AIMC Topic: Artificial Intelligence

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Artificial intelligence and the future of patient-centered outcomes.

Journal of patient-reported outcomes
BACKGROUND: Terheyden et al. recently described a compelling vision for large language model-enabled patient-reported outcome measures (LLM-PROMs).

The Cost-Effectiveness of AI-Assisted Colonoscopy as a Primary or Secondary Screening Test in a Population-Based Colorectal Cancer Screening Program: Markov Modeling-Based Cost Effectiveness Analysis.

Journal of medical Internet research
BACKGROUND: Colorectal cancer (CRC) is the third most common cancer worldwide and poses a heavy burden on health care systems. Early screening for CRC through colonoscopy can effectively reduce both the incidence and mortality associated with CRC. Ho...

Artificial intelligence as a predictive tool for mental health status: Insights from a systematic review and meta-analysis.

PloS one
This systematic review and meta-analysis evaluates the effectiveness of AI-driven tools, particularly conversational agents (CAs), in alleviating psychological distress and improving mental health outcomes. The focus is on their impact across diverse...

Computational pathology in precision oncology: Evolution from task-specific models to foundation models.

Chinese medical journal
With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has signific...

Integrative Omics and AI-Driven Systems Biology: Multilayer Networks Decoding Health and Resilience.

Journal of proteome research
Honey bees () are vital pollinators essential for maintaining ecosystem stability and global food production, but they face escalating threats from pathogens, agrochemicals, and climate change. Although proteomics has advanced our understanding of be...

Interpretating SPR-Derived Reaction Kinetics via Self-Organizing Maps for Diagnostic Applications.

ACS sensors
Biosensors emerge as promising, cost-effective infectious disease diagnostics in resource-limited settings, requiring neither laboratory infrastructure nor specialized personnel. Surface plasmon resonance (SPR)-based biosensors remain preeminent for ...

Programmable Biointerfaces and Adaptive Functionality in Next-Generation Green Nanomaterials.

ACS synthetic biology
Recent advances in green nanomaterials have primarily focused on mitigating toxicity through passive approaches, yet emerging technologies suggest a transformative paradigm shift toward programmable nanomaterials with dynamic biointerfaces. This Revi...

Artificial intelligence-generated informed patient consent in various ophthalmological procedures: A comparative study of correctness, completeness, readability, and real-word application between Deepseek and Chatgpt 4o.

Indian journal of ophthalmology
PURPOSE: To study the correctness, completeness, language and readability, and real-world applicability of artificial intelligence chatbots-generated informed consent forms for various ophthalmological procedures and interventions.

FDA to Use AI in Drug and Device Reviews.

The American journal of nursing
The technology could also aid in monitoring adverse effects.

Fostering trust and interpretability: integrating explainable AI (XAI) with machine learning for enhanced disease prediction and decision transparency.

Diagnostic pathology
Medical healthcare has advanced substantially due to advancements in Artificial Intelligence (AI) techniques for early disease detection alongside support for clinical decisions. However, a gap exists in widespread adoption of results of these algori...