Latest AI and machine learning research in clinical trials for healthcare professionals.
INTRODUCTION: Large language models (LLMs) are utilized to answer queries in urology and oncology, y...
Immune checkpoint inhibitors have partially improved treatment outcomes for patients with head and n...
OBJECTIVES: To address Croatia's high lung cancer mortality and late-stage diagnoses, the Ministry o...
OBJECTIVE: Primary aim was to investigate the effects of upper extremity robot-assisted training, ap...
BACKGROUND: Laparoscopic cholecystectomy (LC), a common abdominal operation, is associated with sign...
BACKGROUND: Our descriptive study focused on morphologic characteristics of hyperchromatic crowded g...
We report the results of LINUX (NCT05594095), a multicenter, randomized, controlled phase II platfor...
OBJECTIVES: To address the challenge of analyzing large volumes of patient safety event (PSE) report...
PURPOSE: To investigate the natural history of macular tissue preservation in geographic atrophy (GA...
BACKGROUND: Artificial intelligence (AI) technologies hold great promise for improving patient outco...
INTRODUCTION: Psychoeducation is a key intervention in mood disorders. With the rise of artificial i...
As the reliability of nontreponemal tests for evaluating syphilis treatment efficacy is increasingly...
PURPOSE: To evaluate the performance of general-purpose, retrieval-augmented, and medicine-specific ...
OBJECTIVES: Exclusive enteral nutrition (EEN) is a first-line treatment for induction of remission i...
BACKGROUND/AIMS: Early detection and removal of colon polyps are critical for preventing colorectal ...
With the aging population in Europe, particularly Hungary, unhealthy aging is emerging as a growing ...
The growing number of cancer cases and deaths highlights the urgent need for innovative treatment ap...
BACKGROUND: To elucidate the research progress on acupuncture therapy as a complementary and alterna...
INTRODUCTION: The United States Food and Drug Administration (FDA) requires post-marketing surveilla...
OBJECTIVES: The efficacy of an MRI-based deep learning algorithm (DLA) for detecting acute ischemic ...
PURPOSE OF THE REVIEW: With the widespread integration of spinal cord stimulation (SCS) into clinica...