Latest AI and machine learning research in clinical trials for healthcare professionals.
Artificial intelligence (AI) is increasingly used in mental health, yet its rehabilitation-oriented applications in schizophrenia have not been systematically mapped. We conducted a systematic scoping review of PubMed, Web of Science, IEEE Xplore and the ACM Digital Library (January 1, 2012-October 31, 2025; two search rounds), applying operationalized rehabilitation boundaries and excluding diagn...
INTRODUCTION: Cancer research has become increasingly data-intensive, with digital pathology, imaging, and genomic sequencing generating vast, heterogeneous datasets. Artificial intelligence (AI) now plays a growing role across the oncology continuum, offering tools to interpret complex data, streamline workflows, and enhance clinical decision-making. In the context of clinical trials, AI is emerg...
Deep brain stimulation (DBS) for treatment-resistant depression (TRD) is challenged by significant individual variability in efficacy and unclear neur...
BACKGROUND & AIMS: Evidence about the effect of artificial intelligence (AI) on upper endoscopy in multicenter, randomized controlled trials is lackin...
BACKGROUND: Epilepsy is a chronic neurological disorder characterized by altered cortical excitability. The disorder is often associated with psycholo...
BACKGROUND: There is an urgent need to evaluate the efficacy of novel therapeutics that have been approved for use in adults with IgA nephropathy (IgA...
INTRODUCTION: Total tumor number (TTN) and total tumor volume (TTV) reflect tumor burden and have been linked to outcomes in metastatic colorectal can...
Monoclonal antibody (mAb)-based therapies have revolutionized modern medicine, offering highly specific and effective treatments for a wide range of d...
The interaction between autophagy and ferroptosis has resulted in the identification of novel approaches for the treatment of lung cancer (LC). The tw...
INTRODUCTION: Emergency department crowding and increasing patient complexity challenge traditional triage models. Artificial intelligence may support...
INTRODUCTION: . Pharmacological treatment is the mainstay in the acute and long-term management of severe mental disorders such as major depressive di...
BACKGROUND: Tobacco use disorder (TUD) remains the leading preventable cause of death globally, yet fewer than one-third of users receive guideline-co...
PURPOSE: Personalized immunotherapy strategies are urgently needed for patients with locoregionally advanced nasopharyngeal carcinoma (NPC). We aim to...
Therapeutic messenger RNAs (mRNAs) offer a versatile platform for treating a wide range of diseases, but their clinical efficacy hinges on optimizing ...
To evaluate the feasibility and application value of a transfer learning-based artificial intelligence (AI) system for wound recognition and suture po...
BACKGROUND: Laparoscopic Cholecystectomy (LC) is the standard surgical treatment for symptomatic benign gallbladder diseases. Bile Duct Injury (BDI) i...
Preimplantation genetic testing (PGT) is a critical tool in reproductive medicine for selecting genetically healthy embryos, thereby reducing the risk...
Recently, claims have emerged that artificial intelligence (AI) is better at providing empathy than humans. These claims are based on experiments in w...
Drug research and development continuously encounters prolonged timelines, escalating costs, and high attrition rates. In this narrative review, we in...
BACKGROUND: Nerve-sparing robot-assisted radical prostatectomy (NS-RARP) requires precise prostatic capsule identification to balance oncological cont...