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Automatic selection of spoken language biomarkers for dementia detection.

Neural networks : the official journal of the International Neural Network Society
This paper analyzes diverse features extracted from spoken language to select the most discriminative ones for dementia detection. We present a two-step feature selection (FS) approach: Step 1 utilizes filter methods to pre-screen features, and Step ...

Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network.

BMC medical informatics and decision making
BACKGROUND: Important clinical information of patients is present in unstructured free-text fields of Electronic Health Records (EHRs). While this information can be extracted using clinical Natural Language Processing (cNLP), the recognition of nega...

Using artificial intelligence to assess personal qualities in college admissions.

Science advances
Personal qualities like prosocial purpose and leadership predict important life outcomes, including college success. Unfortunately, the holistic assessment of personal qualities in college admissions is opaque and resource intensive. Can artificial i...

Quantum computing and machine learning for Arabic language sentiment classification in social media.

Scientific reports
With the increasing amount of digital data generated by Arabic speakers, the need for effective and efficient document classification techniques is more important than ever. In recent years, both quantum computing and machine learning have shown grea...

Speech and language processing with deep learning for dementia diagnosis: A systematic review.

Psychiatry research
Dementia is a progressive neurodegenerative disease that burdens the person living with the disease, their families, and medical and social services. Timely diagnosis of dementia could be followed by introducing interventions that may slow down its p...

Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial.

Journal of medical Internet research
Prompt engineering is a relatively new field of research that refers to the practice of designing, refining, and implementing prompts or instructions that guide the output of large language models (LLMs) to help in various tasks. With the emergence o...

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions.

Diagnostic and interventional radiology (Ankara, Turkey)
With the advent of large language models (LLMs), the artificial intelligence revolution in medicine and radiology is now more tangible than ever. Every day, an increasingly large number of articles are published that utilize LLMs in radiology. To ado...

Enhancing clinical reasoning with Chat Generative Pre-trained Transformer: a practical guide.

Diagnosis (Berlin, Germany)
OBJECTIVES: This study aimed to elucidate effective methodologies for utilizing the generative artificial intelligence (AI) system, namely the Chat Generative Pre-trained Transformer (ChatGPT), in improving clinical reasoning abilities among clinicia...

Letter to the Editor: Performance of ChatGPT in French language Parcours d'Accès Spécifique Santé test and in OBGYN.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics