Tech & Innovation
Meta-Analysis: Effectiveness of therapist-guided remote vs. in-person cognitive behavioral therapy
20 Mar, 2024 | 19:32h | UTCStudy Design and Population: This systematic review and meta-analysis investigated the efficacy of therapist-guided remote cognitive behavioral therapy (CBT) compared to traditional in-person CBT. The authors conducted a comprehensive search across several databases, including MEDLINE, Embase, PsycINFO, CINAHL, and the Cochrane Central Register of Controlled Trials, up to July 4, 2023. A total of 54 randomized controlled trials (RCTs) were included, encompassing 5463 adult patients presenting with various clinical conditions. The study meticulously assessed the risk of bias and extracted data using a standardized approach, and outcomes were analyzed using a random-effects model.
Main Findings: The primary analysis focused on patient-important outcomes, comparing the effectiveness of remote and in-person CBT across diverse conditions such as anxiety and related disorders, depressive symptoms, insomnia, chronic pain or fatigue syndromes, body image or eating disorders, tinnitus, alcohol use disorder, and mood and anxiety disorders. The meta-analysis, based on moderate-certainty evidence, found little to no difference in effectiveness between remote and in-person CBT (standardized mean difference [SMD] −0.02, 95% confidence interval −0.12 to 0.07), suggesting that both delivery methods are comparably effective across a range of disorders.
Implications for Practice: The findings indicate that therapist-guided remote CBT is nearly as effective as in-person CBT for treating a variety of mental health and somatic disorders. This supports the potential for remote CBT to significantly increase access to evidence-based care, especially in settings where in-person therapy is not feasible or is limited by geographic, economic, or social barriers. Future research should explore optimizing remote CBT delivery methods to further enhance accessibility and efficacy.
Reference: Zandieh, S. et al (2024). Therapist-guided remote versus in-person cognitive behavioural therapy: a systematic review and meta-analysis of randomized controlled trials. CMAJ, 196(10), E327-E340. [Link]
AI-Powered GPTs for Doctors: Evidence-Based Medicine & Clinical Decision Support Prompts
17 Dec, 2023 | 18:39h | UTCWelcome to IntelliDoctor’s innovative collection of AI-Powered GPT Prompts, specifically designed for doctors seeking to enhance their clinical practice with evidence-based information. Utilizing the latest Natural Language Processing (NLP) technology, our prompts provide decisive support in various aspects of medicine, from identifying drug interactions to differential diagnoses, treatments, and more. Each prompt has been meticulously developed to provide accurate and up-to-date information, assisting healthcare professionals in quickly accessing crucial data for patient care decision-making. Important: access to these specialized prompts requires a GPT-4 subscription. With our tool, doctors can easily obtain relevant clinical insights, optimizing time and improving the quality of medical care. Explore our 6 specialized prompts and discover how artificial intelligence can transform your medical practice.
Disclaimer: These tools are intended for use by doctors and healthcare professionals only, and are not recommended for use by other individuals. GPT models can make errors, so please use them with extreme caution and always verify the information before applying it to patient care.
- All Purpose: Comprehensive solutions for general medical inquiries.
- Medications: Detailed information on various medications.
- Interactions: Analysis of potential drug interactions.
- Diseases: Information on a wide range of diseases.
- Signs and Symptoms: Assistance in interpreting clinical signs and symptoms.
- Differential Diagnosis: A tool to aid in differential diagnosis.
Perspective | AI predicted to play major role in cardiac CT and CV care in the coming decade
11 Aug, 2023 | 15:30h | UTCAI Predicted to Play Major Role in Cardiac CT and CV Care in the Coming Decade – TCTMD
Perspective | Creation and adoption of large language models in medicine
9 Aug, 2023 | 15:38h | UTCCreation and Adoption of Large Language Models in Medicine – JAMA (free for a limited period)
Commentary: Rethinking large language models in medicine – Stanford Medicine
Perspective | An AI-enhanced electronic health record could boost primary care productivity
9 Aug, 2023 | 15:36h | UTCAn AI-Enhanced Electronic Health Record Could Boost Primary Care Productivity – JAMA (free for a limited period)
Perspective | Large language models answer medical questions accurately, but can’t match clinicians’ knowledge
9 Aug, 2023 | 15:35h | UTCLarge Language Models Answer Medical Questions Accurately, but Can’t Match Clinicians’ Knowledge – JAMA (free for a limited period)
Perspective | Artificial-intelligence search engines wrangle academic literature
9 Aug, 2023 | 15:33h | UTCArtificial-intelligence search engines wrangle academic literature – Nature
Research Letter | GPT-3.5 and GPT-4 show low accuracy in citing journal articles
9 Aug, 2023 | 15:31h | UTCAccuracy of Chatbots in Citing Journal Articles – JAMA Network Open
Commentary on Twitter
21% of medical journal articles cited by GPT-4 were found to be fake; GPT-3.5 cited an estimated 98% fake articles. Narrower topics had more fake articles than broader topics. Despite its promise, ChatGPT is currently not a reliable source of medical data. https://t.co/DCTIkT1OkZ
— JAMA Network Open (@JAMANetworkOpen) August 9, 2023
Consensus Paper | Surgical video data use, structure, and exploration (for research in AI, quality improvement, and education)
9 Aug, 2023 | 15:20h | UTC
Review | Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician
9 Aug, 2023 | 15:18h | UTC
M-A | eHealth interventions aid in smoking cessation; effect diminishes over time
9 Aug, 2023 | 15:14h | UTC
RCT | Mammography screening with AI reduces workload by 44.3% without loss in detection efficacy
4 Aug, 2023 | 12:13h | UTCArtificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study – The Lancet Oncology (link to abstract – $ for full-text)
News Release: First randomized trial finds AI-supported mammography screening is safe and almost halves radiologist workload – Lancet
Commentaries:
Large Mammography Study Shows Significant Benefits with AI-Aided Screening – Diagnostic Imaging
Study | AI use in lung cancer screening enhances prediction of lung cancer death, CVD death, and all-cause death
1 Aug, 2023 | 14:31h | UTCAI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection – Radiology (free for a limited period)
Commentary: Study: AI Assessment of Chest CT May Predict Multiple Mortality Risks – Diagnostic Imaging
JAMA guidance for authors, peer reviewers, and editors on use of AI, language models, and chatbots
28 Jul, 2023 | 14:18h | UTCGuidance for Authors, Peer Reviewers, and Editors on Use of AI, Language Models, and Chatbots – JAMA
See also, just published: New recommendations of the International Committee of Medical Journal Editors: use of artificial intelligence – European Heart Journal
Related
ChatGPT et al? Not So Fast, Say Journal Editors – TCTMD
Chat GPT will change Medicine – Vinay Prasad’s Observations and Thoughts
Can artificial intelligence help for scientific writing? – Critical Care
Artificial intelligence in academic writing: a paradigm-shifting technological advance
Perspective | Generating scholarly content with ChatGPT: ethical challenges for medical publishing
ChatGPT and the future of medical writing (ChatGPT itself wrote this paper)
ChatGPT is fun, but not an author – Science
Tools such as ChatGPT threaten transparent science; here are our ground rules for their use – Nature
ChatGPT listed as author on research papers: many scientists disapprove – Nature
Abstracts written by ChatGPT fool scientists
Study | New deep learning model effectively detects type 2 diabetes from chest X-rays
28 Jul, 2023 | 14:15h | UTC
Commentary on Twitter
"Your Chest-ray indicates you may have diabetes"https://t.co/1TEHWvG33D
The latest unexpected outgrowth of deep learning #AI @NatureComms @AyisPyrros and colleagues pic.twitter.com/wZcTT2GCy2— Eric Topol (@EricTopol) July 11, 2023
Systematic Review | Moderate evidence supports interactive mobile phone interventions for contraception use enhancement
25 Jul, 2023 | 13:25h | UTCMobile phone‐based interventions for improving contraception use – Cochrane Library
Perspective | Digital health for aging populations
24 Jul, 2023 | 13:13h | UTCDigital health for aging populations – Nature Medicine (if the link is paywalled, try this one)
RCT | Online emotion regulation therapy yields significant reduction in adolescent self-injury
24 Jul, 2023 | 12:39h | UTCSee also: Visual Abstract
News Release: Internet-based therapy effective against self-harm in adolescents – Karolinska Institutes
Study | Large language models show potential for medical question answering capabilities
20 Jul, 2023 | 11:12h | UTCLarge language models encode clinical knowledge – Nature
News Release: Benchmarking AI’s ability to answer medical questions – Nature Publishing Group
Self-measured blood pressure telemonitoring programs: a pragmatic how-to guide
19 Jul, 2023 | 14:33h | UTC
Survey Study | ChatGPT’s performance in simulated patient-provider interactions
19 Jul, 2023 | 14:28h | UTCPutting ChatGPT’s Medical Advice to the (Turing) Test: Survey Study – JMIR Medical Education
Related: ChatGPT’s responses to patient questions rated higher for quality and empathy than physicians
Cohort Study | Applying machine learning to ECG may improve identification of occlusion MI in individuals with chest pain
18 Jul, 2023 | 13:32h | UTCNews Release: New AI tool beats standard approaches for detecting heart attacks – University of Pittsburgh
Review | Human-centered visualization technologies for patient monitoring are the future
11 Jul, 2023 | 13:34h | UTC
RCT | Personalized eHealth program hastens return to normal activity post major abdominal surgery
7 Jul, 2023 | 16:20h | UTCInvited Commentary: Individualising the recovery process through eHealth – The Lancet Digital Health
The future of artificial intelligence in intensive care: moving from predictive to actionable AI
21 Jun, 2023 | 13:24h | UTC