Uhlolojikelele
I-AI ihlela kabusha ukuthi imithi emisha ihlolwa kanjani - ithola iziguli ezifanele ngokushesha, ibikezela ukuthi yiziphi izivivinyo ezizophumelela, futhi ibambe izimpawu zokuphepha ngokushesha. Iqondise eyodwa yezingqinamba ezinkulu kakhulu zomuthi: ukuhlola kuhamba kancane, kuyabiza, futhi kuvame ukuhluleka.
I-AI Ezivivinyweni Zomtholampilo isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kubumbe kakhulu ukukhetha kokuklama.
I-Deep Dive
Ukuletha umuthi emakethe kungathatha iminyaka engaphezu kweshumi futhi kubize izigidigidi, futhi izinhlolo eziningi zihluleka ngokwengxenye ngenxa yokungaqashwa kahle kweziguli kanye nokuklama. I-AI ihlasela la maphuzu ezinhlungu. Amasistimu e-NLP afunda amarekhodi ezempilo e-elekthronikhi ukuze ahambisane nemibandela yokufaneleka yokuhlolwa ngokushesha kakhulu kunokubuyekezwa kweshadi okwenziwa ngesandla. Izinkampani ezifana ne-Deep 6 AI ne-Tempus zisebenzisa lokhu ukusheshisa ukubhaliswa. Ukufunda ngomshini kusiza ukuthuthukisa idizayini yesilingo - ukukhetha amasayithi, ukubikezela ukuyeka ukuyeka, nokuhlonza ama-biomarker achaza amaqoqo amancane abaphenduli. I-AI iphinde inike amandla 'izikhali zokulawula zokwenziwa,' isebenzisa idatha yomlando yesiguli ukunciphisa ukuthi bangaki abantu okufanele bathole i-placebo. Ekugadeni, ama-algorithms ahlaba umkhosi izehlakalo ezimbi kanye nokudidayo kwedatha ezinkulungwaneni zamarekhodi. Abalawuli okubandakanya i-FDA bakhiphe isiqondiso esisalungiswa ngendima ye-AI, ebonisa kokubili ithuba kanye nesidingo sokuqina.
I-Technical Insight
Izinjini ezifanisa isiguli zisebenzisa i-NLP yomtholampilo ukuze kukhishwe imiqondo ehlelekile (ukuxilongwa, amalebhu, imithi) kumanothi angahlelekile, bese isebenzisa ukufanisa okusekelwe emithethweni noma okufundiwe ngokumelene nemibandela yokufakwa/yokukhishwa. Ukubhalisa okuqagelayo kanye namamodeli ayekayo asebenzisa ukuhlaziya ukusinda kanye nokukhulisa i-gradient kusayithi nezici zesiguli. Izingalo zokulawulwa kokwenziwa zincike ezindleleni ze-causal-inference ezifana nokumataniswa kwe-propensity-score ukwenza idatha yomlando yangaphandle iqhathaniswe neqembu eliphathwayo, okulawula izihlanganisi ezingahle zicheme ukuqhathanisa.
Ukufundisa i-AI Ezivivinyweni Zomtholampilo
I-AI ihlela kabusha ukuthi imithi emisha ihlolwa kanjani - ithola iziguli ezifanele ngokushesha, ibikezela ukuthi yiziphi izivivinyo ezizophumelela, futhi ibambe izimpawu zokuphepha ngokushesha. Iqondise eyodwa yezingqinamba ezinkulu kakhulu zomuthi: ukuhlola kuhamba kancane, kuyabiza, futhi kuvame ukuhluleka. I-AI Ezivivinyweni Zomtholampilo isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kubumbe kakhulu ukukhetha kokuklama. Ukuze wakhe ukuqonda okujulile, phatha i-AI Ezivivinyweni Zomtholampilo njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-AI Ezivivinyweni Zomtholampilo aqondisa amandla obuchwepheshe nenqubomgomo yesizinda, ukucwaningwa kwamabhuku, kanye nokuthatha izinqumo okuphambili. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ngesikhathi esifanayo, izimfuneko Zokulawula zingenza ama-prototypes aqine ngenye indlela. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso.
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada.
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili.
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
I-Deep 6 AI ihlola ama-EHR ezibhedlela nge-NLP ukuze kuhlonzwe iziguli ezifanele ukuhlolwa ngemizuzu esikhundleni samaviki, kusheshiswe ukubhaliswa.
Izikhali zokulawula zokwenziwa ezakhiwe ngamarekhodi esiguli omlando zisetshenzisiwe (isb., ku-oncology kanye nokuhlolwa kwezifo ezingandile) ukuze kwehliswe inani leziguli ezinikezwe i-placebo.
Amamodeli okufunda ngomshini abikezela amasayithi ayeka ukuyeka isiguli kanye nalawo angasebenzi kahle ukuze abaxhasi bangenelele ngaphambi kokuhlolwa kwecala.
Amathuluzi e-AI ekhemisi we-pharmacovigilance scan isilingo kanye nedatha yangemva kwemakethe ukuze kutholwe amasiginali wesehlakalo esibi ngaphambi kokubuyekezwa mathupha.
Amaphethini Okusebenzisa
I-AI ku-Clinical Trials in practice
I-Deep 6 AI ihlola ama-EHR ezibhedlela nge-NLP ukuze kuhlonzwe iziguli ezifanele ukuhlolwa ngemizuzu esikhundleni samaviki, kusheshiswe ukubhaliswa.
I-Deep 6 AI ihlola ama-EHR ezibhedlela nge-NLP ukuze ihlonze iziguli ezifanele ukuhlolwa ngemizuzu esikhundleni samasonto, ukusheshisa ukubhalisa Amathimba ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka komuntu ezimweni ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI ku-Clinical Trials in practice
Izikhali zokulawula zokwenziwa ezakhiwe ngamarekhodi esiguli omlando zisetshenzisiwe (isb., ku-oncology kanye nokuhlolwa kwezifo ezingandile) ukuze kwehliswe inani leziguli ezinikezwe i-placebo.
Izikhali zokulawula zokwenziwa ezakhiwe ngamarekhodi esiguli omlando ziye zasetshenziswa (isb., ku-oncology nasezivivinyweni zezifo ezingandile) ukuze kuncishiswe inani leziguli ezinikezwa i-placebo Amaqembu ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka komuntu ngamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI ku-Clinical Trials in practice
Amamodeli okufunda ngomshini abikezela amasayithi ayeka ukuyeka isiguli kanye nalawo angasebenzi kahle ukuze abaxhasi bangenelele ngaphambi kokuhlolwa kwecala.
Amamodeli okufunda ngomshini abikezela izindawo eziyeka isiguli kanye nezingasebenzi kahle ukuze abaxhasi bangenelele ngaphambi kwezitolo zokuhlola Amathimba ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka kwabantu yamacala abucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI ku-Clinical Trials in practice
Amathuluzi e-AI ekhemisi we-pharmacovigilance scan isilingo kanye nedatha yangemva kwemakethe ukuze kutholwe amasiginali wesehlakalo esibi ngaphambi kokubuyekezwa mathupha.
Amathuluzi e-AI okuhlolwa kwemithi ahlola idatha yesilingo kanye nedatha yangemva kwemakethe ukuze kutholwe izimpawu zezenzakalo ezimbi ngaphambi kokubuyekeza mathupha Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka komuntu yezimo ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Izidingo zokulawula zingenza ama-prototypes aqine ngenye indlela.
Idatha yomlando ingase ihlanganise ukuchema okulimaza imiphakathi ethile.
Izinhlelo zefa zingakha izithiyo zokuhlanganisa kanye nezindleko ezifihliwe.
Ukuqalisa Umhlahlandlela
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni.
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.