Artificial Intelligence Medical Compendium

BACKGROUND: Artificial intelligence (AI) is increasingly being integrated into health care, offering new possibilities for postoperative management. Large language models (LLMs) like ChatGPT-4 and Claude 3.5 Sonet have demonstrated potential in patie... read more 

The performance of rechargeable batteries is fundamentally influenced by the physicochemical properties and microstructural features of their key material components. Recent experimental advancements have highlighted the potential of single-crystal (... read more 

Peptides are assuming an increasingly critical role in the fields of medicine and cosmetics. Artificial intelligence-assisted drug screening has significantly improved the efficiency and economic feasibility of drug development. Tryptophan and prolin... read more 

OBJECTIVE: To develop and validate a multimodal deep-learning classifier trained on stroboscopic image, voice, and clinicodemographic data, differentiating between three different vocal fold (VF) states: healthy (HVF), unilateral paralysis (UVFP), an... read more 

BACKGROUND: Multi-center imaging studies create large-scale data that are useful for identifying pathological patterns and robust training of deep learning models. However, variation due to site and scanner differences can confound analyses, emphasiz... read more 

Metal-oxide semiconductor (MOS)-based synaptic transistors are promising candidates for highly integrated neuromorphic chips. Ferroelectrics and electrolytes have been extensively studied, but they have not satisfied the scalability and integration o... read more 

Photodynamic therapy (PDT) is an emerging approach for tumor treatment, valued for its noninvasive and stimuli-responsive properties. However, its therapeutic efficacy is often constrained by unintended damage to healthy tissues, largely due to the s... read more 

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With the increasing deployment of intelligent robotics in medical rehabilitation and elderly care, sensing modalities and functionalities eventually become a critical issue in achieving comprehensive awareness regarding operational tasks. Except mult... read more