Medicolegal

[Use of artificial intelligence for next-gen anamnesis and communication in orthopedics & trauma surgery : From chatbots to ambient intelligence].

BACKGROUND: Against the backdrop of increasing patient volumes, rising case complexity, and physicia...

The detectability paradox: bilingual medical report generation with open-weight models and the limits of human oversight.

OBJECTIVES: The automation of medical report generation using large language models (LLMs) could sig...

Impact of a Prototype Combining Recommender Functionality With Structured Documentation on Operator Performance in Calls to Medical Communication Centers: Quasi-Experimental Feasibility Study.

BACKGROUND: Management of contacts to medical communication centers relies heavily on clinical judgm...

Clinical Context Variables Collectively Rival Model Choice in Embedding-Based Retrieval: Multi-Corpus Benchmark Study.

BACKGROUND: Retrieval-augmented generation (RAG) systems increasingly support clinical decision-maki...

Commercial AI for CT lung cancer screening: product capabilities, coverage of nodule management tasks and supporting evidence.

OBJECTIVES: To characterize the capabilities of CE-marked AI products for lung nodule analysis in lu...

Ai-generated personalized informed consent for elective spinal surgery: a comparative study using retrieval-augmented generation.

BACKGROUND: Informed consent (IC) documents in spine surgery frequently lack procedure-specific risk...

Emerging Applications and Key Considerations on the Use of Artificial Intelligence in Forensic Medicine and Pathology.

Artificial intelligence (AI) has rapidly expanded across medicine, demonstrating value in image anal...

The Role of Digital Pathology in Optimizing the Quality and Timeliness of Intraoperative Consultation.

BackgroundIntraoperative consultation using frozen sections has been crucial for guiding surgical de...

Challenges of AI-generated stigmatizing language regarding substance use disorders.

Stigmatizing language describing substance use behaviors in clinical documentation and in patient ed...

Building Toward a Future for Electronic Health Record Systems.

Health information technology tools, including electronic health records, are ubiquitous in healthca...

Self-regulating the use of large language models in clinical practice: a risk-stratified approach.

The rapid integration of large language models (LLMs) into clinical practice offers promising benefi...

Machine learning and response surface methodology for optimization and prediction of tribological performance of PLA/rice husk biochar composites.

The present study investigates the tribological behaviour of polylactic acid (PLA) composites reinfo...

Artificial intelligence in general surgery: A national survey on knowledge, utilization, and future expectations.

Artificial intelligence is rapidly expanding across medical fields, yet its integration into surgica...

The Application of Machine Learning in the Development of Co-Amorphous Dry Powder Inhalation.

Besides improving drug solubility and stability, co-amorphous systems (COAMS) have recently been rep...

Understanding how language barriers in the paediatric emergency care setting influences safety of care delivery: a scoping review.

BACKGROUND: Communication in a family's primary language can support safe care. Vital steps within t...

Generative artificial intelligence in forensic medicine: a pilot study on AI-simulated medico-legal reports in healthcare liability cases.

Artificial Intelligence in Urologic Documentation: A Review of Emerging Capabilities and the Ongoing Need for Human Oversight.

PURPOSE OF REVIEW: Clinical documentation continues to expand in volume and complexity, spanning out...

Synthetic inducible bacteria normalize the microenvironment of refractory tumors, potentiating checkpoint inhibitor responses.

Immunotherapy has transformed cancer treatment but remains ineffective in many solid tumors, largely...

Recent Advances in Generative AI for Healthcare Applications.

Artificial intelligence (AI) has catalyzed revolutionary changes across various sectors, notably in ...

The impact of artificial intelligence scribes on physician and advanced practice provider cognitive load and well-being.

BACKGROUND AND SIGNIFICANCE: Physician and advanced practice provider (APP) well-being is a critical...

Comparing ambient scribes: a randomized crossover clinical trial addressing ambient scribe technologies' impact on physician burnout.

OBJECTIVE: This study aims to compare the effectiveness of 2 ambient AI scribe technologies in reduc...