Artificial Intelligence Medical Compendium

Confined spaces in the human body pose substantial challenges for biomedical procedures. Navigating these ultrasmall environments is essential for precise drug delivery, improving treatment outcomes and reducing adverse effects. Microrobots offer a p... read more 

BACKGROUND: Artificial intelligence/machine learning (AI/ML) has revolutionized the health care industry, particularly in the development and use of medical devices. The US Food and Drug Administration (FDA) has authorized over 878 AI/ML-enabled medi... read more 

BACKGROUND: Surgeons often face challenges in distinguishing between benign and malignant follicular thyroid neoplasms (FTNs), particularly small tumors, until diagnostic surgery is performed. read more 

BACKGROUND: Given the challenges faced during percutaneous coronary intervention (PCI) for heavily calcified lesions, accurately predicting PCI success is crucial for enhancing patient outcomes and optimizing procedural strategies. read more 

BACKGROUND: Liver retransplantation (rLT) results have traditionally been inferior compared with those of primary liver transplantation. Understanding the risks and anticipated outcomes is essential for patient counseling and obtaining informed conse... read more 

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BACKGROUND: Large language models (LLMs) can generate outputs understandable by humans, such as answers to medical questions and radiology reports. With the rapid development of LLMs, clinicians face a growing challenge in determining the most suitab... read more 

Lactate dehydrogenase A (LDHA) is a promising target for cancer therapy due to its crucial role in aerobic glycolysis. Despite extensive efforts, the structural diversity of LDHA inhibitors remains limited. Here, we utilized machine learning techniqu... read more 

The Biden administration requested comments regarding "Public and Private Sector Uses of Biometric Technologies" in the Federal Register from October 2021 to January 2022. This generated 130 responses, helped shape the "Blueprint for an AI Bill of Ri... read more 

The increasing global population, coupled with the diminishing availability of arable land, has rendered the challenge of ensuring food security more pronounced. The prompt and precise identification of plant diseases is essential for reducing crop l... read more