<prompt> Hlalosa likarolo tsa tsamaiso ea morao-rao ea bohlale ba maiketsetso e sebelisetsoang tlhahlobo ea bongaka.nan  <response>: Instruction in English: Describe the features of a state-of-the-art artificial intelligence system used for medical diagnosis. . Response in English: A state-of-the-art artificial intelligence AI system used for medical diagnosis can have several advanced features, including the following:1. High Accuracy: With advanced machine learning algorithms, the system can accurately diagnose diseases by identifying patterns from large volumes of medical data.2. Deep Learning: The AI system can employ deep learning techniques to analyze medical images, such as MRI and CT scans, to identify abnormalities that may not be visible to the human eye.3. Natural Language Processing: The system can use natural language processing to understand and analyze patient data, including electronic health records, and extract relevant information for diagnosis.4. Predictive Analytics: The system can use predictive analytics to provide risk assessments for various medical conditions, by analyzing a patients medical history and demographic data.5. Personalization: The AI system can personalize its diagnosis and recommendations based on the patients unique medical history, genetic information, and lifestyle factors.6. Interactive and User-friendly Interface: The system can have a user-friendly interface that allows doctors and patients to interact with it easily, ask questions, and receive answers in a conversational manner.7. Integration with Wearables and IoT Devices: The AI system can integrate with wearable devices and other IoT devices to continuously monitor patient health and provide real-time diagnosis.8. Continuous Learning: The system can learn from new medical research and data to continuously improve its diagnostic capabilities, accuracy, and efficiency. . Response in Sesotho: Sistimi ea morao-rao ea bohlale ba maiketsetso AI e sebelisetsoang tlhahlobo ea bongaka e ka ba le likarolo tse maloa tse tsoetseng pele, ho kenyelletsa le tse latelang: 1. Ho nepahala ho Phahameng: Ka mekhoa e tsoetseng pele ea ho ithuta ka mochine, tsamaiso e ka hlahloba mafu ka nepo ka ho khetholla mekhoa ho tloha ho tse kholo. bongata ba data ea bongaka. 2. Thuto e Tebileng: Tsamaiso ea AI e ka sebelisa mekhoa e tebileng ea ho ithuta ho hlahloba litšoantšo tsa bongaka, tse kang MRI le CT scans, ho khetholla lintho tse sa tloaelehang tse ka nang tsa se ke tsa bonahala mahlong a motho. 3. Tsebetso ea Puo ea Tlhaho: Tsamaiso e ka sebelisa tsebetso ea puo ea tlhaho ho utloisisa le ho hlahloba lintlha tsa mokuli, ho kenyelletsa le litlaleho tsa bophelo bo botle ba elektronike, le ho ntša boitsebiso bo nepahetseng bakeng sa ho hlahlojoa. 4. Predictive Analytics: Sistimi e ka sebelisa li-analytics tse boletsoeng esale pele ho fana ka litekanyetso tsa kotsi bakeng sa maemo a fapaneng a bongaka, ka ho hlahloba nalane ea bongaka ea mokuli le lintlha tsa palo ea batho. 5. Boikemisetso: Sistimi ea AI e ka iketsetsa tlhahlobo ea eona le likhothaletso tse ipapisitseng le nalane e ikhethang ea bongaka ea mokuli, tlhaiso-leseling ea liphatsa tsa lefutso le mekhoa ea bophelo. 6. Interface e sebetsang le e bonolo ho mosebedisi: Sistimi e ka ba le sebopeho se bonolo sa basebelisi se lumellang lingaka le bakuli ho sebelisana le eona habonolo, ho botsa lipotso, le ho fumana likarabo ka mokhoa oa moqoqo. 7. Ho kopanngoa le Lisebelisoa le Lisebelisoa tsa IoT: Tsamaiso ea AI e ka kopanya le lisebelisoa tse apereng le lisebelisoa tse ling tsa IoT ho tsoela pele ho hlahloba bophelo ba mokuli le ho fana ka tlhahlobo ea nako ea sebele. 8. Thuto e Tsoelang Pele: Tsamaiso e ka ithuta ho tsoa lipatlisisong tse ncha tsa bongaka le data ho tsoela pele ho ntlafatsa bokhoni ba eona ba ho hlahloba, ho nepahala le ho sebetsa hantle. 