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UNITED NATIONS EDUCATIONAL AND TRAINING PROGRAMME FOR SOUTHERN AFRICA : REPORT OF THE SECRETARY-GENERAL
Angola (continued) COuntry of Number of studY Field of studY awards Total ZAIRE Agronomy 2 Architecture 4 civil engineering 4 COmmerce 1 Economics 4 Education 1 French and African linguistics 3 Hospital administration 5 Kinisitherapy 3 Laboratory techniques 3 Law 2 Medicine 14 Nursing 4 Personnel management 1 Pharmacy 1 Plastic arts 3 Physical education 1 Physics 1 Psychology 2 Radiology 2 Science 7 Secondary education (advanced) 15 Social studies 5 Telecommunications 1 Topography 4 93 WffiIA Agriculture l'! (...) I 5 INDIA Architecture 1 Chemical engineering 1 Civil engineering 2 Commerce 1 DentaJ. surgery 3 Dentistry 1 Medicine 71 Microbiology 1 Science 3 Veterinary and animal husbandry 4 88 gj IRELAND Business administration 1 Computer 1 Economics 1 Medicine 8 II KENYA Accountancy 1 Electrical engineering 1 Medicine 1 Secondary education (advanced) 1 University studies 1 5 / ... (...) Total 21 5 UNITED STATES OF AMERICA Adult education African history (post-graduate) Agricultural economics Anatomy (post-graduate) Banking and finance (post-graduate) Biology Biology (post-graduate) Chemistry Communications Computer science Dentistry Economics Economics (post-graduate) Education (post-graduate) Electrical engineering Electronics technology 1 2 2 2 1 3 1 2 1 1 2 4 7 13 2 2 / ...
Language:English
Score: 1198025.6 - daccess-ods.un.org/acce...sf/get?open&DS=A/32/283&Lang=E
Data Source: ods
Health service provision is performed by public and private hospitals, as well as independent health professionals. Service networks are articulated with low-complexity services (general practice, nursing, dentistry, individual health education activities, vaccination, prenatal care, and early detection activities). (...) Low-complexity institutions provide services of general medicine, nursing, labour and delivery care, dentistry, pharmaceutical services, clinical laboratory (basic tests), and in some cases nutrition and therapy.
Language:English
Score: 1197783.1 - https://www.who.int/alliance-h...r_colombiaabridgedprimasys.pdf
Data Source: un
UNIVERSAL PERIODIC REVIEW :WRITTEN STATEMENT / SUBMITTED BY IMAM ALI’S POPULAR STUDENTS RELIEF SOCIETY
These medical supports include a variety of engagements from simple consulting services to a full conduct of hospitalization of kids and women. The Iranian Medical House with the cooperation of social workers and volunteer physicians and dentists has become a site for free dentistry and rehabilitation visits for refugee children and women.
Language:English
Score: 1187700.8 - https://daccess-ods.un.org/acc...open&DS=A/HRC/40/NGO/29&Lang=E
Data Source: ods
Bureau of Statistics, work unit of the Policy Integration Department ILO is a specialized agency of the United Nations About the ILO Topics Regions Meetings and events Publications Research Labour standards Statistics and databases Français | Español | FAQs | Contact us     Home page Introduction to occupational classifications   ISCO-08   Structure, definitions and correspondence tables     Eurostat Discussion Forum   ISCO-88   Structure & Definitions Alphabetical Index   ISCO-68   Major, Minor and Unit Groups Publication   ISCO-58   Major, Minor and Unit Groups Publication   Web Discussion Join Web Discussion   Papers and articles       MINOR GROUP 222: HEALTH PROFESSIONALS (EXCEPT NURSING)   Health professionals (except nursing) conduct research, improve or develop concepts, theories and operational methods, and apply scientific knowledge relating to medicine, dentistry, veterinary medicine, pharmacy, and promotion of health.
Language:English
Score: 1184113.9 - https://www.ilo.org/public/eng...ureau/stat/isco/isco88/222.htm
Data Source: un
Bureau of Statistics, work unit of the Policy Integration Department ILO is a specialized agency of the United Nations About the ILO Topics Regions Meetings and events Publications Research Labour standards Statistics and databases Français | Español | FAQs | Contact us     Home page Introduction to occupational classifications   ISCO-08   Structure, definitions and correspondence tables     Eurostat Discussion Forum   ISCO-88   Structure & Definitions Alphabetical Index   ISCO-68   Major, Minor and Unit Groups Publication   ISCO-58   Major, Minor and Unit Groups Publication   Web Discussion Join Web Discussion   Papers and articles       MINOR GROUP 222: HEALTH PROFESSIONALS (EXCEPT NURSING)   Health professionals (except nursing) conduct research, improve or develop concepts, theories and operational methods, and apply scientific knowledge relating to medicine, dentistry, veterinary medicine, pharmacy, and promotion of health.
Language:English
Score: 1184113.9 - www.ilo.org/public/engl...ureau/stat/isco/isco88/222.htm
Data Source: un
Deliverable Updated initial draft editor Availability* 0 Overview of the FG-AI4H deliverables Shan Xu (CAICT, China) K-047 1 AI4H ethics considerations Andreas Reis (WHO) K-028 ( K-028-A01 ) 2 AI4H regulatory best practices Jackie Ma (Fraunhofer HHI, Germany), Khair ElZarrad & Rose Purcell (FDA, USA) – ( K-049 ) 2.1 Mapping of IMDRF essential principles to AI for health software Luis Oala (Fraunhofer HHI, Germany), Pradeep Balachandran (Technical Consultant eHealth, India), Pat Baird (Philips, USA), Thomas Wiegand (Fraunhofer HHI, Germany) G-038 , G-038-A01 2.2 Good practices for health applications of machine learning: Considerations for manufacturers and regulators Pradeep Balachandran (India) and Christian Johner (Johner Institut, Germany) K-039 & Nextcloud document 3 AI4H requirement specifications Pradeep Balachandran (India) K-040 4 AI software life cycle specification Pat Baird (Philips, USA) J-033 ( K-034 ) 5 Data specification Marc Lecoultre (MLlab.AI, Switzerland) G-205 5.1 Data requirements [ Marc Lecoultre (MLlab.AI, Switzerland)]** I-044 5.2 Data acquisition Rajaraman (Giri) Subramanian (Calligo Tech, India), Vishnu Ram (India) G-205-A02 5.3 Data annotation specification Shan Xu (CAICT, China), Harpreet Singh (ICMR, India), Sebastian Bosse (Fraunhofer HHI, Germany) K-048 5.4 Training and test data specification Luis Oala (Fraunhofer HHI, Germany), Pradeep Balachandran (India) I-034 ( K-050 ) 5.5 Data handling Marc Lecoultre (MLlab.AI, Switzerland) DEL05 5.6 Data sharing practices Ferath Kherif (CHUV, Switzerland), Banusri Velpandian (ICMR, India), WHO Data Team J-054 ( K-051 ) 6 AI training best practices specification Xin Ming Sim and Stefan Winkler (AI Singapore) K-037 7 AI for health evaluation considerations Markus Wenzel (Fraunhofer HHI, Germany) K-038 7.1 AI4H evaluation process description Sheng Wu (WHO) G-207-A01 7.2 AI technical test specification Auss Abbood (Robert Koch Institute, Germany) I-027 7.3 Data and artificial intelligence assessment methods (DAISAM) reference Luis Oala (Fraunhofer HHI, Germany) K-045 7.4 Clinical evaluation of AI for health Naomi Lee (Lancet, UK), Eva Weicken (Fraunhofer HHI, Germany), Shubhanan Upadhyay (ADA Health, Germany) K-041 8 AI4H scale-up and adoption Sameer Pujari (WHO), Yu ZHAO and Javier Elkin [Previously: Robyn Whittaker (New Zealand)] – ( K-052 ) 9 AI4H applications and platforms Manjeet Chalga (ICMR, India), Aveek De (CMS, India) K-053-R01 9.1 Mobile applications Khondaker Mamun (UIU, Bangladesh), Manjeet Chalga (ICMR, India) I-048 9.2 Cloud-based AI applications Khondaker Mamun (UIU, Bangladesh) I-049 10 AI4H use cases: Topic description documents Eva Weicken (Fraunhofer HHI, Germany) K-004 10.1 Cardiovascular disease management (TG-Cardio) Benjamin Muthambi (Watif Health, South Africa) G-006 (general) 10.1 A Cardiovascular disease management (TG-Cardio), Subtopic: Cardiovascular disease (CVD) risk prediction using AI Benjamin Muthambi (Watif Health, South Africa) K-006-A01 (risk prediction) 10.2 Dermatology (TG-Derma) Weihong Huang (Xiangya Hospital Central South University, China) NOTE – Maria Vasconcelos (Fraunhofer, Portugal) resigned from the role. K-007-A01 10.3 Diagnosis of bacterial infection and anti-microbial resistance (TG-Bacteria) Nada Malou (MSF, France) K-008-A01 10.4 Falls among the elderly (TG-Falls) Pierpaolo Palumbo (University of Bologna, Italy); Inês Sousa (Fraunhofer Portugal) K-012-A01 10.5 Histopathology (TG-Histo) Frederick Klauschen (Charité Berlin, Germany) K-013-A01 10.6 Malaria detection (TG-Malaria) Rose Nakasi (Makerere University, Uganda) K-014-A01 10.7 Maternal and child health (TG-MCH) Raghu Dharmaraju (Wadhwani AI, India) and Alexandre Chiavegatto Filho (University of São Paulo, Brazil) K-015-A01 10.8 Neurological disorders (TG-Neuro) Marc Lecoultre (MLlab.AI, Switzerland) K-016-A01 10.9 Ophthalmology (TG-Ophthalmo) Arun Shroff (MedIndia) K-017-A01 10.10 Outbreak detection (TG-Outbreaks) Auss Abbood (Robert Koch Institute, Germany) and Stéphane Ghozzi (HZI, Germany) K-018-A01 10.11 Psychiatry (TG-Psy) Nicolas Langer (ETH Zurich, Switzerland) K-019-A01 10.12 AI for radiology (TG-Radiology) Darlington Ahiale Akogo (minoHealth AI Labs, Ghana) K-023-A01 10.13 Snakebite and snake identification (TG-Snake) Rafael Ruiz de Castaneda (UniGE, Switzerland) K-020-A01 10.14 Symptom assessment (TG-Symptom) Henry Hoffmann (Ada Health, Germany) K-021-A01 10.15 Tuberculosis (TG-TB) Manjula Singh (ICMR, India) K-022-A01 10.16 Volumetric chest CT (TG-DiagnosticCT) Kuan Chen (Infervision, China) K-009-A01 10.17 Dental diagnostics and digital dentistry (TG-Dental) Falk Schwendicke and Joachim Krois (Charité Berlin, Germany); Tarry Singh (deepkapha.ai, Netherlands) K-010-A01 10.18 Falsified Medicine (TG-FakeMed) Franck Verzefé (TrueSpec-Africa, DRC) K-011-A01 10.19 Primary and secondary diabetes prediction (TG-Diabetes) Andrés Valdivieso (Anastasia.ai, Chile) K-024-A01 10.20 AI for endoscopy (TG-Endoscopy) Jianrong Wu (Tencent Healthcare, China) K-025-A01 10.21 AI for Musculoskeletal medicine (TG-MSK) Peter Grinbergs (EQL, UK), Yura Perov (EQL, UK) K-026-A01 NOTES * The document numbers indicated reflect the status as of the end of the e-meeting J.
Language:English
Score: 1182165.9 - https://www.itu.int/en/ITU-T/f...ents/all/FGAI4H-K-200-R01.docx
Data Source: un
Assessment platform Luis Oala (Fraunhofer HHI, Germany), Steffen Vogler (Bayer, Germany) I-037 & Git live version 8 AI4H scale-up and adoption Sameer Pujari (WHO) and Robyn Whittaker (New Zealand) – 9 AI4H applications and platforms Manjeet Chalga (ICMR, India), Aveek De (CMS, India) J-044 , J-044-A01 9.1 Mobile applications Khondaker Mamun (UIU, Bangladesh), Manjeet Chalga (ICMR, India) I-048 , J-052 9.2 Cloud-based AI applications Khondaker Mamun (UIU, Bangladesh) I-049 , J-052 10 AI4H use cases: Topic description documents Eva Weicken (Fraunhofer HHI, Germany) J-030 10.1 Cardiovascular disease management (TG-Cardio) Benjamin Muthambi (Watif Health, South Africa) G-006 (general) 10.1 A Cardiovascular disease management (TG-Cardio), Subtopic: Cardiovascular disease (CVD) risk prediction using AI Benjamin Muthambi (Watif Health, South Africa) J-006-A01 (risk prediction) 10.2 Dermatology (TG-Derma) Weihong Huang​  (Xiangya Hospital Central South University, China​) J-007-A01 10.3 Diagnosis of bacterial infection and anti-microbial resistance (TG-Bacteria) Nada Malou (MSF, France) J-008-A01 10.4 Falls among the elderly (TG-Falls) Inês Sousa (Fraunhofer Portugal) J-012-A01 10.5 Histopathology (TG-Histo) Frederick Klauschen (Charité Berlin, Germany) J-013-A01 10.6 Malaria detection (TG-Malaria) Rose Nakasi (Makerere University, Uganda) J-014-A01 10.7 Maternal and child health (TG-MCH) Raghu Dharmaraju (Wadhwani AI, India) and Alexandre Chiavegatto Filho (University of São Paulo, Brazil) J-015-A01 10.8 Neurological disorders (TG-Neuro) Marc Lecoultre (MLlab.AI, Switzerland) J-016-A01 10.9 Ophthalmology (TG-Ophthalmo) Arun Shroff (MedIndia) J-017-A01 10.10 Outbreak detection (TG-Outbreaks) Auss Abbood (Robert Koch Institute, Germany) and Stéphane Ghozzi (HZI, Germany) J-018-A01 10.11 Psychiatry (TG-Psy) Nicolas Langer (ETH Zurich, Switzerland) J-019-A01 10.12 AI for radiology (TG-Radiology) Darlington Ahiale Akogo (minoHealth AI Labs, Ghana) J-023-A01 10.13 Snakebite and snake identification (TG-Snake) Rafael Ruiz de Castaneda (UniGE, Switzerland) J-020-A01 10.14 Symptom assessment (TG-Symptom) Henry Hoffmann (Ada Health, Germany) J-021-A01 10.15 Tuberculosis (TG-TB) Manjula Singh (ICMR, India) J-022-A01 10.16 Volumetric chest CT (TG-DiagnosticCT) Kuan Chen (Infervision, China) J-009-A01 10.17 Dental diagnostics and digital dentistry (TG-Dental) Falk Schwendicke and Joachim Krois (Charité Berlin, Germany); Tarry Singh (deepkapha.ai, Netherlands) J-010-A01 10.18 Falsified Medicine (TG-FakeMed) Franck Verzefé (TrueSpec-Africa, DRC) J-011-A01-R01 10.19 Primary and secondary diabetes prediction (TG-Diabetes) Andrés Valdivieso (Anastasia.ai, Chile) J-024-A01 10.20 AI for endoscopy (TG-Endoscopy) Jianrong Wu (Tencent Healthcare, China) J-025-A01-R01 10.21 AI for Musculoskeletal medicine (TG-MSK) Yura Perov  (EQL, UK) – * NOTE: The document numbers indicated reflect the status as of the end of the e-meeting J.
Language:English
Score: 1182165.9 - https://www.itu.int/en/ITU-T/f...ents/all/FGAI4H-J-200-R01.docx
Data Source: un
The topic groups are: AI and cardiovascular disease management, Dermatology, falls among the elderly, Histopathology, neurological disorders, outbreak detection, Ophthalmology, Psychiatry, snakebite and snake identification, symptom assessment, Tuberculosis, volumetric chest computed tomography, diagnosis of bacterial infection and anti-microbial resistance, dental diagnostics and digital dentistry, primary and secondary Diabetes prediction, detection of falsified medicine, Malaria detection, maternal and child health, Radiology and AI for Endoscopy. (...) In addition, the data must originate from a variety of sources so that it can be determined whether an AI algorithm can generalize across different conditions, locations, or settings (e.g. across different people, hospitals, and/or measurement devices). The format/properties of the data serving as input to the AI and of the output expected from the AI, as well as the benchmarking metrics are agreed upon and specified by the topic group.
Language:English
Score: 1182165.9 - https://www.itu.int/en/ITU-T/f...uments/tg/CfP-TG-Endoscopy.pdf
Data Source: un
REPORT ON ACTIVITIES UNDER THE UNEP MERCURY PROGRAMME: AWARENESS RAISING: A MODULAR APPROACH
MODULE 1: Introduction to the Mercury Problem MODULE 2: Mercury in Products and Wastes MODULE 3: Mercury and Industry MODULE 4: Mercury Use in Artisanal and Small Scale Gold Mining MODULE 5: Mercury Use in Healthcare Settings and Dentistry MODULE 6: Cultural Uses of Mercury The organization of the modules allows you to go directly to the topic of interest.
Language:English
Score: 1180825.4 - daccess-ods.un.org/acce...P(DTIE)/HG/OEWG.1/INF/5&Lang=E
Data Source: ods