Medicine & AI

Papers and research on “Medicine and AI” from around the world.


| Imaging diagnosis |

This paper shows that AI-based imaging of chest x-rays is more accurate than physicians. view the paper　｜CLICK HERE

This paper shows that AI-assisted dual reading may help improve the accuracy of mammography screening by increasing breast cancer detection rates while maintaining retest rates.｜CLICK HERE

Fine-Tuning on AI-Driven Video Analysis through Machine Learning: Development of an Automated Evaluation Tool of Facial Palsy ｜CLICK HERE

| Streamlining work efficiency |

This paper shows how advanced technology and AI can improve the efficiency of healthcare delivery.　｜CLICK HERE

This paper shows that direct reporting of outpatient ECG recordings to the physician using AI (DeepRhythmAI) significantly reduces the number of missed serious arrhythmias compared to traditional technician analysis.｜CLICK HERE

This paper shows that machine learning models using weather data can predict the number of hospitalizations for acute ischemic stroke and may contribute to hospital management and healthcare delivery efficiency.｜CLICK HERE

| Nursing care |

This cross-sectional study examines the use of artificial intelligence (AI) models to identify locomotive syndrome in elderly patients. Specifically, the study evaluates the effectiveness of AI models and their potential for early detection and prevention of locomotive syndrome.｜CLICK HERE

The paper integrates a wide range of data, including demographics, personal and family medical history, medication use, neuropsychological assessment, functional assessment, and multimodal neuroimaging, and utilizes AI models to identify the causes of dementia and demonstrate a highly accurate classification and diagnosis method.｜CLICK HERE

This paper shows the differences in priority issues among stakeholders regarding the use of AI technology in elderly care.｜CLICK HERE

| Surgical assistance |

This paper shows the potential of using AI to assist in intraoperative recognition of anatomical structures in endoscopic pituitary surgery.｜CLICK HERE

This paper reports on the development and performance evaluation of SAIS (Surgical AI System), an AI system that extracts and analyzes the surgeon's movements from video during surgery.｜CLICK HERE

This paper presents a real-time prediction method for navigation to the cerebrovascular territory via the left common carotid artery utilizing an active guidewire made of shape memory alloy.｜CLICK HERE

| Clinical reasoning |

This paper shows the relationship between decreased emotional expression by speech, which is unique to patients with dementia with Lewy bodies, and brain atrophy, and its usefulness as a differential indicator.｜CLICK HERE

Large-scale language models show potential to improve the accuracy and comprehensiveness of clinicians' differential diagnosis.｜CLICK HERE

This paper shows that the dynamic features of Holter ECGs can be analyzed by AI to feasibly predict risk just before the onset of sustained ventricular tachycardia.｜CLICK HERE

| Genetic diagnosis and personalized medicine |

This paper shows the relationship between decreased emotional expression by speech, which is unique to patients with dementia with Lewy bodies, and brain atrophy, and its usefulness as a differential indicator.｜CLICK HERE

This paper demonstrates the usefulness of an AI system (MUDI) that enables interpretable personalized surgical recommendations while integrating multiple decision-making factors (effectiveness, risk, cost, patient preferences, etc.).｜CLICK HERE

This paper shows the current status and usefulness of AI applications for male infertility.｜CLICK HERE

This paper shows that DeepMosaic can detect mosaic single nucleotide mutations in noncancerous samples with high accuracy and without the need for controls.｜CLICK HERE

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