IntroductionRecent advances in physiology and technology have led to the identification of additional parameters that have the potential to enhance diagnostic accuracy and inform the management of Gastroesophageal reflux disease ( #GERD ). Whilst traditional pH monitoring and acid exposure time (AET) remain central to diagnosis, recent advances have introduced novel physiological markers that improve… Continue reading How to predict abnormal acid reflux: recent developments
Tag: AI
Human-large language model collaboration in clinical medicine: a systematic review and meta-analysis
Human- #AI collaboration (H + AI) using large language models ( #LLMs ) offers a promising approach to enhance clinical reasoning, documentation, and interpretation tasks. Following PRISMA 2020 (PROSPERO registration: CRD420251068272), we systematically compared H + AI with human-only (H) workflows, searching four databases through June 28, 2025. Ten peer-reviewed studies met eligibility criteria, with… Continue reading Human-large language model collaboration in clinical medicine: a systematic review and meta-analysis
Automatic #robotic doppler #sonography of leg #arteries
PurposeRobot-assisted systems offer an opportunity to support the diagnostic and therapeutic treatment of vascular diseases to reduce radiation exposure and support the limited medical staff in vascular medicine. In the diagnosis and follow-up care of vascular pathologies, Doppler ultrasound has become the preferred diagnostic tool. The study presents a robotic system for automatic Doppler ultrasound… Continue reading Automatic #robotic doppler #sonography of leg #arteries
Sociodemographic #biases in medical decision making by large language models
Large language models (LLMs) show promise in healthcare, but concerns remain that they may produce medically unjustified clinical care recommendations reflecting the influence of patients’ sociodemographic characteristics. We evaluated nine LLMs, analyzing over 1.7 million model-generated outputs from 1,000 emergency department cases (500 real and 500 synthetic). Each case was presented in 32 variations (31… Continue reading Sociodemographic #biases in medical decision making by large language models
Deep learning assists detection of #esophageal #cancer and precursor lesions in a prospective, randomized controlled study
Early-stage esophageal cancers show better treatment response but are harder to detect. Li et al. developed a deep learning pipeline to aid clinicians in identifying early-stage, high-risk esophageal lesions and tested it in a randomized clinical trial in patients undergoing endoscopy. Deep learning assistance doubled the detection of high-risk esophageal lesions compared with the unassisted control group.… Continue reading Deep learning assists detection of #esophageal #cancer and precursor lesions in a prospective, randomized controlled study
The AI Revolution in Medicine: GPT-4 and Beyond
The AI Revolution in Medicine: GPT-4 and Beyond by Peter Lee, Carey Goldberg, and Isaac Kohane This book was read for work, so it is clearly not the typical book that is reviewed on this blog. However, for anyone involved in data protection, data privacy, healthcare, clinical research, and/or artificial intelligence this book is a… Continue reading The AI Revolution in Medicine: GPT-4 and Beyond
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