AI Medical Compendium

Extracting common processes across psychotherapies through AI.

L'Encephale Apr 7, 2026

INTRODUCTION: Psychological treatments are effective in addressing mental disorders. However, they often remain confined within two primary limitations: diagnostic categories and theoretical frameworks. This study aimed to investigate how artificial ... read more

irAE-GPT: leveraging large language models to identify immune-related adverse events in electronic health records and clinical trial datasets.

EBioMedicine Apr 7, 2026

BACKGROUND: Large language models (LLMs) have emerged as transformative technologies, revolutionising natural language understanding and generation across various domains, including medicine. In this study, we investigated the capabilities, limitatio... read more

Harnessing diverse tRNAs and AI-guided mining for compact and efficient plant multiplex genome editing.

Trends in biotechnology Apr 7, 2026

The widespread use of CRISPR-Cas9 (Clustered regularly interspaced short palindromic repeats-CRISPR-associated protein 9) in plants highlights the need for compact and efficient multiplexed genome editing systems. This study optimizes single-guide RN... read more

Automated Detection of Pediatric Slipped Capital Femoral Epiphysis: A Deep Learning Approach Using Anatomically Informed Attention Guidance.

Journal of pediatric orthopedics Apr 7, 2026

BACKGROUND: Slipped capital femoral epiphysis (SCFE) is an adolescent hip disorder that is often missed on initial presentation due to subtle radiographic findings, leading to significant complications. Traditional diagnostic methods like Klein's lin... read more

Carotid Imaging: Current Concepts and Advanced Imaging.

Seminars in neurology Apr 7, 2026

Carotid atherosclerosis is a major cause of ischemic stroke, historically managed according to luminal stenosis severity. However, stenosis alone fails to capture plaque biology, as features such as intraplaque hemorrhage (IPH), lipid-rich necrotic c... read more

The Role of Large Language Models in Teaching Psychiatric Semiology: A Systematic Review.

Trends in psychiatry and psychotherapy Apr 7, 2026

INTRODUCTION: Teaching psychiatric semiology faces challenges such as the limited availability of real patients for educational purposes and a shortage of specialized instructors. This systematic review investigated the applications of Large Language... read more

A double-blind, crossover, non-inferiority randomised controlled trial where primary care providers and patients compare human-generated and AI-generated digital health messages: the AI-CARE study protocol.

BMJ open Apr 7, 2026

INTRODUCTION: Primary care is facing multiple crises, including an increase in health misinformation. Digital health messaging by primary care providers has been shown to reach a diverse patient population. With the uptake of Generative Artificial In... read more

Publicly available multimodal large language models for ocular surface infections: benchmarking against corneal specialists in triage, diagnosis and treatment.

The British journal of ophthalmology Apr 7, 2026

BACKGROUND/AIMS: Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow or insensitive microbiological techniques. Artificial intelligence may complement emerging molecular tools by supporting rapi... read more

Pushing the limits of fluorescence imaging with a restoration neural network aggregating large-view statistics.

Nature communications Apr 7, 2026

Deep learning has demonstrated remarkable success in augmenting fluorescence imaging under photon-limited conditions. However, existing restoration networks are typically devised for training with augmented patches far smaller than the full-view raw ... read more

A novel intrusion detection framework using hybrid deep learning to detect IIoT cloud environments attacks.

Scientific reports Apr 7, 2026

Artificial Intelligence Medical Compendium