The novel severe acute respiratory syndrome coronavirus type-2 (SARS-CoV-2) caused a global pandemic that has taken more than 4.5 million lives and severely affected the global economy. To curb the spread of the virus, an accurate, cost-effective, and quick testing for large populations is exceedingly important in order to identify, isolate, and treat infected people. Current testing methods commonly use PCR (Polymerase Chain Reaction) based equipment that have limitations on throughput, cost-effectiveness, and simplicity of procedure which creates a compelling need for developing additional coronavirus disease-2019 (COVID-19) testing mechanisms, that are highly sensitive, rapid, trustworthy, and convenient to use by the public. We propose a COVID-19 testing method using artificial intelligence (AI) techniques on MALDI-ToF (matrix-assisted laser desorption/ionization time-of-flight) data extracted from 152 human gargle samples (60 COVID-19 positive tests and 92 COVID-19 negative tests). Our AI-based approach leverages explainable-AI (X-AI) methods to explain the decision rules behind the predictive algorithm both on a local (per-sample) and global (all-samples) basis to make the AI model more trustworthy. Finally, we evaluated our proposed method using a 70%-30% train-test-split strategy and achieved a training accuracy of 86.79% and a testing accuracy of 91.30%.

翻译：新型的急性急性急性急性急性急性急性呼吸系统 Corona病毒2型(SARS-COV-2)的新型严重急性急性急性急性呼吸综合症 Corona病毒2型(SARS-COV-2)造成了一种全球大流行病,它夺走了450多万人的生命,严重影响了全球经济。为了遏制病毒的传播,对大量人口进行准确、具有成本效益和快速的检测,对于识别、隔离和治疗受感染者来说非常重要。目前测试方法通常使用基于152个人类腐烂样品(60 COVID-19阳性测试和92 COVID-19负性测试)的PCRCR(PL)基设备,这导致迫切需要开发更多的Coronrona病毒2019(COVID-19)检测机制,这种机制高度敏感、快速、可信赖和方便公众使用。我们建议采用CCOVID-19测试方法,使用人工智能技术(AI)来使用人造智能技术(AI-A)来解释预测性精度规则背后的正确性规则,并用一种更可靠的方法来评估当地(RO-BM-LA-LM-C-LA-L-I-CS-LAS-LAS-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-