Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: The utilization of artificial intelligence (AI), such as machine learning, in health care has risen exponentially, underscoring the necessity of transparency and traceability in the reporting of AI in randomized controlled trials (RCTs) that involve AI. In 2020, a CONSORT (Consolidated Standards of Reporting Trials) AI extension was published that included 14 additional items that shou...
BACKGROUND: Cancer remains a leading cause of morbidity worldwide. To reduce this burden, scalable, effective approaches are needed to address modifiable risk factors for cancer and support behavioral self-management. With smartphone ownership now nearly ubiquitous, mobile health (mHealth) interventions offer a powerful means to extend the reach, accessibility, and sustainability of evidence-based...
On November 2025, AAPS PharmSci 360 convened a symposium that included experts in the application of various types of New Approach Methodologies (NAMs...
BACKGROUND: Head and neck cancer (HNC) is a common malignant tumor, and its treatment often leads to functional impairments in speech, swallowing, and...
BACKGROUND: Digital health technologies are fundamentally reshaping healthcare delivery, access, and governance worldwide. While these innovations off...
BACKGROUND: High-quality observation and feedback contribute to the development of clinical competence and professional growth in medical education. F...
The rapid expansion of the industrial chemical space has outpaced regulatory oversight, creating a critical regulatory and environmental blind spot re...
BACKGROUND: International mobility has intensified routine contact between health systems and patients who do not speak the dominant language of care....
OBJECTIVES: Acute traumatic coagulopathy is known to occur early following severe injury. However, the role and impact of both pro- and anti-inflammat...
Nanomedicine-based cancer immunotherapy integrates nanotechnology with immune modulation, representing a promising strategy to improve both the effica...
BACKGROUND: Efficient training of reproductive medicine clinicians is critical in the context of declining global fertility and increasing infertility...
With the growing momentum to integrate artificial intelligence (AI) into education, large language models (LLMs) have shown great potential for Englis...
Artificial intelligence (AI) has progressed from technical research to routine clinical use, reaching an inflection point where technological capabili...
BACKGROUND: Arrhythmia burden in ambulatory patients with symptomatic heart failure (HF) without cardiac implantable electronic devices (CIEDs) is not...
BACKGROUND AND INTRODUCTION: Workplace bullying and incivility have continued to escalate across health care and pose serious risks to workforce well-...
BACKGROUND: Effective communication in metabolic bariatric surgery (MBS) is essential for patient engagement and adherence, yet surgical residents oft...
The post-intervention effects of non-invasive neuromodulation techniques are critical for their translational potential in neurorehabilitation and dep...
BACKGROUND: Effective postoperative communication is vital for patient recovery, yet traditional text-based discharge instructions often lead to poor ...
BACKGROUND: Mis-triage represents a global concern, with reported rates ranging from 15% to 33%. Understanding its causes and contributing factors is ...
BACKGROUND: Cutaneous leishmaniasis (CL) remains a major public health challenge, especially in Brazil's Amazon, where environmental and economic pres...