The field of healthcare and biomedical research is witnessing significant advancements with the integration of artificial intelligence (AI) and machine learning (ML) technologies. Recent developments have focused on improving the management and analysis of large amounts of clinical data, enabling more accurate diagnoses and personalized treatment plans. Notable progress has been made in the development of AI-powered platforms for healthcare data management, such as LizAI XT, which ensures real-time and accurate structuring of clinical datasets. Moreover, benchmarks like DiagnosisArena and R2MED have been introduced to evaluate the diagnostic capabilities of large language models and medical retrieval systems, respectively. These benchmarks highlight the gaps in current models' performance and drive further advancements in AI's diagnostic reasoning capabilities. Particularly noteworthy papers include LizAI XT, which achieves high accuracy in structuring data for various diseases, and DiagnosisArena, which provides a comprehensive benchmark for evaluating diagnostic competence. Additionally, the development of domain-specific language models, such as the Japanese language model for pharmaceutical NLP, demonstrates the feasibility of building practical and secure language models for specific applications.
Advances in AI-Powered Healthcare and Biomedical Research
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LizAI XT -- Artificial Intelligence-Powered Platform for Healthcare Data Management: A Study on Clinical Data Mega-Structure, Semantic Search, and Insights of Sixteen Diseases
SECRET: Semi-supervised Clinical Trial Document Similarity Search
Disentangling Reasoning and Knowledge in Medical Large Language Models
DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models
R2MED: A Benchmark for Reasoning-Driven Medical Retrieval
Bridge2AI: Building A Cross-disciplinary Curriculum Towards AI-Enhanced Biomedical and Clinical Care
MedBrowseComp: Benchmarking Medical Deep Research and Computer Use
Developing clinical informatics to support direct care and population health management: the VIEWER story
MIRB: Mathematical Information Retrieval Benchmark
TrialPanorama: Database and Benchmark for Systematic Review and Design of Clinical Trials
BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research
Continually Self-Improving Language Models for Bariatric Surgery Question--Answering
A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering
Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences
A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP
MedFrameQA: A Multi-Image Medical VQA Benchmark for Clinical Reasoning