To improve the quality of the generated medical reports, injecting auxiliary information through knowledge graphs or templates into the mo...

Human-machine cooperation meta-model for clinical diagnosis by adaptation to human expert's diagnostic characteristics.

Scientific reports
Artificial intelligence (AI) using deep learning approaches the capabilities of human experts in medical image diagnosis. However, due to liability issues in medical decisions, AI is often relegated to an assistant role. Based on this responsibility ...

Effects of Motion-Relevant Knowledge From Unlabeled Video to Human-Object Interaction Detection.

IEEE transactions on neural networks and learning systems
The existing works on human-object interaction (HOI) detection usually rely on expensive large-scale labeled image datasets. However, in real scenes, labeled data may be insufficient, and some rare HOI categories have few samples. This poses great ch...

Selective UMLS knowledge infusion for biomedical question answering.

Scientific reports
One of the artificial intelligence applications in the biomedical field is knowledge-intensive question-answering. As domain expertise is particularly crucial in this field, we propose a method for efficiently infusing biomedical knowledge into pretr...

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning.

PLoS computational biology
The ability to acquire abstract knowledge is a hallmark of human intelligence and is believed by many to be one of the core differences between humans and neural network models. Agents can be endowed with an inductive bias towards abstraction through...

DEVO: an ontology to assist with dermoscopic feature standardization.

BMC medical informatics and decision making
BACKGROUND: The utilization of dermoscopic analysis is becoming increasingly critical for diagnosing skin diseases by physicians and even artificial intelligence. With the expansion of dermoscopy, its vocabulary has proliferated, but the rapid evolut...

A visual-language foundation model for pathology image analysis using medical Twitter.

Nature medicine
The lack of annotated publicly available medical images is a major barrier for computational research and education innovations. At the same time, many de-identified images and much knowledge are shared by clinicians on public forums such as medical ...

ChatGPT Performs on the Chinese National Medical Licensing Examination.

Journal of medical systems
ChatGPT, a language model developed by OpenAI, uses a 175 billion parameter Transformer architecture for natural language processing tasks. This study aimed to compare the knowledge and interpretation ability of ChatGPT with those of medical students...

Characterization of Synthetic Health Data Using Rule-Based Artificial Intelligence Models.

IEEE journal of biomedical and health informatics
The aim of this study is to apply and characterize eXplainable AI (XAI) to assess the quality of synthetic health data generated using a data augmentation algorithm. In this exploratory study, several synthetic datasets are generated using various co...

Data-driven decisions about individual patients: The case of medical AI.

Journal of evaluation in clinical practice
There are high hopes that clinical decisions can be improved by adopting algorithms trained to estimate the likelihood that a patient suffers a condition C. Introducing work on the epistemic value of purely statistical evidence in legal epistemology ...