Medical Metaverse, Part 2: Artificial Intelligence Algorithms and Large Language Models in Psychiatry and Clinical Neurosciences

Development and evaluation of a risk algorithm predicting alcohol dependence after early onset of regular alcohol use

(2023) Chrianna Bharat et al.   ADDICTION

The Medical Metaverse, Part 1: Introduction, Definitions, and New Horizons for Neuropsychiatry

(2023) Wilfredo López-Ojeda et al.   JOURNAL OF NEUROPSYCHIATRY AND CLINICAL NEUROSCIENCES

ChatGPT and the Future of Medical Writing

(2023) Som Biswas   RADIOLOGY

MHA: a multimodal hierarchical attention model for depression detection in social media

(2023) Zepeng Li et al.   Health Information Science and Systems

Editorial: Generative Artificial Intelligence as a Plagiarism Problem

(2023) Joseph Dien   BIOLOGICAL PSYCHOLOGY

Intelligence or artificial intelligence? More hard problems for authors of Biological Psychology, the neurosciences, and everyone else

(2023) Thomas Ritz   BIOLOGICAL PSYCHOLOGY

Are AI language models such as ChatGPT ready to improve the care of individuals with epilepsy?

(2023) Christian M. Boßelmann et al.   EPILEPSIA

Providing Self-Led Mental Health Support Through an Artificial Intelligence–Powered Chat Bot (Leora) to Meet the Demand of Mental Health Care

(2023) Emma L van der Schyff et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Utilizing machine learning and lipidomics to distinguish primary lateral sclerosis from amyotrophic lateral sclerosis

(2023) Ikjae Lee et al.   MUSCLE & NERVE

Estimating explainable Alzheimer’s disease likelihood map via clinically-guided prototype learning

(2023) Ahmad Wisnu Mulyadi et al.   NEUROIMAGE

Deep learning regressor model based on nigrosome MRI in Parkinson syndrome effectively predicts striatal dopamine transporter-SPECT uptake

(2023) Yun Jung Bae et al.   NEURORADIOLOGY

AI-Based Decision Support System for Traumatic Brain Injury: A Survey

(2023) Flora Rajaei et al.   Diagnostics

Implications of Artificial Intelligence Algorithms in the Diagnosis and Treatment of Motor Neuron Diseases—A Review

(2023) Diego Lopez-Bernal et al.   Life-Basel

The future of medical education and research: Is ChatGPT a blessing or blight in disguise?

(2023) Taha Bin Arif et al.   Medical Education Online

Using the Pan American Health Organization Digital Conversational Agent to Educate the Public on Alcohol Use and Health: Preliminary Analysis

(2023) Maristela Goldnadel Monteiro et al.   JMIR Formative Research

ChatGPT in Clinical Toxicology

(2023) Mary Sabry Abdel-Messih et al.   JMIR Medical Education

The Role of ChatGPT, Generative Language Models, and Artificial Intelligence in Medical Education: A Conversation With ChatGPT and a Call for Papers

(2023) Gunther Eysenbach   JMIR Medical Education

How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment

(2023) Aidan Gilson et al.   JMIR Medical Education

AI chatbots not yet ready for clinical use

(2023) Joshua Au Yeung et al.   Frontiers in Digital Health

Evaluating the limits of AI in medical specialisation: ChatGPT’s performance on the UK Neurology Specialty Certificate Examination

(2023) Panagiotis Giannos   BMJ Neurology Open

Identification of major depression patients using machine learning models based on heart rate variability during sleep stages for pre-hospital screening

(2023) Duyan Geng et al.   COMPUTERS IN BIOLOGY AND MEDICINE

ChatGPT: Jack of all trades, master of none

(2023) Jan Kocoń et al.   Information Fusion

Artificial intelligence and suicide prevention: a systematic review

(2022) Alban Lejeune et al.   EUROPEAN PSYCHIATRY

Artificial intelligence and Psychiatry: An overview

(2022) Adwitiya Ray et al.   Asian Journal of Psychiatry

Diagnosis of Parkinson syndrome and Lewy-body disease using 123I-ioflupane images and a model with image features based on machine learning

(2022) Kenichi Nakajima et al.   ANNALS OF NUCLEAR MEDICINE

Developing Role for Artificial Intelligence in Drug Discovery in Drug Design, Development, and Safety Assessment

(2022) Alexander K. Hurben et al.   CHEMICAL RESEARCH IN TOXICOLOGY

Development of a natural language processing algorithm to extract seizure types and frequencies from the electronic health record

(2022) Barbara M. Decker et al.   SEIZURE-EUROPEAN JOURNAL OF EPILEPSY

Audio-based Deep Learning Algorithm to Identify Alcohol Inebriation (ADLAIA)

(2022) A.B.R.A.H.A.M.A.L.B.E.R.T. BONELA et al.   ALCOHOL

Artificial Intelligence and the Future of Psychiatry

(2020) Summer Allen   IEEE Pulse

Digital pathology and artificial intelligence

(2019) Muhammad Khalid Khan Niazi et al.   LANCET ONCOLOGY

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data

(2019) Hongming Li et al.   Alzheimers & Dementia

Motor Neuron Susceptibility in ALS/FTD

(2019) Audrey M. G. Ragagnin et al.   Frontiers in Neuroscience

Analysis of substance use and its outcomes by machine learning: II. Derivation and prediction of the trajectory of substance use severity

(2019) Ziheng Hu et al.   DRUG AND ALCOHOL DEPENDENCE

Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder

(2019) Yankang Jing et al.   DRUG AND ALCOHOL DEPENDENCE

Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery

(2019) Benjamin D. Wissel et al.   EPILEPSIA

Machine Learning Approaches for Clinical Psychology and Psychiatry

(2018) Dominic B. Dwyer et al.   Annual Review of Clinical Psychology

Digital Phenotyping

(2017) Thomas R. Insel   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Building better biomarkers: brain models in translational neuroimaging

(2017) Choong-Wan Woo et al.   NATURE NEUROSCIENCE